Hjortfors Irie, Dje Bi Anges Magnus (2024) Essays on wealth inequality and financial economics. PhD thesis, London School of Economics and Political Science. Xiao, Song (2024) Essays in asset pricing and monetary policy. PhD thesis, London School of Economics and Political Science. Tian, Jiaxing (2024) Essays on pension, insurance and mutual fund markets. PhD thesis, London School of Economics and Political Science. Wu, Yue (2024) Shareholder activism: the interactions between firm meetings and asset markets. PhD thesis, London School of Economics and Political Science. Chen, Jane Jingxuan (2023) Essays on communication and trading in financial markets. PhD thesis, London School of Economics and Political Science. Salarkia, Amirabas (2023) Essays in empirical asset pricing. PhD thesis, London School of Economics and Political Science. Tang, Bo (2022) Essays on FinTech and financial markets. PhD thesis, London School of Economics and Political Science. Täger, Matthias (2022) Constructing climate risk: how finance governs its relationship with the planet’s climate. PhD thesis, London School of Economics and Political Science. Yin, Xiang (2022) Essays in empirical corporate finance. PhD thesis, London School of Economics and Political Science. Pelosi, Marco (2022) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Shi, Ran (2022) Essays in asset pricing. PhD thesis, London School of Economics and Political Science. Huang, Jiantao (2022) Essays in empirical asset pricing. PhD thesis, London School of Economics and Political Science. Chen, Juan (2022) Essays on corporate finance and governance. PhD thesis, London School of Economics and Political Science. Iwadate, Muneaki Bruce (2021) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Yuan, Yue (2021) Essays on corporate finance under asymmetric information. PhD thesis, London School of Economics and Political Science. Risteska, Simona (2021) Essays on learning and information-processing in financial markets. PhD thesis, London School of Economics and Political Science. Nicolai, Francesco (2021) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Pellicioli, Alberto (2021) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Carella, Agnese (2021) Essays in household finance. PhD thesis, London School of Economics and Political Science. Hu, Zhongchen (2021) Essays on household finance, venture capital, and labor. PhD thesis, London School of Economics and Political Science. Todorov, Karamfil (2020) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Core, Fabrizio (2020) Essays on entrepreneurship. PhD thesis, London School of Economics and Political Science. Wang, Su (2019) Essays in corporate finance. PhD thesis, London School of Economics and Political Science. Guo, Tengyu (James) (2019) Essays in factor-based investing. PhD thesis, London School of Economics and Political Science. Ryduchowska, Malgorzata Teresa (2019) Essays in empirical corporate finance. PhD thesis, London School of Economics and Political Science. Han, Yueyang (2019) Essays on information and frictions in financial markets. PhD thesis, London School of Economics and Political Science. Papadimitriou, Dimitris (2019) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Ricca, Bernardo (2019) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Kremens, Lukas (2019) Essays on foreign exchange risk. PhD thesis, London School of Economics and Political Science. Gorrín, Jesús (2018) Essays in empirical corporate finance. PhD thesis, London School of Economics and Political Science. Bretscher, Lorenzo (2018) Essays in macro finance. PhD thesis, London School of Economics and Political Science. Sabtchevsky, Petar Svilenov (2018) Three papers on asset pricing. PhD thesis, London School of Economics and Political Science. Obizhaeva, Olga A. (2017) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Savic, Una (2017) Essays in financial intermediation. PhD thesis, London School of Economics and Political Science. Punz, Michael (2017) Essays on delegated portfolio management. PhD thesis, London School of Economics and Political Science. Seyedan, Seyed (2016) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Zaccaria, Luana (2016) Essays in corporate finance. PhD thesis, London School of Economics and Political Science. Choi, Hoyong (2016) Essays on asset pricing. PhD thesis, London School of Economics and Political Science. Zhang, Cheng (2016) Essays on asset pricing. PhD thesis, London School of Economics and Political Science. Glebkin, Sergey (2016) Three essays in financial economics. PhD thesis, London School of Economics and Political Science. Shen, Ji (2015) Essays on asset pricing in over-the-counter markets. PhD thesis, London School of Economics and Political Science. Martinovic, Milan (2015) Venture capital investments, exits and post-IPO performance. MPhil thesis, London School of Economics and Political Science. Yan, Wen (2015) Essays on the term structures of bonds and equities. PhD thesis, London School of Economics and Political Science. Lu, Yiqing (2015) Essays on adaptation, innovation incentives and compensation structure. PhD thesis, London School of Economics and Political Science. Chen, Huaizhi (2015) Essays on empirical asset pricing. PhD thesis, London School of Economics and Political Science. Roulstone, Claire (2015) Inside the social world of a witness care unit: role-conflict and organisational ideology in a service. PhD thesis, London School of Economics and Political Science. von Drathen, Christian (2014) Essays in empirical finance. PhD thesis, London School of Economics and Political Science. Dobrynskaya, Victoria (2014) Downside risk in stock and currency markets. PhD thesis, London School of Economics and Political Science. Kuong, John (2014) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Huang, Shiyang (2014) Essays on information asymmetry in financial market. PhD thesis, London School of Economics and Political Science. Zhou, Ping (2014) Essays on credit risk. PhD thesis, London School of Economics and Political Science. Zeng, Jing (2014) Essays on financial intermediation. PhD thesis, London School of Economics and Political Science. Donaldson, Jason (2014) Essays in financial contract theory. PhD thesis, London School of Economics and Political Science. Zer Boudet, Ilknur (2013) Essays on financial economics. PhD thesis, London School of Economics and Political Science. Valenzuela Bravo, Marcela Andrea (2013) Essays on financial economics. PhD thesis, London School of Economics and Political Science. Piacentino, Giorgia (2013) Theories of the effects of delegated portfolio managers' incentives. PhD thesis, London School of Economics and Political Science. Costa Neto, Nelson (2012) Essays on information asymmetry and financial institutions. PhD thesis, London School of Economics and Political Science. Deb, Pragyan (2012) Essays on the impact of competition on financial intermediaries. PhD thesis, London School of Economics and Political Science. Yen, Yu-Min (2012) Three essays in financial econometrics. PhD thesis, London School of Economics and Political Science. Shang, Qi (2012) Essays in asset pricing and institutional investors. PhD thesis, London School of Economics and Political Science. Maurer, Thomas A. (2012) Is consumption growth only a sideshow in asset pricing?: asset pricing implications of demographic change and
shocks to time preferences. PhD thesis, London School of Economics and Political Science. Teo, Terence (2012) Essays on disclosure of holdings by institutional investors. PhD thesis, London School of Economics and Political Science. Parida, Sitikantha (2012) Essays on delegated portfolio management. PhD thesis, London School of Economics and Political Science. Lew, Sean (2012) Essays on market microstructure. PhD thesis, London School of Economics and Political Science. Fardeau, Vincent (2011) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Venter, György (2011) Essays on asymmetric information and trading constraints. PhD thesis, London School of Economics and Political Science. Wang, Yiyi (2011) Rational bubble, short-dated volatility forecasting and extract more from the volatility surface. PhD thesis, London School of Economics and Political Science. Anton Sancho, Miguel (2011) Three essays on the comovement of financial assets. PhD thesis, London School of Economics and Political Science. Liu, Zijun (2011) Essays in financial intermediation. PhD thesis, London School of Economics and Political Science. Garavito, Fabian (2010) Essays on delegated asset management. PhD thesis, London School of Economics and Political Science. Bena, Jan (2009) Essays on the interaction between financial development and real economy. PhD thesis, London School of Economics and Political Science. Lee, KeunJung (2009) Three essays on corporate governance in Korea. PhD thesis, London School of Economics and Political Science. Chen, Runquan (2009) Volatility and correlation in financial markets: Econometric modeling and empirical pricing. PhD thesis, London School of Economics and Political Science. Protopapa, Marco (2009) An essay in corporate finance: Managerial incentives, financial constraints and ownership concentration. PhD thesis, London School of Economics and Political Science. Afonso, Gara Minguez (2008) Liquidity, information and coordination in financial markets. PhD thesis, London School of Economics and Political Science. Reusch, Christian (2008) On the non-linear dynamics of financial market risk and liquidity. PhD thesis, London School of Economics and Political Science. Arcot, Sridhar Rao (2007) Essays in corporate finance. PhD thesis, London School of Economics and Political Science. 134 Economics Thesis Topics: Ideas for Outstanding Writing![finance diploma thesis finance diploma thesis](https://ivypanda.com/blog/wp-content/uploads/2020/10/business-woman-hand-with-financial-charts-and-laptop-736x491.jpg) Writing a thesis is not an easy task. For most of the students, it can be even intimidating, especially when you do not know where to start your research. Here, we have provided an economics thesis topics list. After all, everyone knows that choosing the right idea is crucial when writing an academic paper. In economics, it can combine history, math, social studies, politics, and numerous other subjects. You should also have solid foundations and a sound factual basis for a thesis. Without these elements, you won’t be able to master your research paper. The issue is: It is not always clear what could be seen as an excellent economics thesis topic. Our experts can assist you with this challenge. This list contains some outstanding examples to get you started. - ⭐ Thesis in Economics
- 🔥 Supreme Thesis Topics
- 👍 Bachelor’s Thesis
- 😲 Master’s Thesis
📊 Microeconomics📈 macroeconomics. - 🤔 Developmental
- 👨💼 Behavioral
- 💼 Financial
- 🌱 Agricultural
- 🤝 Sociology
- 📚 Ph.D. Topics
- 📝 How to Pick a Topic
⭐ What Does a Thesis in Economics Look Like?A good thesis in economics is a blend between an empirical paper and a theoretical one. One of the essential steps in choosing a topic in economics is to decide which one you will write. You may write, research, analyze statistical data and other information. Or build and study a specific economic model. Or why not both! Here are some questions you can ask when deciding what topic to choose: - What has already been written on this topic?
- What economic variables will my paper study?
- Where should I look for the data?
- What econometrics techniques should I use?
- What type of model will I study?
The best way to understand what type of research you have to do is to write a thesis proposal. You will most probably be required to submit it anyway. Your thesis supervisor will examine your ideas, methods, list of secondary and primary sources. At some universities, the proposal will be graded. ![finance diploma thesis Master’s thesis and Bachelor’s thesis have three main differences.](https://ivypanda.com/blog/wp-content/uploads/2021/03/1-master-thesis-and-bachelor-thesis.png) After you get the initial feedback, you will have a clear idea of what to adjust before writing your thesis. Only then, you’ll be able to start. 🔥 Supreme Economics Thesis Topics List- Fast fashion in India.
- The UK housing prices.
- Brexit and European trade.
- Behavioral economics.
- Healthcare macroeconomics.
- COVID-19’s economic impact.
- Global gender wage gap.
- Commodity dependence in Africa.
- International trade – developing countries.
- Climate change and business development.
👍 Economics Bachelor’s Thesis TopicsAt the U.S. Universities, an undergraduate thesis is very uncommon. However, it depends on the Department Policy. The biggest challenge with the Bachelor’s Thesis in economics concerns its originality. Even though you are not required to conduct entirely unique research, you have to lack redundant ideas. You can easily avoid making this mistake by simply choosing one of these topics. Also, consider visiting IvyPanda essays database. It’s a perfect palce to conduct a brainstorming session and come up with fresh ideas for a paper, as well as get tons of inspiration. - The impact of the oil industry on the economic development of Nigeria. The oil industry is vital for the economic development of Nigeria. In this thesis, students can discuss the notion of the resource curse. Analyze the reasons why general people are not benefiting from the oil industry. Why did it produce very little change in the social and economic growth of the country?
- Sports Marketing and Advertising: the impact it has on the consumers.
- Economic opportunities and challenges of investing in Kenya .
- Economic Development in the Tourism Industry in Africa. Since the early 1990s, tourism significantly contributed to the economic growth of African countries. In this thesis, students can talk about the characteristics of the tourist sector in Africa. Or elaborate on specific countries and how their national development plans look like.
- Globalization and its significance to business worldwide .
- Economic risks connected to investing in Turkey .
- The decline in employment rates as the biggest American economy challenge .
- The economics of alcohol abuse problems. In this thesis, students can develop several essential issues. First, they can examine how poverty is connected to alcohol abuse. Second, they can see the link between alcohol consumption and productivity. To sum up, students can elaborate on the economic costs of alcohol abuse.
- Causes and solutions for unemployment in Great Britain.
- Parallel perspective on Global Economic Order: China and America. This thesis can bring a comparative analysis of the economies to a new level. China and The US are the world’s two largest economies. These two countries have a significant impact on the global economic order. So, looking at the set of institutions, policies, rules can be constructive.
- The new international economic order after COVID-19
- Financial stability of the banking sector in China.
- New Electronic Payment Services in Russia.
- The influence of culture on different entrepreneurial behaviors.
- The impact of natural cultural practices on entrepreneurial activity.
- The relationships between national culture and individual behavior.
- The main reasons for salary inequalities in different parts of the U.S.
😲 Economics Master’s Thesis TopicsStudent life can be fascinating, but it comes with its challenges. One of which is selecting your Master’s thesis topic. Here is a list of topics for a Master’s thesis in economics. Are you pursuing MPhil in Economics and writing a thesis? Use the following ideas as an inspiration for that. They can also be helpful if you are working on a Master’s thesis in financial economics. - The impact of visual aid in teaching home economics.
- The effect of income changes in consumer behaviors in America.
- Forces behind socio-economic inequalities in the United States. This thesis can explore three critical factors for socio-economic differences in the United States. In the past 30 years, social disparities increased in the United States. Some of the main reasons are technology, trade, and institutions.
- The relationships between economic growth and international development.
- Technological innovations and their influence on green and environmental products.
- The economics of non-solar renewable energy .
![finance diploma thesis Renewable energy is beneficial for various economic reasons.](https://ivypanda.com/blog/wp-content/uploads/2021/03/2-renewable-energy.png) - The economic consequences of terrorism . Terrorism not only takes away lives and destroys property but also widely affects the economy. It creates uncertainty in the market, increases insurance claims, slows down investment projects, and tourism. This thesis can address all of the ways in which terrorism can affect economies.
- Corporate Social Responsibility (CSR) implementation in the Oil and Gas Industry in Africa.
- Use of incentives in behavioral economics.
- Economic opportunities and challenges of sustainable communities .
- Economics of nuclear power plants.
- Aid and financial help for emerging markets. This topic is very versatile. Students can look at both the positive and the adverse effects that funding has on the development. There are plenty of excellent examples. Besides, some theories call international help a form of neocolonialism.
- Multinational firms impact on economic growth in America .
- The effect of natural disasters on economic development in Asia.
- The influence of globalization on emerging markets and economic development.
📑 More Economics Thesis Topics: ThemeFor some students, it makes more sense to center their search around a certain subject. Sometimes you have an econ area that interests you. You may have an idea about what you want to write, but you did not decide what it will be. If that’s the case with you, then these economics thesis topics ideas are for you. - An analysis of the energy market in Russia.
- The impact of game theory on economic development.
- The connection between minimum wage and market equilibrium.
- Gender differences in the labor market in the United States. This topic can shed light on gender differences in the labor market in the United States. In the past years, the overall inequality in labor in the markets decreased. However, there is still a lot of work that can be done.
- Economic reasons that influence the prices of oil .
- Relationship between the Lorenz curve and the Gini coefficient.
- Challenges of small businesses in the market economy.
- The changes in oil prices: causes and solutions . Universal economic principles do not always apply to the sale and purchase of the oil. The same happens with its cost. In the thesis, talk about what affects the prices. What are the solutions that can be implemented?
- The economic analysis of the impact of immigration on the American economy.
![finance diploma thesis Immigration has a little long-run effect on Americans’ wages.](https://ivypanda.com/blog/wp-content/uploads/2021/03/3-immigration-in-us.png) - Economic inequality as a result of globalization . Economic inequality becomes even more apparent on the global level. There is a common belief that globalization is the cause of that. Discuss what can be the solutions to these problems. This topic is vital to minimize the gap between the rich and the poor.
- The economic explanation of political dishonesty .
- Effect of Increasing Interest rates costs in Africa .
- The connection between game theory and microeconomics.
- Marketing uses in microeconomics.
- Financial liability in human-made environmental disasters.
- Banks and their role in the economy. Banks are crucial elements of any economy, and this topic covers why. You can explain how banks allow the goods and services to be exchanged. Talk about why banks are so essential for economic growth and stability.
- Inflation in the US and ways to reduce its impact.
- The connection between politics and economics.
- Income Dynamics and demographic economics.
- US Market Liquidity and macroeconomics.
- Macroeconomics and self-correction of the economy .
- The American economy, monetary policy, and monopolies .
- The importance of control in macroeconomics. One of the central topics in macroeconomics is grouped around the issue of control. It is quite reasonable that control over money and resources should become a topic of discussion.
- Analysis of Africa’s macroeconomics and its performance.
- Economics of education in developing markets.
- Problems and possible solutions for Japan macroeconomics .
- Comparative analysis of British macroeconomics concerning the US .
- Public policies and socio-economic disparities.
- The world problems through macroeconomic analysis. Indeed, macroeconomics is very complicated. There are many influences, details, and intricacies in it. However, it allows economists to use this complex set of tools to examine the world’s leading problems today.
![finance diploma thesis There are four main problems in macroeconomics.](https://ivypanda.com/blog/wp-content/uploads/2021/03/4-main-problems-in-macroeconomics.png) - The connection between employment interest and money.
🤔 Development Economics- Economics of development . This topic is very rich in content. First, explain what it is. Then pay particular attention to domestic and international policies that affect development, income distribution, and economic growth.
- The relation between development and incentive for migration.
- The impact of natural disasters on the economy and political stability of emerging markets.
- The economic consequences of population growth in developing countries.
- The role of industrialization in developing countries . The industrialization has been connected with the development. It promotes capital formation and catalyzes economic growth in emerging markets. In this thesis, you can talk about this correlation.
- Latin American economic development.
- Gender inequality and socio-economic development .
- Problems of tax and taxation in connection with economic growth.
- The economic impact of terrorism on developing markets.
- Religious decline as a key to economic development. Not everyone knows, but a lot of research has been done in the past years on the topic. It argues that decreased religious activity is connected with increased economic growth. This topic is quite controversial. Students who decide to write about it should be extra careful and polite.
👨💼 Behavioral Economics- Risk Preferences in Rural South Africa.
- Behavioral Economics and Finance .
- Applied behavioral economics in marketing strategies. If you want to focus your attention on marketing, this topic is for you. Behavioral economics provides a peculiar lens to look at marketing strategies. It allows marketers to identify common behaviors and adapt their marketing strategies.
- The impact of behavioral finance on investment decisions.
- Behavioral Economics in Child Nutrition Programs in North Texas.
- Guidelines for Behavioral Economics in Healthcare Sector.
- Cognitive and behavioral theories in economics .
- Cross-cultural consumer behavior and marketing communication. Consumers are not only affected by personal characteristics, but also by the culture they are living in. This topic focuses on the extent it should determine marketing strategy and communication.
- Behavior implications of wealth and inequality.
![finance diploma thesis The richest population holds a huge portion of the national income.](https://ivypanda.com/blog/wp-content/uploads/2021/03/5-world-inequality-report-1024x355.png) - Optimism and pessimism for future behavior.
💼 Financial Economics- Financial Economics for Infrastructure and Fiscal Policy .
- The use of the economic concept of human capital. Students can focus on the dichotomy between human and nonhuman capital. Many economists believe that human capital is the most crucial of all. Some approach this issue differently. Therefore, students should do their research and find where they stand on this issue.
- The analysis of the global financial crisis of 2020s. Share your thoughts, predictions, ideas. Analyze the economic situation that affects almost everyone in the world. This thesis topic will be fresh and original. It can help to start a good and fruitful conversation.
- The big data economic challenges for Volvo car.
- The connection between finance, economics, and accounting.
- Financial economics: Banks competition in the UK .
- Risk-Taking by mutual funds as a response to incentives.
- Managerial economics and financial accounting as a basis for business decisions.
- Stock market overreaction.
🌱 Agricultural Economics- Agricultural economics and agribusiness.
- The vulnerability of agricultural business in African countries.
- Agricultural economics and environmental considerations of biofuels .
- Farmer’s contribution to agricultural social capital.
- Agricultural and resource economics. Agricultural and resource economics plays a huge role in development. They are subdivided into four main characteristics which in this topic, students can talk about: – mineral and energy resources; – soil resources, water resources; – biological resources. One or even all of them can be a focus of the thesis.
- Water as an economic good in irrigated agriculture.
- Agriculture in the economic development of Iran.
- The US Agricultural Food Policy and Production .
- Pesticides usage on agricultural products in California.
![finance diploma thesis The region of greatest pesticide use was San Joaquin Valley.](https://ivypanda.com/blog/wp-content/uploads/2021/03/6-region-of-gratest-pesticide.png) - An analysis of economic efficiency in agriculture. A lot of research has been done on the question of economic efficiency in agriculture. However, it does not mean there is no place for your study. You have to read a lot of secondary sources to see where your arguments can fit.
🤝Economic Sociology- Theory, approach, and method in economics sociology.
- Economic sociology of capitalism. While economists believe in the positive effect capitalism has on the economy, the social effect is quite different. The “economic” part of the issue has been studied a lot. However, the sociology of it has been not. This thesis can be very intriguing to read.
- Political Economy and Economic Sociology.
- Gender and economic sociology .
- Progress, sociology, and economics.
- Data analysis in economics, sociology, environment .
- Economic sociology as a way to understand the human mind.
- Economic sociology of money.
- Economics, sociology, and psychology of security.
- Major principles of economic sociology. In the past decade, economic sociology became an increasingly popular field. Mainly due to it giving a new view on economics, human mind, and behavior. Besides, it explores relationships between politics, law, culture, and gender.
📚 The List of Ph.D. Topics in EconomicsIf you decide to go to grad school to do your Masters, you will likely end up getting a Ph.D. as well. So, with this plan in mind, think about a field that interests you enough during your Masters. Working with the same topic for both graduate degrees is easier and more effective. This list of Ph.D. Topics in Economics can help you identify the areas you can work on. - Occupational injuries in Pakistan and its effect on the economy. Injuries are the leading cause of the global burden of disability. Globally, Pakistan was ranked 9th populated country with a large number of unskilled workers. In this dissertation, consider the link between occupational injuries and their effects on the economy.
- The study of the Philippines’ economic development.
![finance diploma thesis The Philippine economy is projected to continue on its expansionary path.](https://ivypanda.com/blog/wp-content/uploads/2021/03/7-the-philippines-economy.png) - Financial derivatives and climate change .
- Econometric Analysis of Financial Markets.
- Islamic Banking and Financial Markets .
- Health economics and policy in the UK.
- Health insurance: rationale and economic justification. In this dissertation, students can find different ways to explain and justify health insurance. Starting to philosophical to purely economic grounds. In the past years, there was a lot of discussion regarding the healthcare system for all. What are some of the economic benefits of that?
- Colombian economy, economic growth, and inequality.
- Benefits of mergers and acquisitions in agribusiness.
- Methods to measure financial risks when investing in Africa.
- The significance of financial economics in understanding the relationship between a country’s GDP and NDP.
- Network effects in cryptocurrency. Cryptocurrencies are not new anymore. However, it is still an original subject for a dissertation. Students can decide to choose several crypto coins and evaluate the importance of the network effect. This effect is particularly significant for Bitcoin. Explain why.
- The comparison of the Chinese growth model with the American growth model.
- An economic justification versus political expediency.
- Pollution Externalities Role in Management Economics .
📝 How to Select an Economics Thesis TopicAs your academic journey is coming to an end, it’s time to pick the right topic for your thesis. The whole academic life you were preparing to undertake this challenge. Here is the list of six points that will help you to select an economics thesis topic: - Make sure it is something you are genuinely interested in. It is incredibly challenging to write something engaging if you are not interested in the topic. So, choose wisely and chose what excites you.
- Draw inspiration from the previous student’s projects. A great place to start is by looking at what the previous students wrote. You can find some fresh ideas and a general direction.
- Ask your thesis advisor for his feedback. Most probably, your thesis advisor supervised many students before. They can be a great help too because they know how to assess papers. Before meeting with your professor, do some basic research, and understand what topic is about.
- Be original, but not too much. You do not want to spend your time writing about a project that many people wrote about. Your readers will not be interested in reading it, but your professors as well. However, make sure you do not pick anything too obscure. It will leave you with no secondary sources.
- Choose a narrow and specific topic. Not only will it allow you to be more original, but also to master a topic. When the issue is too broad, there is just too much information to cover in one thesis.
- Go interdisciplinary. If you find yourself interested in history, philosophy, or any other related topic, it can help you write an exceptional thesis in economics. Most of your peers may work on pure economics. Then, the interdisciplinary approach can help you to stand out among them.
![finance diploma thesis Some universities ask their students to focus on topics from one discipline.](https://ivypanda.com/blog/wp-content/uploads/2021/03/8-focus-on-topics.png) Thank you for reading the article to the end! We hope this list of economics thesis topics ideas could help you to gather your thoughts and get inspired. Share it with those who may find it useful. Let us know what you think about it in the comment section below. 🔗 References- Economics Thesis Topics List: Seminars Only
- How To Pick A Topic For Your Economics Research Project Or Master’s Thesis: INOMICS, The Site for Economists
- What Do Theses and Dissertations Look Like: KU Writing Center, the University of Kansas
- Writing Economics: Robert Neugeboren with Mireille Jacobson, University of Harvard
- Economics Ph.D. Theses: Department of Economics, University of Sussex Business School, IDEAS_RePEc
- World Economic Situation and Prospects 2018: United Nations
- Undergraduate Honors Theses: Department of Economics, University of California, Berkeley
- Economics Department Dissertations Collection: Economics Department, University of Massachusetts Amherst
- Topics for Master Theses: Department of Economics, NHH, Norwegian School of Economics
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The dilemma I faced in getting Thesis proposal for my M Phil programme is taken away. Your article would be a useful guide to many more students.Thank you for your guidance. Thanks for the feedback, John! Your opinion is very important for us! I wants it for msc thesis These are very helpful and concise research topics which I have spent days surfing the internet to get all this while. Thanks for making research life experience easier for me. Keep this good work up. Thank you, Idris! Glad to hear that! Thank you for your feedback, Idris! Excellent research For research A very well written, clear and easy-to-read article. It was highly helpful. Thank you! Thanks for your kind words! We look forward to seeing you again! - Bibliography
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83 years later, 105-year-old finally earns master's from StanfordVirginia Hislop has spent a lifetime trying to increase access to education, and now, at 105 years old, she appears to have completed her own schooling. On Sunday, Hislop celebrated Stanford University's conference of a master of art's degree in education — 83 years after having left campus just shy of the degree. Her son-in-law had contacted the institution and discovered a final thesis, her unfulfilled obligation, was no longer required. “I’ve been doing this work for years and it’s nice to be recognized with this degree,” Hislop told Stanford for a story about her nearly lifelong journey to a stage on campus , where a diploma in a Cardinal-red cover was placed in her hand. ![finance diploma thesis master's degree recipient virginia hislop](https://media-cldnry.s-nbcnews.com/image/upload/t_fit-760w,f_auto,q_auto:best/rockcms/2024-06/240618-virginia-hislop-degree-NBC-Bay-Area-snip-ac-1026p-dbb4db.jpg) In 1941, on the eve of the United States' direct involvement in World War II, and as her fiance was preparing to be called to serve, Hislop skipped out on the thesis. Her Stanford days, starting in 1936, were nonetheless fruitful, and she earned an undergraduate education degree before moving directly to postgraduate studies. She wanted to go to law school, Hislop has said, but her father wouldn't pay for it, so she opted for the briefer time required for teaching. Hislop had completed coursework for a master's and needed only to turn in the final version of her thesis, she has said. Instead, she told NBC Bay Area, she skipped town and had a honeymoon in Oklahoma near her husband's Army post at Fort Sill. "Not my idea of a place for a honeymoon," she told the station, "but I had no choice in the matter." At the time, such a sacrifice — trading her career for marriage and a future family — was seen as a way to support the war effort. It was a sacrifice for America. She had grown up in Los Angeles, but after the war the California girl found herself with husband George in Yakima, Washington, where George took part in the family business of ranching. They raised two children, which put Hislop's focus on a passion stoked during her days in Palo Alto: education. "I didn’t return to teaching, but I feel I put my teaching certificate to good use serving in committees and on boards and trying to improve the educational opportunities every chance I got," she told the Yakima Herald-Republic in 2018. She opposed middle school curricula that required home economics but not advanced English for her daughter, so she ran for the Yakima School District Board of Directors and won, according to the publication. Hislop also successfully lobbied for independent community college districts in Washington state at a time when Yakima's two-year college was under the otherwise K-12 district. ![finance diploma thesis master's degree recipient virginia hislop](https://media-cldnry.s-nbcnews.com/image/upload/t_fit-760w,f_auto,q_auto:best/rockcms/2024-06/240618-virginia-hislop-degree-NBC-Bay-Area-snip-ac-1027p-4d2216.jpg) She was eventually recruited to raise funds for what would become Heritage University, a women-founded, women-led institution about 20 miles south of Yakima. She launched the school's annual Bounty of the Valley Scholarship Dinner, which by 2018 had raised nearly $6 million to help students attend the institution. Hislop is listed by the school as a board member emerita. At Pacific Northwest University, a medical and health sciences school in Yakima, a scholarship, the Virginia Hislop Emergency Fund , bares her name. Her interest in broad access to education may have been inspired by an aunt who was the principal of a public school in West Los Angeles' Sawtelle Japantown neighborhood when Hislop grew up in L.A. Sawtelle is an area originally anchored by a housing and care facility for disabled veterans of the Civil War, but it evolved into a community populated by Japanese Americans and Latinos. ![finance diploma thesis master's degree recipient virginia hislop](https://media-cldnry.s-nbcnews.com/image/upload/t_fit-760w,f_auto,q_auto:best/rockcms/2024-06/240618-virginia-hislop-degree-NBC-Bay-Area-snip-ac-1025p-e5c576.jpg) Hislop said she was moved by her aunt’s experience seeing education change lives on L.A.’s Westside, according to the Yakima Herald-Republic. “Aunt Nora would tell us about some of the Hispanic students in her school and how they were doing and the difference that education made for them,” she told the publication. “It seemed to me that without an education, your future was limited and with an education it was unlimited.” Her new degree is punctuation for a life spent advocating for public education for the masses. On Sunday, Daniel Schwartz, dean of Stanford’s Graduate School of Education, handed Hislop her master’s diploma with a broad smile, describing her as “a fierce advocate for equity and the opportunity to learn." ![finance diploma thesis](https://media-cldnry.s-nbcnews.com/image/upload/t_focal-60x60,f_auto,q_auto:best/newscms/2020_03/3184066/dennis-romero-circle-byline-template.jpg) Dennis Romero is a breaking news reporter for NBC News Digital. The potential benefits of collegeThe cost of college, other factors to consider, is college worth it a question with no easy answer. Affiliate links for the products on this page are from partners that compensate us (see our advertiser disclosure with our list of partners for more details). However, our opinions are our own. See how we rate personal loans to write unbiased product reviews. - College can be worth the cost, time, and commitment, though numerous factors should be considered.
- You'll get a better financial return on investment with certain degrees more than others.
- Determining the true price of college is hard, as all schools present costs and aid differently
Increased earning potentialResearch shows that a college education is linked to higher earnings over your lifetime. Higher education is correlated with better pay at every level. And a bachelor's degree is worth $2.8 million on average over a lifetime, according to a Georgetown University study. Bachelor's degree holders earn 31% more than those with an associate's degree and 84% more than those with just a high school diploma. Career advancement opportunitiesSince the economic recovery following the 2008 recession, degree holders have seen increased and better job opportunities than their peers without degrees: - Since then, Bachelor's degree holders have gained 3.8 million jobs, while those with only a high school degree have gained 80,000.
- 95% of jobs created have required at least some college experience.
- College grads have access to 57% more opportunities than those without a degree.
Personal growth and developmentCollege is where you develop not only your education, but also your personal skills and knowledge. Higher education helps develop communication and time management skills. You learn how to work as a team and be adaptable, resolve conflict, and adopt leadership and problem solving skills. These are soft skills that can't be found in textbooks. Network buildingThe opportunity to network and meet people who could become of high importance throughout your career is one of the key benefits of college. An estimated 85% of jobs are found through networking. Networking is also good practice for learning to socialize and communicate appropriately and professionally. Tuition and feesThe cost of college has been rising for decades, outpacing the rate of inflation . Tuition and fees are higher every year because colleges face increased costs themselves for faculty salaries, campus infrastructure and operations, technology, administration, and more, according to Zach Bromley, a financial advisor at Broadway Graham Wealth Partners . "This gets passed on to families through higher sticker prices," Bromley says. "This trajectory is problematic, making college less accessible and affordable for many families. Students are taking on more debt to finance their educations." Student loan debtThe financial burden of repaying student loans can hinder borrowers' ability to save, invest, or purchase homes, says Andrew Latham, a CFP® professional. The stress associated with hefty debt can also adversely impact mental health. "On a broader spectrum, elevated levels of student loan debt can dampen consumer spending and delay financial independence, which has wider economic ramifications," Latham says. Besides tuition, other costs include textbooks, housing, and supplies. "The cost of textbooks has surged over the years, while housing expenses vary widely based on location, with both on-campus and off-campus housing presenting a significant cost," Latham says. "Furthermore, students incur additional expenses for supplies, lab fees, technology fees, and other miscellaneous costs, which can add up quickly. It's crucial for prospective students and their families to meticulously budget and explore all available financial aid and scholarship opportunities to alleviate the financial impact of these associated costs." Opportunity costWhile tuition costs have risen sharply and outpaced inflation in recent decades, the difference in earnings between workers with and those without college has also increased. The cost of a college degree is immediate. The benefits can take time to see and must be considered over a lifetime. Your career goalsGoing to college can be very expensive. And the return you get on that investment isn't guaranteed. It will depend greatly on the major you choose, your career goals, financial situation, and many other factors. There's plenty of financial aid available for most students, though it can be difficult to get a grasp of just how much that could offset your cost as you start researching schools you might want to attend. There are also options beyond the traditional college degree that can lead to a happy professional experience and a good income. Alternatives to collegeIf you decide against four-year college for any reason — even if temporarily — you have plenty of other options. Not everyone is ready for college right after high school. Gap year options may include working and traveling abroad, taking on an internship or apprenticeship, or volunteering, says Suzanne Shaffer, a college counselor. Community collegeCommunity college can be a smart financial decision, and it could be a good fit for an undecided high schooler who is unsure of what kind of higher education to pursue. It's also a great way to save on tuition if they decide to transfer after completing courses. Trade or technical schoolTrade and technical schools offer specific vocational training for a variety of skilled careers. Most require no more than two years of training. By 2030, The Manufacturing Institute and Deloitte found that manufacturers will need to fill 4 million jobs, 2.1 million of which could go unfilled if more people do not pursue modern manufacturing careers that require skilled work. Another option for young people is to spend time volunteering, which can help build character and learn the value of service. Many options are available through The Corporation for National & Community Service, The ACE Conservation Crew, and Global Routes. The military has diverse branches and areas of service and can be a good option for those who aren't sure if they want to go to college after high school. Benefits include a salary, room and board, and paid college tuition through the GI Bill if you decide you do want to go to college after your military service is complete. Still stuck? Maybe try reaching out to a career counselor. Career counseling is a process that can help you get to know and understand yourself and the world of work in order to make career, educational, and life decisions, according to Boise State University's career services office. A counselor isn't just about helping to decide on a major and a job. It's a lifelong process as you change, your situation changes and life takes you in unexpected directions. It's not worth going to college just to get any type of degree. Focus on degrees or skills in demand in the job market. Some alternatives to a traditional four-year college include community college, online programs, trade schools, and bootcamps. Whether or not college is still worth it depends on your career path and earning potential. Careful planning is key. ![finance diploma thesis finance diploma thesis](https://i.insider.com/618e849f0e5c2f00190676b9?crop=1:1&width=256&format=jpeg&auto=webp) Security Alert May 17, 2024Worldwide caution, update may 10, 2024, information for u.s. citizens in the middle east. - Travel Advisories |
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Note that many immigration-related forms are submitted to the Department of Homeland Security’s United States Citizenship and Immigration Services (USCIS), and not to the Department of State. If the type of information or form you are seeking is not shown here, select USCIS Forms and Fees to go to the USCIS Website to review more. Coming to the United States Temporarily - Nonimmigrant Visa ServicesNonimmigrant visa application processing fees are tiered, as shown below, based on the visa category for which you are applying. Notice: Every visa applicant must pay the visa application processing fee for the visa category being applied for, unless the application fee is not required, as listed below . Description of Service and Fee Amount (All fees = $ in US currency)Nonimmigrant visa application processing fee (non-refundable) for all categories below - Non-petition-based nonimmigrant visa (except E): $185.00
Includes (but not limited to), the following visa categories: B | Visitor Visa: Business, Tourism, Medical treatment | C-1 | Transiting the United States | D | Crewmembers - Airline, Ship | F | Student, Academic | I | Media and Journalists | J | Exchange Visitors *Applicants for J visas participating in official U.S. Government-sponsored educational and cultural exchanges: (See for further detailed fee information.) | M | Students, Vocational | TN/TD | NAFTA Professionals | S | Witness or Informant* | T | Victim of Trafficking in Persons* | U | Victim of Criminal Activity* | *Though petition-based nonimmigrant visas, the processing fee for these visas is $185.00 - Petition based visa categories: $205.00
Includes these visa categories: H | Temporary Workers/Employment or Trainees | L | Intracompany Transferees | O | Persons with Extraordinary Ability | P | Athletes. Artists & Entertainers | Q | International Cultural Exchange | R | Religious Worker | - E - Treaty Trader/Investor, Australian Professional Specialty category visa: $315.00
- K – Fiancé(e) or Spouse of U.S. citizen category visa: $265.00
Border crossing card fees- Border crossing card - age 15 and over (Valid 10 years): $185.00
- Border crossing card - under age 15; for Mexican citizens if parent or guardian has or is applying for a border crossing card (valid 10 years or until the applicant reaches age 15, whichever is sooner): $15.00
- L visa fraud prevention and detection fee - for visa applicant included in L blanket petition (principal applicant only): $500.00
- The Consolidated Appropriations Act of 2016 (Public Law 114-113) increases fees for certain H-1B and L-1 petitioners. Consular sections collect this fee for blanket L-1 visa applications (principal applicant only) filed by petitioners who employ 50 or more individuals in the United States if more than 50 percent of those individuals are in H-1B or L-1 nonimmigrant status: $4,500.00
When the nonimmigrant visa application processing fee is not required:- Applicants for A, G, C-2, C-3, NATO, and diplomatic visas (defined in 22 CFR 41.26): No Fee
- Applicants for J visas participating in official U.S. Government-sponsored educational and cultural exchanges: No Fee (See Exchange Visitor Visas for further detailed fee information.)
- Replacement of machine-readable visa when the original visa was not properly affixed or needs to be reissued through no fault of the applicant: No Fee
- Applicants exempted by international agreement as determined by Visa Services, including members and staff of an observer mission to United Nations Headquarters recognized by the UN General Assembly, and their immediate families: No Fee
- Applicants travelling to provide charitable services as determined by Visa Services: No Fee
- U.S. government employees travelling on official business: No Fee
- A parent, sibling, spouse or child of a U.S. government employee killed in the line of duty who is traveling to attend the employee’s funeral and/or burial; or a parent, sibling, spouse, son or daughter of a U.S. government employee critically injured in the line of duty for visitation during emergency treatment and convalescence: No Fee
Nonimmigrant visa issuance fee, including border-crossing cards.- See the Visa Reciprocity Tables to find out the visa issuance fee amount, if applicable: Fee varies (Reciprocal)
When the nonimmigrant visa issuance fee is not required:- An official representative of a foreign government or an international or regional organization of which the United States is a member; members and staff of an observer mission to United Nations Headquarters recognized by the UN General Assembly; and applicants for diplomatic visas as defined under item 22(a); and their immediate families: No Fee
- An applicant transiting to and from the United Nations Headquarters: No Fee
- An applicant participating in a U.S. government sponsored program which may include applicant’s dependent spouse and children: No Fee
- An applicant travelling to provide charitable services as determined by Visa Services: No Fee
Other - When a Visa is Not Required - Visa Waiver Program- Citizens of Visa Waiver Program participating countries, and meeting requirements pay a small fee. Select USCIS fees to learn more.
Coming to the United States Permanently - Immigrant ServicesImmigrant visa application processing fees are tiered, as shown below, based on the visa category you apply for. Notice: Every visa applicant must pay the visa application processing fee for the visa category being applied for. Filing an Immigrant Visa Petition (When collected by U.S. Embassies and Consulates for USCIS. Fees subject to change.) Immigrant petition for relative (I-130) | $675.00 | immediate relative petition (I-600, I-800) | $775.00 | Immigrant Visa Application Processing Fees (non-refundable, per person) (processed on the basis of an approved I-130, I-600 or I-800 petition) | $325.00 | (processed on the basis of an approved I-140 or I-526 petition) | $345.00 | (including approved I-360 self-petitioners, special immigrant visa applicants, returning resident (SB-1) applicants, and all others, except DV program selectees) | $205.00 | Certain Iraqi and Afghan special immigrant visa applications | No Fee | Diversity Visa Lottery fee (per person applying as a DV program selectee for a ) | | Affidavit of Support Review (only when reviewed domestically) | | Note: Forms and fee amounts are listed for immigration petitions which are submitted to Department of State, either accepted at a U.S. Embassy or Consulate abroad, or within the United States to the National Visa Center or Kentucky Consular Center. Other immigration related forms can only be approved by the Department of Homeland Security's United States Citizenship and Immigration Services (USCIS). For other fees (relating to forms starting with an "I" select USCIS Forms and Fees for additional information. Special Visa Services Application for Determining Returning Resident Status, | | Transportation letter for Legal Permanent Residents of the United States | | of two-year residency requirement, J Waiver, | | Application for Waiver of visa ineligibility, (Collected for USCIS and subject to change) | | Refugee or significant public benefit parole case processing | | Note: These fee charts are based on the Code of Federal Regulations - Title 22, Part 22, Sections 22.1 through 22.7.) More InformationA-Z Index Latest News What is a U.S. Visa? 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Links to external websites are provided as a convenience and should not be construed as an endorsement by the U.S. Department of State of the views or products contained therein. If you wish to remain on travel.state.gov, click the "cancel" message. You are about to visit: On the diffraction of constant shape random substitutionsThesis / Dissertation Defense Final Defense On the diffraction of constant shape random substitutions by Jim Ralphealo R. Mijares MS Mathematics Candidate Date: Thursday, 20 June 2024 Time: 4 pm Venue: Hybrid Advisers: Eden Delight P. Miro, PhD Ateneo de Manila University Luis S. Silvestre Jr., PhD Ateneo de Manila University Panelists: Philipp Gohlke, PhD (Critic Reader) Lund University Job A. Nable, PhD Ateneo de Manila University Timothy Robin Y. Teng, PhD Ateneo de Manila University In this study, we extend diffraction calculations made by Spindeler (2017) and Gohlke (2017) to a family of constant-shaped random substitutions of one and two dimensions. Specifically, we will consider a family of binary random substitutions defined by the rule ![finance diploma thesis abstract](https://www.ateneo.edu/sites/default/files/inline-images/Screenshot_121.png) sures. We show that it has a mixed spectral type consisting of a pure point part and an absolutely continuous part, using theory in Gohlke (2021). Moreover, we find an explicit formula for the pure point part, which determines the set of Bragg peaks, and an explicit formula for the absolutely continuous part. Key Words: diffraction, diffraction measure, random substitutions, symbolic dynamics Latest EventsThu, 20 Jun 2024 Live Event / Performance Sun, 23 Jun 2024 Workshop / Seminar / Short Course 13th Diploma in Applied Project ManagementMon, 24 Jun 2024 Mathematics Research Seminar Series: The Existence of Many Infinities as Proof of Mind-Independence of NumbersTue, 25 Jun 2024 Econ-tuhan Session 1 - Financial Literacy: Personal FinanceWed, 26 Jun 2024 Mathematics Research Seminar Series: Opportunities and Challenges in Mentoring Preservice Mathematics Teachers for ResearchModal title. ![finance diploma thesis Encyclopedia Britannica](https://cdn.britannica.com/mendel/eb-logo/MendelNewThistleLogo.png) - Games & Quizzes
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![finance diploma thesis Elektrostal](https://cdn.britannica.com/19/152119-004-4BFD4970/park-Elektrostal-Russia.jpg) ElektrostalOur editors will review what you’ve submitted and determine whether to revise the article. ![finance diploma thesis finance diploma thesis](https://cdn.britannica.com/19/152119-050-F4F3615C/park-Elektrostal-Russia.jpg?w=300) Elektrostal , city, Moscow oblast (province), western Russia . It lies 36 miles (58 km) east of Moscow city. The name, meaning “electric steel,” derives from the high-quality-steel industry established there soon after the October Revolution in 1917. During World War II , parts of the heavy-machine-building industry were relocated there from Ukraine, and Elektrostal is now a centre for the production of metallurgical equipment. Pop. (2006 est.) 146,189. A generative AI reset: Rewiring to turn potential into value in 2024It’s time for a generative AI (gen AI) reset. The initial enthusiasm and flurry of activity in 2023 is giving way to second thoughts and recalibrations as companies realize that capturing gen AI’s enormous potential value is harder than expected . With 2024 shaping up to be the year for gen AI to prove its value, companies should keep in mind the hard lessons learned with digital and AI transformations: competitive advantage comes from building organizational and technological capabilities to broadly innovate, deploy, and improve solutions at scale—in effect, rewiring the business for distributed digital and AI innovation. About QuantumBlack, AI by McKinseyQuantumBlack, McKinsey’s AI arm, helps companies transform using the power of technology, technical expertise, and industry experts. With thousands of practitioners at QuantumBlack (data engineers, data scientists, product managers, designers, and software engineers) and McKinsey (industry and domain experts), we are working to solve the world’s most important AI challenges. QuantumBlack Labs is our center of technology development and client innovation, which has been driving cutting-edge advancements and developments in AI through locations across the globe. Companies looking to score early wins with gen AI should move quickly. But those hoping that gen AI offers a shortcut past the tough—and necessary—organizational surgery are likely to meet with disappointing results. Launching pilots is (relatively) easy; getting pilots to scale and create meaningful value is hard because they require a broad set of changes to the way work actually gets done. Let’s briefly look at what this has meant for one Pacific region telecommunications company. The company hired a chief data and AI officer with a mandate to “enable the organization to create value with data and AI.” The chief data and AI officer worked with the business to develop the strategic vision and implement the road map for the use cases. After a scan of domains (that is, customer journeys or functions) and use case opportunities across the enterprise, leadership prioritized the home-servicing/maintenance domain to pilot and then scale as part of a larger sequencing of initiatives. They targeted, in particular, the development of a gen AI tool to help dispatchers and service operators better predict the types of calls and parts needed when servicing homes. Leadership put in place cross-functional product teams with shared objectives and incentives to build the gen AI tool. As part of an effort to upskill the entire enterprise to better work with data and gen AI tools, they also set up a data and AI academy, which the dispatchers and service operators enrolled in as part of their training. To provide the technology and data underpinnings for gen AI, the chief data and AI officer also selected a large language model (LLM) and cloud provider that could meet the needs of the domain as well as serve other parts of the enterprise. The chief data and AI officer also oversaw the implementation of a data architecture so that the clean and reliable data (including service histories and inventory databases) needed to build the gen AI tool could be delivered quickly and responsibly. ![finance diploma thesis Never just tech](https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/how%20we%20help%20clients/2024/never-just-tech_thumb_1536x1536.jpg?cq=50&mh=145&car=16:9&cpy=Center) Creating value beyond the hypeLet’s deliver on the promise of technology from strategy to scale. Our book Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI (Wiley, June 2023) provides a detailed manual on the six capabilities needed to deliver the kind of broad change that harnesses digital and AI technology. In this article, we will explore how to extend each of those capabilities to implement a successful gen AI program at scale. While recognizing that these are still early days and that there is much more to learn, our experience has shown that breaking open the gen AI opportunity requires companies to rewire how they work in the following ways. Figure out where gen AI copilots can give you a real competitive advantageThe broad excitement around gen AI and its relative ease of use has led to a burst of experimentation across organizations. Most of these initiatives, however, won’t generate a competitive advantage. One bank, for example, bought tens of thousands of GitHub Copilot licenses, but since it didn’t have a clear sense of how to work with the technology, progress was slow. Another unfocused effort we often see is when companies move to incorporate gen AI into their customer service capabilities. Customer service is a commodity capability, not part of the core business, for most companies. While gen AI might help with productivity in such cases, it won’t create a competitive advantage. To create competitive advantage, companies should first understand the difference between being a “taker” (a user of available tools, often via APIs and subscription services), a “shaper” (an integrator of available models with proprietary data), and a “maker” (a builder of LLMs). For now, the maker approach is too expensive for most companies, so the sweet spot for businesses is implementing a taker model for productivity improvements while building shaper applications for competitive advantage. Much of gen AI’s near-term value is closely tied to its ability to help people do their current jobs better. In this way, gen AI tools act as copilots that work side by side with an employee, creating an initial block of code that a developer can adapt, for example, or drafting a requisition order for a new part that a maintenance worker in the field can review and submit (see sidebar “Copilot examples across three generative AI archetypes”). This means companies should be focusing on where copilot technology can have the biggest impact on their priority programs. Copilot examples across three generative AI archetypes- “Taker” copilots help real estate customers sift through property options and find the most promising one, write code for a developer, and summarize investor transcripts.
- “Shaper” copilots provide recommendations to sales reps for upselling customers by connecting generative AI tools to customer relationship management systems, financial systems, and customer behavior histories; create virtual assistants to personalize treatments for patients; and recommend solutions for maintenance workers based on historical data.
- “Maker” copilots are foundation models that lab scientists at pharmaceutical companies can use to find and test new and better drugs more quickly.
Some industrial companies, for example, have identified maintenance as a critical domain for their business. Reviewing maintenance reports and spending time with workers on the front lines can help determine where a gen AI copilot could make a big difference, such as in identifying issues with equipment failures quickly and early on. A gen AI copilot can also help identify root causes of truck breakdowns and recommend resolutions much more quickly than usual, as well as act as an ongoing source for best practices or standard operating procedures. The challenge with copilots is figuring out how to generate revenue from increased productivity. In the case of customer service centers, for example, companies can stop recruiting new agents and use attrition to potentially achieve real financial gains. Defining the plans for how to generate revenue from the increased productivity up front, therefore, is crucial to capturing the value. ![finance diploma thesis Jessica Lamb and Gayatri Shenai](https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/how%20we%20help%20clients/2024/mckinsey_njt_live_1536x1536px.jpg?cq=50&mh=145&car=16:9&cpy=Center) McKinsey Live Event: Unlocking the full value of gen AIJoin our colleagues Jessica Lamb and Gayatri Shenai on April 8, as they discuss how companies can navigate the ever-changing world of gen AI. Upskill the talent you have but be clear about the gen-AI-specific skills you needBy now, most companies have a decent understanding of the technical gen AI skills they need, such as model fine-tuning, vector database administration, prompt engineering, and context engineering. In many cases, these are skills that you can train your existing workforce to develop. Those with existing AI and machine learning (ML) capabilities have a strong head start. Data engineers, for example, can learn multimodal processing and vector database management, MLOps (ML operations) engineers can extend their skills to LLMOps (LLM operations), and data scientists can develop prompt engineering, bias detection, and fine-tuning skills. A sample of new generative AI skills neededThe following are examples of new skills needed for the successful deployment of generative AI tools: - data scientist:
- prompt engineering
- in-context learning
- bias detection
- pattern identification
- reinforcement learning from human feedback
- hyperparameter/large language model fine-tuning; transfer learning
- data engineer:
- data wrangling and data warehousing
- data pipeline construction
- multimodal processing
- vector database management
The learning process can take two to three months to get to a decent level of competence because of the complexities in learning what various LLMs can and can’t do and how best to use them. The coders need to gain experience building software, testing, and validating answers, for example. It took one financial-services company three months to train its best data scientists to a high level of competence. While courses and documentation are available—many LLM providers have boot camps for developers—we have found that the most effective way to build capabilities at scale is through apprenticeship, training people to then train others, and building communities of practitioners. Rotating experts through teams to train others, scheduling regular sessions for people to share learnings, and hosting biweekly documentation review sessions are practices that have proven successful in building communities of practitioners (see sidebar “A sample of new generative AI skills needed”). It’s important to bear in mind that successful gen AI skills are about more than coding proficiency. Our experience in developing our own gen AI platform, Lilli , showed us that the best gen AI technical talent has design skills to uncover where to focus solutions, contextual understanding to ensure the most relevant and high-quality answers are generated, collaboration skills to work well with knowledge experts (to test and validate answers and develop an appropriate curation approach), strong forensic skills to figure out causes of breakdowns (is the issue the data, the interpretation of the user’s intent, the quality of metadata on embeddings, or something else?), and anticipation skills to conceive of and plan for possible outcomes and to put the right kind of tracking into their code. A pure coder who doesn’t intrinsically have these skills may not be as useful a team member. While current upskilling is largely based on a “learn on the job” approach, we see a rapid market emerging for people who have learned these skills over the past year. That skill growth is moving quickly. GitHub reported that developers were working on gen AI projects “in big numbers,” and that 65,000 public gen AI projects were created on its platform in 2023—a jump of almost 250 percent over the previous year. If your company is just starting its gen AI journey, you could consider hiring two or three senior engineers who have built a gen AI shaper product for their companies. This could greatly accelerate your efforts. Form a centralized team to establish standards that enable responsible scalingTo ensure that all parts of the business can scale gen AI capabilities, centralizing competencies is a natural first move. The critical focus for this central team will be to develop and put in place protocols and standards to support scale, ensuring that teams can access models while also minimizing risk and containing costs. The team’s work could include, for example, procuring models and prescribing ways to access them, developing standards for data readiness, setting up approved prompt libraries, and allocating resources. While developing Lilli, our team had its mind on scale when it created an open plug-in architecture and setting standards for how APIs should function and be built. They developed standardized tooling and infrastructure where teams could securely experiment and access a GPT LLM , a gateway with preapproved APIs that teams could access, and a self-serve developer portal. Our goal is that this approach, over time, can help shift “Lilli as a product” (that a handful of teams use to build specific solutions) to “Lilli as a platform” (that teams across the enterprise can access to build other products). For teams developing gen AI solutions, squad composition will be similar to AI teams but with data engineers and data scientists with gen AI experience and more contributors from risk management, compliance, and legal functions. The general idea of staffing squads with resources that are federated from the different expertise areas will not change, but the skill composition of a gen-AI-intensive squad will. Set up the technology architecture to scaleBuilding a gen AI model is often relatively straightforward, but making it fully operational at scale is a different matter entirely. We’ve seen engineers build a basic chatbot in a week, but releasing a stable, accurate, and compliant version that scales can take four months. That’s why, our experience shows, the actual model costs may be less than 10 to 15 percent of the total costs of the solution. Building for scale doesn’t mean building a new technology architecture. But it does mean focusing on a few core decisions that simplify and speed up processes without breaking the bank. Three such decisions stand out: - Focus on reusing your technology. Reusing code can increase the development speed of gen AI use cases by 30 to 50 percent. One good approach is simply creating a source for approved tools, code, and components. A financial-services company, for example, created a library of production-grade tools, which had been approved by both the security and legal teams, and made them available in a library for teams to use. More important is taking the time to identify and build those capabilities that are common across the most priority use cases. The same financial-services company, for example, identified three components that could be reused for more than 100 identified use cases. By building those first, they were able to generate a significant portion of the code base for all the identified use cases—essentially giving every application a big head start.
- Focus the architecture on enabling efficient connections between gen AI models and internal systems. For gen AI models to work effectively in the shaper archetype, they need access to a business’s data and applications. Advances in integration and orchestration frameworks have significantly reduced the effort required to make those connections. But laying out what those integrations are and how to enable them is critical to ensure these models work efficiently and to avoid the complexity that creates technical debt (the “tax” a company pays in terms of time and resources needed to redress existing technology issues). Chief information officers and chief technology officers can define reference architectures and integration standards for their organizations. Key elements should include a model hub, which contains trained and approved models that can be provisioned on demand; standard APIs that act as bridges connecting gen AI models to applications or data; and context management and caching, which speed up processing by providing models with relevant information from enterprise data sources.
- Build up your testing and quality assurance capabilities. Our own experience building Lilli taught us to prioritize testing over development. Our team invested in not only developing testing protocols for each stage of development but also aligning the entire team so that, for example, it was clear who specifically needed to sign off on each stage of the process. This slowed down initial development but sped up the overall delivery pace and quality by cutting back on errors and the time needed to fix mistakes.
Ensure data quality and focus on unstructured data to fuel your modelsThe ability of a business to generate and scale value from gen AI models will depend on how well it takes advantage of its own data. As with technology, targeted upgrades to existing data architecture are needed to maximize the future strategic benefits of gen AI: - Be targeted in ramping up your data quality and data augmentation efforts. While data quality has always been an important issue, the scale and scope of data that gen AI models can use—especially unstructured data—has made this issue much more consequential. For this reason, it’s critical to get the data foundations right, from clarifying decision rights to defining clear data processes to establishing taxonomies so models can access the data they need. The companies that do this well tie their data quality and augmentation efforts to the specific AI/gen AI application and use case—you don’t need this data foundation to extend to every corner of the enterprise. This could mean, for example, developing a new data repository for all equipment specifications and reported issues to better support maintenance copilot applications.
- Understand what value is locked into your unstructured data. Most organizations have traditionally focused their data efforts on structured data (values that can be organized in tables, such as prices and features). But the real value from LLMs comes from their ability to work with unstructured data (for example, PowerPoint slides, videos, and text). Companies can map out which unstructured data sources are most valuable and establish metadata tagging standards so models can process the data and teams can find what they need (tagging is particularly important to help companies remove data from models as well, if necessary). Be creative in thinking about data opportunities. Some companies, for example, are interviewing senior employees as they retire and feeding that captured institutional knowledge into an LLM to help improve their copilot performance.
- Optimize to lower costs at scale. There is often as much as a tenfold difference between what companies pay for data and what they could be paying if they optimized their data infrastructure and underlying costs. This issue often stems from companies scaling their proofs of concept without optimizing their data approach. Two costs generally stand out. One is storage costs arising from companies uploading terabytes of data into the cloud and wanting that data available 24/7. In practice, companies rarely need more than 10 percent of their data to have that level of availability, and accessing the rest over a 24- or 48-hour period is a much cheaper option. The other costs relate to computation with models that require on-call access to thousands of processors to run. This is especially the case when companies are building their own models (the maker archetype) but also when they are using pretrained models and running them with their own data and use cases (the shaper archetype). Companies could take a close look at how they can optimize computation costs on cloud platforms—for instance, putting some models in a queue to run when processors aren’t being used (such as when Americans go to bed and consumption of computing services like Netflix decreases) is a much cheaper option.
Build trust and reusability to drive adoption and scaleBecause many people have concerns about gen AI, the bar on explaining how these tools work is much higher than for most solutions. People who use the tools want to know how they work, not just what they do. So it’s important to invest extra time and money to build trust by ensuring model accuracy and making it easy to check answers. One insurance company, for example, created a gen AI tool to help manage claims. As part of the tool, it listed all the guardrails that had been put in place, and for each answer provided a link to the sentence or page of the relevant policy documents. The company also used an LLM to generate many variations of the same question to ensure answer consistency. These steps, among others, were critical to helping end users build trust in the tool. Part of the training for maintenance teams using a gen AI tool should be to help them understand the limitations of models and how best to get the right answers. That includes teaching workers strategies to get to the best answer as fast as possible by starting with broad questions then narrowing them down. This provides the model with more context, and it also helps remove any bias of the people who might think they know the answer already. Having model interfaces that look and feel the same as existing tools also helps users feel less pressured to learn something new each time a new application is introduced. Getting to scale means that businesses will need to stop building one-off solutions that are hard to use for other similar use cases. One global energy and materials company, for example, has established ease of reuse as a key requirement for all gen AI models, and has found in early iterations that 50 to 60 percent of its components can be reused. This means setting standards for developing gen AI assets (for example, prompts and context) that can be easily reused for other cases. While many of the risk issues relating to gen AI are evolutions of discussions that were already brewing—for instance, data privacy, security, bias risk, job displacement, and intellectual property protection—gen AI has greatly expanded that risk landscape. Just 21 percent of companies reporting AI adoption say they have established policies governing employees’ use of gen AI technologies. Similarly, a set of tests for AI/gen AI solutions should be established to demonstrate that data privacy, debiasing, and intellectual property protection are respected. Some organizations, in fact, are proposing to release models accompanied with documentation that details their performance characteristics. Documenting your decisions and rationales can be particularly helpful in conversations with regulators. In some ways, this article is premature—so much is changing that we’ll likely have a profoundly different understanding of gen AI and its capabilities in a year’s time. But the core truths of finding value and driving change will still apply. How well companies have learned those lessons may largely determine how successful they’ll be in capturing that value. ![finance diploma thesis Eric Lamarre](https://www.mckinsey.com/~/media/mckinsey/our people/eric lamarre/v2/eric-lamarre_201810_mckinsey_vancouver_7836_fc-mask_1536x1536.jpg?cq=50&mw=480&car=1:1&cpy=Center) The authors wish to thank Michael Chui, Juan Couto, Ben Ellencweig, Josh Gartner, Bryce Hall, Holger Harreis, Phil Hudelson, Suzana Iacob, Sid Kamath, Neerav Kingsland, Kitti Lakner, Robert Levin, Matej Macak, Lapo Mori, Alex Peluffo, Aldo Rosales, Erik Roth, Abdul Wahab Shaikh, and Stephen Xu for their contributions to this article. This article was edited by Barr Seitz, an editorial director in the New York office. Explore a career with usRelated articles. ![finance diploma thesis Light dots and lines evolve into a pattern of a human face and continue to stream off the the side in a moving grid pattern.](https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/the%20economic%20potential%20of%20generative%20ai%20the%20next%20productivity%20frontier/the-economic-potential-of-generative-ai-1324915617-thumb-1536x1536.jpg?cq=50&mw=767&car=16:9&cpy=Center) The economic potential of generative AI: The next productivity frontier![finance diploma thesis A yellow wire shaped into a butterfly](https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/rewired%20to%20outcompete/qweb-rewired-1536x1536.jpg?cq=50&mw=767&car=16:9&cpy=Center) Rewired to outcompete![finance diploma thesis A digital construction of a human face consisting of blocks](https://www.mckinsey.com/~/media/mckinsey/about%20us/mckinsey%20blog/meet%20lilli%20our%20generative%20ai%20tool/lilli-hero_1273006589_1536x864.jpg?cq=50&mw=767&car=16:9&cpy=Center) Meet Lilli, our generative AI tool that’s a researcher, a time saver, and an inspiration![finance diploma thesis DB-City](https://dwpt1kkww6vki.cloudfront.net/img/design/logo_db_city.png) - Bahasa Indonesia
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ElektrostalElektrostal Localisation : Country Russia , Oblast Moscow Oblast . Available Information : Geographical coordinates , Population, Altitude, Area, Weather and Hotel . Nearby cities and villages : Noginsk , Pavlovsky Posad and Staraya Kupavna . InformationFind all the information of Elektrostal or click on the section of your choice in the left menu. Elektrostal DemographyInformation on the people and the population of Elektrostal. Elektrostal Population | 157,409 inhabitants |
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Elektrostal Population Density | 3,179.3 /km² (8,234.4 /sq mi) |
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Elektrostal GeographyGeographic Information regarding City of Elektrostal . Elektrostal Geographical coordinates | Latitude: , Longitude: 55° 48′ 0″ North, 38° 27′ 0″ East |
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Elektrostal Area | 4,951 hectares 49.51 km² (19.12 sq mi) |
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Elektrostal Altitude | 164 m (538 ft) |
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Elektrostal Climate | Humid continental climate (Köppen climate classification: Dfb) |
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Elektrostal DistanceDistance (in kilometers) between Elektrostal and the biggest cities of Russia. Elektrostal MapLocate simply the city of Elektrostal through the card, map and satellite image of the city. Elektrostal Nearby cities and villagesElektrostal WeatherWeather forecast for the next coming days and current time of Elektrostal. Elektrostal Sunrise and sunsetFind below the times of sunrise and sunset calculated 7 days to Elektrostal. Day | Sunrise and sunset | Twilight | Nautical twilight | Astronomical twilight |
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8 June | 02:43 - 11:25 - 20:07 | 01:43 - 21:07 | 01:00 - 01:00 | 01:00 - 01:00 |
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9 June | 02:42 - 11:25 - 20:08 | 01:42 - 21:08 | 01:00 - 01:00 | 01:00 - 01:00 |
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10 June | 02:42 - 11:25 - 20:09 | 01:41 - 21:09 | 01:00 - 01:00 | 01:00 - 01:00 |
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11 June | 02:41 - 11:25 - 20:10 | 01:41 - 21:10 | 01:00 - 01:00 | 01:00 - 01:00 |
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12 June | 02:41 - 11:26 - 20:11 | 01:40 - 21:11 | 01:00 - 01:00 | 01:00 - 01:00 |
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13 June | 02:40 - 11:26 - 20:11 | 01:40 - 21:12 | 01:00 - 01:00 | 01:00 - 01:00 |
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14 June | 02:40 - 11:26 - 20:12 | 01:39 - 21:13 | 01:00 - 01:00 | 01:00 - 01:00 |
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Elektrostal HotelOur team has selected for you a list of hotel in Elektrostal classified by value for money. Book your hotel room at the best price. | Located next to Noginskoye Highway in Electrostal, Apelsin Hotel offers comfortable rooms with free Wi-Fi. Free parking is available. The elegant rooms are air conditioned and feature a flat-screen satellite TV and fridge... | from | | Located in the green area Yamskiye Woods, 5 km from Elektrostal city centre, this hotel features a sauna and a restaurant. It offers rooms with a kitchen... | from | | Ekotel Bogorodsk Hotel is located in a picturesque park near Chernogolovsky Pond. It features an indoor swimming pool and a wellness centre. Free Wi-Fi and private parking are provided... | from | | Surrounded by 420,000 m² of parkland and overlooking Kovershi Lake, this hotel outside Moscow offers spa and fitness facilities, and a private beach area with volleyball court and loungers... | from | | Surrounded by green parklands, this hotel in the Moscow region features 2 restaurants, a bowling alley with bar, and several spa and fitness facilities. Moscow Ring Road is 17 km away... | from | |
Elektrostal NearbyBelow is a list of activities and point of interest in Elektrostal and its surroundings. Elektrostal PageDirect link | |
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DB-City.com | Elektrostal /5 (2021-10-07 13:22:50) |
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Theses/Dissertations from 2014. PDF. Essays on Corporate Finance, Hari Prasad Adhikari. PDF. Two Essays on Individuals, Information, and Asset Prices, Joseph Mohr. PDF. Two Essays on Investment, Bin Wang. PDF. Two Essays on Corporate Finance, Qiancheng Zheng.
This page provides a comprehensive list of accounting and finance thesis topics designed to assist students in selecting an impactful subject for their thesis. Whether you are pursuing undergraduate, graduate, or postgraduate studies, the diverse array of topics presented here covers a broad spectrum of specialties within the field of accounting and finance.
Conclusion. Summarize the key points of your thesis, emphasizing the significance of your findings in the broader context of finance research. Revisit your thesis statement and demonstrate how your research has contributed to the understanding of the topic. Leave your readers with a lasting impression and a sense of closure.
If you're just starting out exploring potential research topics for your finance-related dissertation, thesis or research project, you've come to the right place. In this post, we'll help kickstart your research topic ideation process by providing a hearty list of finance-centric research topics and ideas. PS - This is just the start…
Essays in Banking and Corporate Finance Abstract This dissertation studies the role of different types of frictions in preventing optimal resource allocation in the economy. In chapter 1, I focus on financial frictions and consider the distorted incentives of banks to lend to zombie firms. I show that bank supervision, in
Your search for the best finance and banking dissertation topics ends right here because, a t ResearchProspect, we help students choose the most authentic and relevant topic for their dissertation projects. Bank taxes, financial management, financial trading, credit management, market analysis for private investors, economic research methods ...
Abstract. Chlupová, R. Analysis of financial performance of a selected enterprise. Brno. 2014 The main topic of the diploma thesis is the financial analysis of the chosen company. The first part consists of a theoretical basis of the issue involving these areas - region, business environment and economic analysis.
Step 3: Finalise the research methods to prove the significance of the selected topic. Step 4: Gather the required data from relevant sources. Step 5: Conduct the research and analyse the acquired results. Step 6: Work on the outline of your dissertation. Step 7: Make a draft and proofread it.
This dissertation consists of three essays on financial economics, specifically focusing on the role of government banks in the aggregate economy and in the role of capital utilization to determine leverage. The first essay shows the empirical relevance of state-owned banks nowadays and their implications for economic growth.
The main topic of the diploma thesis is the financial analysis of the chosen company. The first part consists of a theoretical basis of the issue involving these areas - region, business environment and economic analysis. The second part is focused on the practical implications with formation of the economic analysis of the chosen company ...
Theses from 2024. PDF. 2023 Community Bank Case Study Competition, Alivia Brewer. PDF. The Effects of Short-term Rentals on Communities and How to Legislate Them: An Expanded Literary Review, William Cherry. PDF. Accounting and Finance Internship Thesis, Peyton Fair. PDF. 2023 Community Bank Case Study Competition, Joseph Kelly.
This dissertation consists of three essays in financial economics, with a focus on household financial decisions and their implications for asset pricing and macroeconomic dynamics. In Chapter 1, I use data on the portfolio holdings and income of millions of US retirement investors to
Prize-Winning Thesis and Dissertation Examples. Published on September 9, 2022 by Tegan George.Revised on July 18, 2023. It can be difficult to know where to start when writing your thesis or dissertation.One way to come up with some ideas or maybe even combat writer's block is to check out previous work done by other students on a similar thesis or dissertation topic to yours.
International finance studies the dynamics in the areas such as international portfolio diversification, foreign investments, global financial systems, exchange rates, etc. This thesis brings together a set of chapters that summarises and synthesises varied areas of international finance maintaining a balance between the micro- and macro-level studies.
This is to certify that the thesis entitles "the effect of financial management practices on ... university or institutions for the award of any degree or diploma. Main Adviser‟s Name: Eshetu Yadecha (PhD candidate) Date_____ Signature _____ Co-advisor‟s Name: Tadele Tesfay (MSc) ...
Hu, Zhongchen (2021) Essays on household finance, venture capital, and labor. PhD thesis, London School of Economics and Political Science. Todorov, Karamfil (2020) Essays in financial economics. PhD thesis, London School of Economics and Political Science. Core, Fabrizio (2020) Essays on entrepreneurship.
The economics of alcohol abuse problems. In this thesis, students can develop several essential issues. First, they can examine how poverty is connected to alcohol abuse. Second, they can see the link between alcohol consumption and productivity. To sum up, students can elaborate on the economic costs of alcohol abuse.
The diploma thesis deals with the issue of financial performance of central banks. Central banking is generally considered as a profitable part of financial system. However, this paper focuses on the loss-making central banks and emphasizes the examples of central banks with large accumulated financial losses.
The aim of this diploma thesis is to compose a business plan for a foundation of a fitness café or a café specializing on a healthy life-style in Brno. Diploma thesis will be divided into 3 interwoven parts: a theoretical part, analytic part and proposal part. ... This thesis investigates financial integration, market efficiency, and ...
On Sunday, Daniel Schwartz, dean of Stanford's Graduate School of Education, handed Hislop her master's diploma with a broad smile, describing her as "a fierce advocate for equity and the ...
Bachelor's degree holders earn 31% more than those with an associate's degree and 84% more than those with just a high school diploma. Career advancement opportunities
In 1938, it was granted town status. [citation needed]Administrative and municipal status. Within the framework of administrative divisions, it is incorporated as Elektrostal City Under Oblast Jurisdiction—an administrative unit with the status equal to that of the districts. As a municipal division, Elektrostal City Under Oblast Jurisdiction is incorporated as Elektrostal Urban Okrug.
Note: Forms and fee amounts are listed for immigration petitions which are submitted to Department of State, either accepted at a U.S. Embassy or Consulate abroad, or within the United States to the National Visa Center or Kentucky Consular Center. Other immigration related forms can only be approved by the Department of Homeland Security's United States Citizenship and Immigration Services ...
Final Defense On the diffraction of constant shape random substitutions by Jim Ralphealo R. Mijares MS Mathematics Candidate Date: Thursday, 20 June 2024 Time: 4 pm Venue: Hybrid Advisers: Eden Delight P. Miro, PhD Ateneo de Manila University Luis S. Silvestre Jr., PhD Ateneo de Manila University
Elektrostal, city, Moscow oblast (province), western Russia.It lies 36 miles (58 km) east of Moscow city. The name, meaning "electric steel," derives from the high-quality-steel industry established there soon after the October Revolution in 1917. During World War II, parts of the heavy-machine-building industry were relocated there from Ukraine, and Elektrostal is now a centre for the ...
It's time for a generative AI (gen AI) reset. The initial enthusiasm and flurry of activity in 2023 is giving way to second thoughts and recalibrations as companies realize that capturing gen AI's enormous potential value is harder than expected.. With 2024 shaping up to be the year for gen AI to prove its value, companies should keep in mind the hard lessons learned with digital and AI ...
Elektrostal Geography. Geographic Information regarding City of Elektrostal. Elektrostal Geographical coordinates. Latitude: 55.8, Longitude: 38.45. 55° 48′ 0″ North, 38° 27′ 0″ East. Elektrostal Area. 4,951 hectares. 49.51 km² (19.12 sq mi) Elektrostal Altitude.
State Housing Inspectorate of the Moscow Region Elektrostal postal code 144009. See Google profile, Hours, Phone, Website and more for this business. 2.0 Cybo Score. Review on Cybo.