- Technology and Invention in Finance
- Financial Markets: Course Introduction
- Risk and Financial Crises
- Portfolio Diversification and Supporting Financial Institutions
- Insurance, the Archetypal Risk Management Institution
- Barron's Criticism, Determinants of Investment Return
- Lecture 7 - Efficient Markets
- Lecture 8 - Theory of Debt, Its Proper Role, Leverage Cycles
- Lecture 9 - Corporate Stocks
- Lecture 10 - Real Estate Finance
- Lecture 11 - Behavioral Finance
- Lecture 12 - Misbehavior, Crises, Regulation and Self Regulation
- Lecture 13 - Overview of Banks
- Lecture 14 - A Brief History of AIG with Maurice "Hank" Greenberg
- Lecture 15 - Forward and Futures Markets
- Lecture 16 - Banking and Regulations in China with Laura Cha
- Lecture 17 - Options Markets
- Lecture 18 - Monetary Policy
- Lecture 19 - Overview of Investment Banking
- Lecture 20 - Professional Money Managers and Their Influence
- Lecture 21 - Exchanges, Brokers, Dealers, Clearinghouses
Financial Markets: Course Introduction
Professor Shiller provides a description of the course, including its general theme, the relevant textbooks, as well as the interplay of his course with Professor Geanakoplos's course "Economics 251--Financial Theory." Finance, in his view, is a pillar of civilized society, dealing with the allocation of resources through space and time in order to manage big and important risks.
After talking about finance as an occupation, he emphasizes the moral imperative to use wealth for the purposes of philanthropy, in the spirit of Andrew Carnegie, but also of Bill Gates and Warren Buffett. Finally, he concludes with a description of the topics to be discussed in each lecture.
Data Science in Finance: 9-Book Bundle
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- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
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