- 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
Portfolio Diversification and Supporting Financial Institutions
In this lecture, Professor Shiller introduces mean-variance portfolio analysis, as originally outlined by Harry Markowitz, and the capital asset pricing model (CAPM) that has been the cornerstone of modern financial theory. Professor Shiller commences with the history of the first publicly traded company, The United East India Company, founded in 1602.
Incorporating also the more recent history of stock markets all over the world, he elaborates on the puzzling size of the equity premium. very high historical return of stock market investments. After introducing the notion of an Efficient Portfolio Frontier, he covers the concept of the Tangency Portfolio, which leads him to the Mutual Fund Theorem. Finally, the consideration of equilibrium in the stock market leads him to the Capital Asset Pricing Model, which emphasizes market risk as the determinant of a stock's return.
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $29 (Regular $57)Free Guides - Getting Started with R and Python
Enter your name and email address below and we will email you the guides for R programming and Python.
