- 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
Lecture 19 - Overview of Investment Banking
Professor Shiller characterizes investment banking by contrasting it to consulting, commercial banking, and securities trading. Then, in order to see the essence of investment banking, he reviews some of the principles that John Whitehead, the former chairman of Goldman Sachs, has formulated. These principles are the basis for a discussion of the substantial power that investment bankers have, and their role in society.
Government regulation of these powerful investment banks has been a thorny issue for many years, and especially so now since they played a significant role in world financial crisis of the 2000s.
1. Key Elements of Investment Banking
2. Principles and Culture of Investment Banking
3. Regulation of Investment Banking
4. Shadow Banking and the Repo Market
5. Founger: From ECON 252 to Wall Street
6. Fougner: Steps to Take Today to Work on Wall Street
7. Fougner: From Wall Street to Silicon Valley, Experiences at Facebook
8. Fougner: Question and Answer Session
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.
