Lecture 20 - Professional Money Managers and Their Influence

Professor Shiller argues that institutional investors are fundamentally important to our economy and our society. Following his thoughts about societal changes in a modern and capitalist world, he turns his attention to the fiduciary duties of investment managers. He emphasizes the "prudent person rule," and critically reflects on the limitations that these rules impose on investment managers.

Elaborating on different forms of institutional money management, he covers mutual funds, contrasting the legislative environments in the U.S. and Europe, and trusts. In the treatment of the next form, pension funds, he starts out with the history of pension funds in the late 19th and the first half of the 20th century, and subsequently presents the legislative framework for pension funds before he outlines the differences of defined benefit and defined contribution plans.

Professor Shiller finishes the list of forms of institutional money management with endowments, focusing on investment mistakes in endowment management, as well as family offices and family foundations.

1. Assets and Liabilities of U.S. Households and Nonprofit Organizations
2. Human Capital and Modern Societal Changes
3. The Fiduciary Duty of Investment Managers
4. Financial Advisors, Financial Planners, and Mortgage Brokers
5. Comparison of Mutual Funds between the U.S. and Europe
6. Trusts - Providing the Opportunity to Care for Your Children
7. Pension Funds and Defined Contribution Plans
8. History of Endowment Investing
9. Family Offices and Family Foundations

Data Science in Finance: 9-Book Bundle

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Data Science in Finance: 9-Book Bundle

Data Science in Finance 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 comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.