"Lec 23 - The Mutual Fund Theorem and Covariance Pricing Theorems" Financial Theory (ECON 251) This lecture continues the analysis of the Capital Asset Pricing Model, building up to two key results. One, the Mutual Fund Theorem proved by Tobin, describes the optimal portfolios for agents in the economy. It turns out that every investor should try to maximize the Sharpe ratio of his portfolio, and this is achieved by a combination of money in the bank and money invested in the "market" basket of all existing assets. The market basket can be thought of as one giant index fund or mutual fund. This theorem precisely defines optimal diversification. It led to the extraordinary growth of mutual funds like Vanguard. The second key result of CAPM is called the covariance pricing theorem because it shows that the price of an asset should be its discounted expected payoff less a multiple of its covariance with the market. The riskiness of an asset is therefore measured by its covariance with the market, rather than by its variance. We conclude with the shocking answer to a puzzle posed during the first class, about the relative valuations of a large industrial firm and a risky pharmaceutical start-up. 00:00 - Chapter 1. The Mutual Fund Theorem 03:47 - Chapter 2. Covariance Pricing Theorem and Diversification 25:19 - Chapter 3. Deriving Elements of the Capital Asset Pricing Model 40:25 - Chapter 4. Mutual Fund Theorem in Math and Its Significance 52:36 - Chapter 5. The Sharpe Ratio and Independent Risks 01:04:19 - Chapter 6. Price Dependence on Covariance, Not Variance Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses This course was recorded in Fall 2009.

Video is embedded from external source so embedding is not available.

Video is embedded from external source so download is not available.

Channels: Finance

Tags: Lec 23 - The Mutual Fund Theorem and Covariance Pricing Theorems

Uploaded by: yalefinancialth ( Send Message ) on 12-09-2012.

Duration: 76m 5s

No content is added to this lecture.

This video is a part of a lecture series from of Yale