6. Efficient Markets vs. Excess Volatility

Financial Markets (ECON 252) Several theories in finance relate to stock price analysis and prediction. The efficient markets hypothesis states that stock prices for publicly-traded companies reflect all available information. Prices adjust to new information instantaneously, so it is impossible to "beat the market." Furthermore, the random walk theory asserts that changes in stock prices arise only from unanticipated new information, and so it is impossible to predict the direction of stock prices. Using statistical tools, we can attempt to test the hypotheses and to predict future stock prices. These tests show that efficient markets theory is a half-truth: it is difficult but not impossible for some people to beat the market. 00:00 - Chapter 1. Last Thoughts on Insurance and Catastrophe Bonds 06:28 - Chapter 2. Information Access and the Efficient Markets Hypothesis 20:00 - Chapter 3. Varying Degrees of Efficient Markets and No Dividends: The Case of First Federal Financial 41:44 - Chapter 4. The Random Walk Theory 51:30 - Chapter 5. The First Order Auto-regressive Model 56:59 - Chapter 6. Challenges in Forecasting the Market Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses This course was recorded in Spring 2008.

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Tags: AR-1  efficient  markets  hypothesis  first  order  auto-regressive  model  random  walk  theory  stock  market  prices  volatility  

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