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Behavioral Finance Economics 437.

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Presentation on theme: "Behavioral Finance Economics 437."— Presentation transcript:

1 Behavioral Finance Economics 437

2 Course Information 11-12: Tues, Wed, Thurs Two mid terms
I-Clickers - required Exam Schedule Two mid terms February 20, 1028 March 27, 2018 Final May 3: 2PM Office Hours 11-12: Tues, Wed, Thurs Monroe 262

3 Course Information Four Books Andre Shleifer – “Inefficient Markets”
Daniel Kahneman – “Thinking: Fast and Slow (should have already read) Edwin Burton – Sunit Shah – “Behavioral Finance” Michael Lewis – The Undoing Project Online Reading at Toolkit Reading is difficult I-Clickers - required Lectures, usually power point

4 Course Topics Review of MPT & EMH Limits to Arbitrage Anomalies
Serial Correlation in Stock Returns

5 Immediate Reading (today, Jan 18)
Malkiel (online) Shiller (online) Shleifer (book, Ch 1) Fama (online)

6 Reading (starting Jan 25) “Noise Trading” – Limits to Arbitrage
Black on Toolkit Shliefer on Toolkit (or Chapter 2 in book) Burton & Shah, pp 1-51

7 The Efficient Market Hypothesis (EMH)
Price captures all relevant information Modern version based upon “No Arbitrage” assumption Why do we care? Implications Only new information effects prices Publicly known information has no value Investors should “index” Allocation efficiency

8 The Milton Friedman argument for market efficiency in the presence of “noise traders”
If noise traders are truly “random,” then their effects will “cancel out.” (Kind of a law of large numbers result) Noise traders are “systematic,” then arbitrage traders will “trade against them” and take all of their money Thus prices will be efficient in either case

9 But, then October 19, 1987 1992, Article by Eugene Fama and Ken French
The Tech Bubble The Rise of Hedge Funds

10 1987 - The “Rip Van Winkle” Year
2700 2300 2200 2200 2200 1700 Jan July October Dec

11 Fama and French Both authors are staunch supporters of EMH
1992 Article gave a simple formula to pick stocks that “beat the market” consistently This lead “respectability” to a growing literature that simple formulae could “beat the market”

12 The Tech Bubble 1999 Nasdaq up 100 percent for the year Priceline:
Came public at 20, rose to 200, fell to under 1 No news of substance Nasdaq peaked at 5000 in March 2000 Fell to 1800 by 2002

13 The End


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