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Behavioral Finance

Behavioral Finance. Economics 437. Scheduling Issues. Next two weeks, Prof Burton is not traveling Grading review (of 2 nd mid-term): Monroe Basement, 3:30 – 6:30 on Tuesday, April 22nd. Earnings or Price? Momentum. Earning Earnings or Price? “Under-reaction” Ball-Brown

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Behavioral Finance

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  1. Behavioral Finance Economics 437

  2. Scheduling Issues • Next two weeks, Prof Burton is not traveling • Grading review (of 2nd mid-term): Monroe Basement, 3:30 – 6:30 on Tuesday, April 22nd

  3. Earnings or Price? Momentum • Earning Earnings or Price? • “Under-reaction” • Ball-Brown • Price Earnings or Price? • Jegadeesh-Titman

  4. Ball & Brown 1986 • Market “underreacts” to earnings surprises • Article generally ignored until Jagdeesh-Titman • Time span suggests that Ball-Brown effect may be the same thing as Jagdeesh-Titman

  5. Jegadeesh and Titman (1993) • Relative strength strategies, sometimes called “Earnings or Price?” strategies • Find past winners and and past losers (using 3 to 12 month holding periods) generate gains (winners gain; losers lose) • Construct W portfolio and L portfolio • W-L (using 6 month periods) earns more than 12 % better than market portfolio • Longer term portfolios do best in next 12 months • Interpretation in “event time” • Doesn’t work in January

  6. Chan, Jegadeesh, Lakonishok 1996 • Is it earnings? Is it price? • They 7.7 percent six month gap between winner portfolios and loser portfolios using price momentum. • Conclusion (page 1709): “ In general, the price momentum effect tends to be stronger and longer-lived than the earnings momentum effect.”

  7. Chordia-Shivakumar, 2006 • Is it “pricing momentum” or “earnings momentum” that drives the “under-reaction” phenomenon? • Conclude the earnings momentum is the key factor. • Price momentum variables are a “noisy proxy” for earnings momentum

  8. Haugen-Baker, 1996 • Great summary of the literature • A Grand Synthesis • Use multi-factor model to create a “generalized” value portfolio • Incorporate J-T effects • 20 percent outperformance for H-B synthesis • Data used from five countries: France, Germany, Japan, UK, US

  9. Hanna-Ready, 2005 • Dispute H-B results due to monthly turnover (40 percent) in HB rebalancing (causes high transaction costs) • Conclude that six month rebalancing of F-F portfolios is best • Most of H-B results come from J-T. J-T results fall if transaction costs considered • Cannot explain why F-F does so well

  10. What about January? • Total returns over decades come mostly in January • F-F, D-T, J-T results all peculiar in January • Two January effects • The above impact • January as a predictor of the yearly results

  11. The End

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