Topic: Probability Weighting and Asset Prices: Evidence from Mergers and Acquisitions

Speaker: Wang Baolian  (Hong Kong University of Science and Technology)

Time: 14:30-16:00, Dec. 6 (Fri.),  2013

Venue: The 4th Conference Room, Lingnan Hall 

Language: English

 

Abstract

For mergers and acquisitions with a small failure probability, the average decline in target stock price if the deal fails is much larger than any increase that accompanies deal success. Probability weighting implies that the deal failure probability of such target stocks will be over-weighted, leading them to be undervalued. I test whether investors are averse to holding such stocks and find strong supporting evidence. Target stocks with lower ex-ante failure probability yield positive abnormal returns, but other targets do not generate significant abnormal returns. A trading strategy that buys target stocks with low ex-ante failure probability and sells short target stocks with high ex-ante failure probability delivers around 1% abnormal return per month. These abnormal returns are not subsumed by a preference for positive skewness under traditional (expected) utility models; in fact, target stocks with lower ex-ante failure probability have lower betas, lower volatilities, and lower downside risk. I also find that profits from the strategy are significantly higher when arbitrage is more difficult.

 

Speaker's Bio/UploadFiles/xsbg/2013/12/201312020924375199.pdf

Baolian Wang is a PhD candidate at the Department of Finance of Hong Kong University of Science and Technology (HKUST). His main research is on empirical asset pricing, investor behavior, and international finance. He is also interested in Chinese economy and econometrics. His articles have been presented or are scheduled for presentation for several major finance conferences, such as Miami Behavioral Finance conference, AFA, EFA and CICF.

 

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