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Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns


Turan G. Bali


Georgetown University - Robert Emmett McDonough School of Business

Nusret Cakici


Fordham University - Graduate School of Business

Robert Whitelaw


New York University; National Bureau of Economic Research (NBER)

February 1, 2009

NYU Working Paper No. FIN-08-025

Abstract:     
Motivated by existing evidence of a preference among investors for assets with lottery-like payoffs and that many investors are poorly diversified, we investigate the significance of extreme positive returns in the cross-sectional pricing of stocks. Portfolio-level analyses and firm-level cross-sectional regressions indicate a negative and significant relation between the maximum daily return over the past one month (MAX) and expected stock returns. Average raw and risk-adjusted return differences between stocks in the lowest and highest MAX deciles exceed 1% per month. These results are robust to controls for size, book-to-market, momentum, short-term reversals, liquidity, and skewness. Of particular interest, including MAX generally subsumes or reverses the puzzling negative relation between returns and idiosyncratic volatility recently documented in Ang et al. (2006, 2008).

Number of Pages in PDF File: 44

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Date posted: March 9, 2009 ; Last revised: February 27, 2012

Suggested Citation

Bali, Turan G., Cakici, Nusret and Whitelaw, Robert F., Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns (February 1, 2009). NYU Working Paper No. FIN-08-025. Available at SSRN: http://ssrn.com/abstract=1354512

Contact Information

Turan G. Bali
Georgetown University - Robert Emmett McDonough School of Business ( email )
3700 O Street, NW
Washington, DC 20057
United States
(202) 687-5388 (Phone)
(202) 687-4031 (Fax)
HOME PAGE: http://faculty.msb.edu/tgb27/index.html

Nusret Cakici
Fordham University - Graduate School of Business ( email )
Robert F. Whitelaw (Contact Author)
New York University ( email )
Stern School of Business
44 West 4th Street
New York, NY 10012-1126
United States
212-998-0338 (Phone)
212-995-4233 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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