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Dynamic Conditional Beta is Alive and Well in the Cross-Section of Daily Stock Returns


Turan G. Bali


Georgetown University - Robert Emmett McDonough School of Business

Robert F. Engle


New York University - Leonard N. Stern School of Business - Department of Economics; National Bureau of Economic Research (NBER); New York University (NYU) - Department of Finance

Yi Tang


Fordham University - School of Business

October 8, 2012


Abstract:     
This paper investigates the significance of dynamic conditional beta in predicting the cross-sectional variation in expected stock returns. The results indicate that the time-varying conditional beta is alive and well in the cross-section of daily stock returns. Portfolio-level analyses and firm-level cross-sectional regressions indicate a positive and significant relation between dynamic conditional beta and future returns on individual stocks. An investment strategy that goes long stocks in the highest conditional beta decile and shorts stocks in the lowest conditional beta decile produces average returns and alphas of 8% per annum. These results are robust to controls for size, book-to-market, momentum, short-term reversal, liquidity, co-skewness, idiosyncratic volatility, and preference for lottery-like assets.

Number of Pages in PDF File: 71

Keywords: Dynamic conditional beta, conditional CAPM, ICAPM, expected stock returns

JEL Classification: G10, G11, C13

working papers series


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Date posted: June 23, 2012 ; Last revised: October 8, 2012

Suggested Citation

Bali, Turan G., Engle, Robert F. and Tang, Yi, Dynamic Conditional Beta is Alive and Well in the Cross-Section of Daily Stock Returns (October 8, 2012). Available at SSRN: http://ssrn.com/abstract=2089636 or http://dx.doi.org/10.2139/ssrn.2089636

Contact Information

Turan G. Bali (Contact Author)
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

Robert F. Engle
New York University - Leonard N. Stern School of Business - Department of Economics ( email )
269 Mercer Street
New York, NY 10003
United States
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
New York University (NYU) - Department of Finance
Stern School of Business
44 West 4th Street
New York, NY 10012-1126
United States
Yi Tang
Fordham University - School of Business ( email )
113 West 60th Street
Bronx, NY 10458
United States

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