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The Joint Cross Section of Stocks and Options


Andrew Ang


Columbia Business School - Finance and Economics; National Bureau of Economic Research (NBER)

Turan G. Bali


Georgetown University - Robert Emmett McDonough School of Business

Nusret Cakici


Fordham University - Graduate School of Business

February 18, 2012

Georgetown McDonough School of Business Research Paper No. 2012-10

Abstract:     
Option volatilities have significant predictive power for the cross section of stock returns and vice versa. Stocks with large increases in call implied volatilities tend to rise over the following month and increases in put implied volatilities forecast future decreases in next-month stock returns. The spread in average returns and alphas between the first and fifth quintile portfolios formed by ranking on lagged changes in implied call volatilities is approximately 1% per month. Going in the other direction, stocks with high returns over the past month tend to have call option contracts that exhibit increases in implied volatility over the next month, but realized volatility for those stocks tends to decrease.

Number of Pages in PDF File: 59

Keywords: implied volatility, risk premiums, predictability, short-term momentum

JEL Classification: G10, G11, C13

working papers series


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Date posted: February 22, 2012 ; Last revised: November 1, 2012

Suggested Citation

Ang, Andrew, Bali, Turan G. and Cakici, Nusret, The Joint Cross Section of Stocks and Options (February 18, 2012). Georgetown McDonough School of Business Research Paper No. 2012-10. Available at SSRN: http://ssrn.com/abstract=2008902 or http://dx.doi.org/10.2139/ssrn.2008902

Contact Information

Andrew Ang
Columbia Business School - Finance and Economics ( email )
3022 Broadway
New York, NY 10027
United States

National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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

Nusret Cakici
Fordham University - Graduate School of Business ( email )
Feedback to SSRN (Beta)


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