Stock Price Information Content, Idiosyncratic Volatility and Expected Return

Meimei Liang

School of Finance, Shanghai University of Finance and Economics, Shanghai, China.

DOI: 10.4236/jmf.2015.54034                

Abstract

How idiosyncratic risks are priced in capital asset is always concerned in the financial sector. This paper theoretically analyzes the impact of idiosyncratic volatility on the expected return from the perspective of stock price’s information content, and use Chinese A-share market data, from 1994 to 2013, to do the empirical test. It finds that, if other conditions remain unchanged, when the degree of stock price information content is low, idiosyncratic volatility and expected return are negatively correlated; when the degree of stock price information content is rich, idiosyncratic volatility and expected return are positively correlated. After taking the impact of different regression methods and time spans into consideration, the conclusions are still valid, which indicates that the conclusions are robust. The reason for the above phenomenon is that idiosyncratic volatility is mainly driven by noise or information, which has different impacts on expected return.

Keywords

Stock Information, Idiosyncratic Volatility, Expected Return, Asset Pricing

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Miller, E.M. (1977) Risk, Uncertainty, and Divergence of Opinion. Journal of Finance, 32, 1151-1168. http://dx.doi.org/10.1111/j.1540-6261.1977.tb03317.x
[2]	Rajgopal, S. and Venkatachalam, M. (2011) Financial Reporting Quality and Idiosyncratic Return Volatility. Journal of Accounting and Economics, 51, 1-20. http://dx.doi.org/10.1016/j.jacceco.2010.06.001
[3]	Merton, R.C. (1987) Presidential Address: A Simple Model of Capital Market Equilibrium with Incomplete Information. Journal of Finance, 42, 483-510. http://dx.doi.org/10.1111/j.1540-6261.1987.tb04565.x
[4]	Boehme, R.D., Danielsen, B.R. and Kumar, P. (2009) Idiosyncratic Risk and the Cross-Section of Stock Returns: Merton (1987) Meets Miller (1977). Journal of Financial Markets, 12, 438-468. http://dx.doi.org/10.1016/j.finmar.2009.01.004
[5]	Ang, A., Hodrick, R., Xing, Y. and Zhang, X. (2006) The Cross-Section of Volatility and Expected Returns. Journal of Finance, 61, 259-299. http://dx.doi.org/10.1111/j.1540-6261.2006.00836.x
[6]	Ang, A., Hodrick, R., Xing, Y. and Zhang, X. (2009) High Idiosyncratic Volatility and Low Returns: International and Further U.S. Evidence. Journal of Finance Economics, 91, 1-23.
[7]	Fu, F. (2009) Idiosyncratic Risk and the Cross-Section of Expected Stock Returns. Journal of Financial Economics, 91, 24-37. http://dx.doi.org/10.1016/j.jfineco.2008.02.003
[8]	Bali, T.G. and Cakici, N. (2008) Idiosyncratic Volatility and the Cross Section of Expected Returns. Journal of Financial and Quantitative Analysis, 43, 29-58.
[9]	Jiang, G.J., Xu, D. and Yao, T. (2009) The Information Content of Idiosyncratic Volatility. Journal of Financial and Quantitative Analysis, 44, 1-28. http://dx.doi.org/10.1017/S0022109009090073
[10]	Huang, W., Liu, Q., Rhee, S.G. and Zhang, L. (2010) Return Reversals, Idiosyncratic Risk and Expected Returns. Review of Financial Studies, 23, 147-168. http://dx.doi.org/10.1093/rfs/hhp015
[11]	Lee, D.W. and Liu, M.H. (2011) Does More Information in Stock Price Lead to Greater or Smaller Idiosyncratic Return Volatility. Journal of Banking and Finance, 35, 1563-1580.
[12]	Amihud, Y. (2002) Illiquidity and Stock Returns: Cross-Section and Time-Series Effects. Journal of Financial Markets, 5, 31-56. http://dx.doi.org/10.1016/S1386-4181(01)00024-6
[13]	Zhang, Y.R. and Li, X.Y. (2010) R2 and Stock Price Information. Journal of Management Science, 13, 17-28.