Is Fear (VIX) a Priced Factor in Multi Factor Asset Price Modeling?

Authors

  •   Santosh Kumar Assistant Professor, Faculty of Management Studies, Amity University, Uttar Pradesh, and *Fellow Program (PhD) Scholar, National Institute of Industrial Engineering (NITIE), Mumbai - 400 087
  •   K. V. S. S. Narayana Rao Professor, National Institute of Industrial Engineering (NITIE), Mumbai - 400 087

DOI:

https://doi.org/10.17010/ijf/2014/v8i2/71978

Keywords:

Fear (VIX)

, Size, P/B, Asset Pricing Model, Factor Return, SMB, HML

G11

, G12, G17

Paper Submission Date

, November 6, 2013, Paper sent back for Revision, December 17, Paper Acceptance Date, January 2, 2014.

Abstract

This study examines the effect of volatility measure VIX in the Fama and French model augmented by Durand et al. (2011) in the Indian stock market. It also tries to investigate the pricing effects and dynamic interaction of the volatility factor (VIX or market anxiety) vis. a vis. other priced factors of Fama and French (1993) by using regression methods, Granger causality test, vector auto regression method, and impulse response function method. Results indicate that the impact of risk/volatility (RVIX) is negative and consistent on almost all the portfolios, which is in congruence with the findings of Durand et al. (2011), Giot (2005), and Whaley (2000, 2008). The shocks of fear are found to be persistent for two to three consecutive months, and this is consistent with the findings of Whaley (2000, 2008). Thus, the results strongly advocate for the inclusion of change of VIX as a priced factor in the asset pricing models in India as well.

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Published

2014-02-01

How to Cite

Kumar, S., & Narayana Rao, K. V. S. S. (2014). Is Fear (VIX) a Priced Factor in Multi Factor Asset Price Modeling?. Indian Journal of Finance, 8(2), 26–36. https://doi.org/10.17010/ijf/2014/v8i2/71978

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References

Abel, A.B. (1988). Stock prices under time varying dividend risk : An exact solution in an infinite horizon general equilibrium model. Journal of Monetary Economics, 22 (3), 375-393.

Ang, A., Hodrick, R.J., Xing, Y., & Zhang, X., (2006) .The cross-section of volatility and expected returns. Journal of Finance, 61 (1) , 259 - 299. DOI: 10.1111/j.1540-6261.2006.00836.x

Bali, T. G., Cakici N., Yan, X., & Zhang, Z. (2005). Does idiosyncratic risk really matter? Journal of Finance, 60 (2), 905-929. DOI: 10.1111/j.1540-6261.2005.00750.x

Bali, T. G., & Cakici, N., (2008). Idiosyncratic volatility and the cross-section of expected returns? Journal of Financial and Quantitative Analysis, 43 (1), 29 - 58.

Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52 (1), 57-82. DOI: 10.1111/j.1540-6261.1997.tb03808.x

Cipollini, A. P. L., & Manzini, A., (2007). Can the VIX signal market's direction? An asymmetric dynamic strategy. SSRN, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=996384

Daniel, K., & Titman, S. (1997). Evidence on the characteristics of cross sectional variation in stock returns. Journal of Finance, 52 (1), 1-33. DOI: 10.1111/j.1540-6261.1997.tb03806.x

Durand, R. B., Lim, D., Zumwalt, J.K. (2011). Fear and Fama French factors. Financial Management, 40 (2), 409-426. DOI: 10.1111/j.1755-053X.2011.01147.x

French, K. R., Schwert, G. W., & Stambaugh, R. F. (1987). Expected stock returns and volatility. Journal of Financial Economics, 19 (1), 3-29.

Fama, E. F., & French, K.R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33 (1), 3-56. DOI : http://dx.doi.org/10.1016/0304-405X(93)90023-5

Fu, F. (2009). Idiosyncratic risk and the cross section of expected stock returns. Journal of Financial Economics, 91(1), 24-37.

Granger, C.W.J. (1969). Investigating causal relations by econometric models and cross spectral methods. Econometrica, 37 (3), 424-438.

Goyal, A., & Santa-Clara, P. (2003). Idiosyncratic risk matters! Journal of Finance, 58 (3), 975-1008. DOI: 10.1111/1540-6261.00555

Giot, P. (2005). Relationships between implied volatility indices and stock index returns. The Journal of Portfolio Management, 31(3), 92-100. DOI:10.3905/jpm.2005.500363

Lintner, J. (1965). The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. The Review of Economics and Statistics, 47(1), 13-37.

Massa, M., Goetzmann, W. N., & Simonov, A. (2004). Portfolio diversification, proximity investment and city agglomeration. CEPR Discussion Paper No. 4786. SSRN, Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=66796 1

Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. Journal of Finance, 42(3), 483 - 510. DOI: 10.1111/j.1540-6261.1987.tb04565.x

Malkiel, B. G., & Xu, Y., (2002). Idiosyncratic risk and security returns. (Unpublished paper). Dalls, University of Texas. Retrieved from http://www.utdallas.edu/~yexiaoxu/IVOT_H.PDF

Ross, S. A. (1976). The arbitrage theory of capital asset pricing. Journal of Economic Theory, 13 (3), 341-360.

Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of Finance, 19 (3), 425-442. DOI: 10.1111/j.1540-6261.1964.tb02865.x

Spiegel, M., & Wang, X., (2005). Cross-sectional variation in stock returns: liquidity and idiosyncratic risk. Yale YCF Working Paper, 05-13.

Whaley, R. E. (1993). Derivatives on market volatility: Hedging tools long overdue. The Journal of Derivatives, 1(1), 71-84, DOI:10.3905/jod.1993.407868.

Whaley, R. E. (2000). The investor fear gauge. The Journal of Portfolio Management, 26 (3), 12 - 17. DOI: 10.3905/jpm.2000.319728

Whaley, R.E., (2008). Understanding the VIX. SSRN. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1296743