The Volatility Effect: Recent Evidence from Indian Markets
- 1 Durgadevi Saraf Institute of Management Studies (DSIMS), Mumbai, India
- 2 School of Business Management, NMIMS University, Mumbai, India
Abstract
We provide evidence of the volatility effect from the Indian markets using the universe of past and present constituents of Nifty 500 index of National Stock Exchange (NSE). The results show that the portfolio consisting of low volatility stocks outperforms the portfolio consists of high volatility stocks and the market portfolio both in absolute and risk-adjusted terms. Further, we report that the volatility effect is a distinct effect. Size, value and momentum factors cannot explain the outperformance of low-volatility stocks. The risk anomaly is robust to the choice of risk measure; however, the volatility effect is stronger than the beta effect and it implies that both systematic risk and idiosyncratic risks contribute to the risk anomaly. The low-volatility portfolio has significant exposure to growth stocks, and it differs from the value tilt observed for low-volatility portfolios in developed markets.
- Markowitz, H. (1952) Portfolio Selection. The Journal of Finance, 7, 77-91. https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
- Sharpe, W. (1964) Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. The Journal of Finance, 19, 425-442. https://doi.org/10.1111/j.1540-6261.1964.tb02865.x
- Scherer, B. (2011) A Note on the Returns from Minimum Variance Investing. Journal of Empirical Finance, 18, 652-660. https://doi.org/10.1016/j.jempfin.2011.06.001
- Chow, T., Hsu, J.C., Kuo, L. and Li, F. (2014) A Study of Low-Volatility Portfolio Construction Methods. The Journal of Portfolio Management, 40, 89-105. https://doi.org/10.3905/jpm.2014.40.4.089
- Poullaouec, T. (2010) Things to Consider When Investing in Minimum Volatility Strategies. State Street Global Advisors Asset Allocation Research.
- Black, F. (1972) Capital Market Equilibrium with Restricted Borrowing. The Journal of Business, 4, 444-455. https://doi.org/10.1086/295472
- Fama, E.F. and French, K. (1992) The Cross-Section of Expected Stock Returns. The Journal of Finance, 47, 424-465. https://doi.org/10.1111/j.1540-6261.1992.tb04398.x
- Haugen, R.A. and Heins, A.J. (1975) Risk and the Rate of Return on Financial Assets: Some Old Wine in New Bottles. The Journal of Financial and Quantitative Analysis, 10, 775-784. https://doi.org/10.2307/2330270
- Haugen, R.A. and Baker, N.L. (1991) The Efficient Market Inefficiency of Capitalization-Weighted Stock Portfolios. The Journal of Portfolio Management, 17, 35-40. https://doi.org/10.3905/jpm.1991.409335
- Haugen, R.A. and Baker, N.L. (1996) Commonality in the Determinants of Expected Returns. Journal of Financial Economics, 41, 401-439. https://doi.org/10.1016/0304-405X(95)00868-F
- Clarke, R., Desilva, H. and Thorley, S. (2006) Minimum-Varinance Portfolio in the U.S. Equity Market. The Journal of Portfolio Management, 33, 10-24. https://doi.org/10.3905/jpm.2006.661366
- Blitz, D.C. and Vliet, P.V. (2007) The Volatility Effect. The Journal of Portfolio Management, 34, 102-113. https://doi.org/10.3905/jpm.2007.698039
- Ang, A., Hodrick, R.J., Xing, Y.H. and Zhang, X.Y. (2006) The Cross Section of Volatility and Expected Return. The Journal of Finance, 61, 259-299. https://doi.org/10.1111/j.1540-6261.2006.00836.x
- Ang, A., Hodrick, R.J., Xing, Y.H. and Zhang, X.Y. (2009) High Idiosyncratic Volalility and Low Returns: International and Further U.S. Evidence. Journal of Financial Economics, 91, 1-23. https://doi.org/10.1016/j.jfineco.2007.12.005