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The forecasting performance of implied volatility index: evidence from India VIX

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  • Imlak Shaikh

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  • Puja Padhi

    ()

Abstract

In this paper, we investigate the forecasting performance of ex-post an ex-ante volatility forecasts against realized return volatility of various time horizon. The competing volatility forecasts are implied volatility, RiskMetrics and GJR-GARCH; the empirical results uncover that implied volatility dominates the other volatility forecast in the prediction of future realized return volatility. The in-sample forecast suggests that ex-ante volatility best explains the future market volatility. The non-overlapping sampling procedure gives the more robust estimate of volatility forecasts, the results reveals that implied volatility forecasts of all horizon appears positive unbiased forecaster of realized volatility. Moreover, the instrumental variable estimation in the presence of error-in-variable clears that implied volatility is free from measurement error; OLS estimates remains more consistent than the 2SLS estimates. The information content of implied volatility encourages the exchanges to construct the implied volatility indices and volatility products on underlying volatility index. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Imlak Shaikh & Puja Padhi, 2014. "The forecasting performance of implied volatility index: evidence from India VIX," Economic Change and Restructuring, Springer, vol. 47(4), pages 251-274, November.
  • Handle: RePEc:kap:ecopln:v:47:y:2014:i:4:p:251-274
    DOI: 10.1007/s10644-014-9149-z
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    1. Evangelia Papapetrou, 2013. "Oil prices and economic activity in Greece," Economic Change and Restructuring, Springer, vol. 46(4), pages 385-397, November.
    2. Federico M. Bandi & Benoit Perron, 2006. "Long Memory and the Relation Between Implied and Realized Volatility," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(4), pages 636-670.
    3. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    4. S. Muzzioli, 2010. "Option-based forecasts of volatility: an empirical study in the DAX-index options market," The European Journal of Finance, Taylor & Francis Journals, vol. 16(6), pages 561-586.
    5. Xu, Xinzhong & Taylor, Stephen J., 1995. "Conditional volatility and the informational efficiency of the PHLX currency options market," Journal of Banking & Finance, Elsevier, vol. 19(5), pages 803-821, August.
    6. Bent Jesper Christensen & Charlotte Strunk Hansen, 2002. "New evidence on the implied-realized volatility relation," The European Journal of Finance, Taylor & Francis Journals, vol. 8(2), pages 187-205, June.
    7. Holger Claessen & Stefan Mittnik, 2002. "Forecasting stock market volatility and the informational efficiency of the DAX-index options market," The European Journal of Finance, Taylor & Francis Journals, vol. 8(3), pages 302-321.
    8. Jinghong Shu & Jin E. Zhang, 2012. "Causality in the VIX futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(1), pages 24-46, January.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Kanas, Angelos, 2012. "Modelling the risk–return relation for the S&P 100: The role of VIX," Economic Modelling, Elsevier, vol. 29(3), pages 795-809.
    11. Sophocles Brissimis & George Hondroyiannis & Christos Papazoglou & Nicholas Tsaveas & Melina Vasardani, 2012. "Current account determinants and external sustainability in periods of structural change," Economic Change and Restructuring, Springer, vol. 45(1), pages 71-95, February.
    12. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    13. Bart Frijns & Christian Tallau & Alireza Tourani‐Rad, 2010. "The information content of implied volatility: Evidence from Australia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(2), pages 134-155, February.
    14. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    15. Konstantinidi, Eirini & Skiadopoulos, George, 2011. "Are VIX futures prices predictable? An empirical investigation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 543-560.
    16. James Kozyra & Camillo Lento, 2011. "Using VIX data to enhance technical trading signals," Applied Economics Letters, Taylor & Francis Journals, vol. 18(14), pages 1367-1370.
    17. Franck Moraux & Patrick Navatte & Christophe Villa, 1999. "The Predictive Power of the French Market Volatility Index: A Multi Horizons Study," Review of Finance, European Finance Association, vol. 2(3), pages 303-320.
    18. Konstantinidi, Eirini & Skiadopoulos, George & Tzagkaraki, Emilia, 2008. "Can the evolution of implied volatility be forecasted? Evidence from European and US implied volatility indices," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2401-2411, November.
    19. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    20. Jozef Barunik & Michaela Barunikova, 2012. "Revisiting the fractional cointegrating dynamics of implied-realized volatility relation with wavelet band spectrum regression," Papers 1208.4831, arXiv.org, revised Feb 2013.
    21. Silvia Muzzioli, 2007. "The relation between implied and realised volatility: are call options more informative than put options? Evidence from the DAX index options market," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 07101, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    22. Bart Frijns & Alireza Tourani-Rad & Yajie Zhang, 2008. "The New Zealand implied volatility index," New Zealand Economic Papers, Taylor & Francis Journals, vol. 42(1), pages 103-125.
    23. Charlotte Strunk Hansen, 2001. "The relation between implied and realised volatility in the Danish option and equity markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 41(3), pages 197-228.
    24. Christensen, B. J. & Prabhala, N. R., 1998. "The relation between implied and realized volatility," Journal of Financial Economics, Elsevier, vol. 50(2), pages 125-150, November.
    25. Steven Li & Qianqian Yang, 2009. "The relationship between implied and realized volatility: evidence from the Australian stock index option market," Review of Quantitative Finance and Accounting, Springer, vol. 32(4), pages 405-419, May.
    26. Christensen, Bent Jesper & Nielsen, Morten Orregaard, 2006. "Asymptotic normality of narrow-band least squares in the stationary fractional cointegration model and volatility forecasting," Journal of Econometrics, Elsevier, vol. 133(1), pages 343-371, July.
    27. Roland Füss, 2005. "Financial Liberalization and Stock Price Behaviour in Asian Emerging Markets," Economic Change and Restructuring, Springer, vol. 38(1), pages 37-62, March.
    28. P. Swamy & Stephen Hall, 2012. "Measurement of causal effects," Economic Change and Restructuring, Springer, vol. 45(1), pages 3-23, February.
    29. Chiras, Donald P. & Manaster, Steven, 1978. "The information content of option prices and a test of market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 213-234.
    30. Silvia Muzzioli, 2013. "The Forecasting Performance of Corridor Implied Volatility in the Italian Market," Computational Economics, Springer;Society for Computational Economics, vol. 41(3), pages 359-386, March.
    31. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Keywords

    Information content; Ex-ante and ex-post volatility; IVIX; India VIX; RiskMetrics; Measurement error; 2SLS; C53; G14;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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