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Liquidity Considerations in Estimating Implied Volatility

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  • Rohini Grover
  • Susan Thomas

Abstract

Some option series in the market are far less liquid than others. Market illiquidity can reduce the informativeness of option prices. In this paper, we propose alternative schemes to estimate implied volatility while reducing the importance attached to illiquid options. Using data for index options traded at the National Stock Exchange in India, we and that the performance of a liquidity weighted scheme is superior to that of more conventional schemes such as the vega weights, the volatility elasticity weights and the traditional vxo. Liquidity weights offers the possibility of improved implied volatility estimation in situations where there is strong cross-sectional variation in option market liquidity.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Futures Markets.

Volume (Year): 32 (2012)
Issue (Month): 8 (08)
Pages: 714-741

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Handle: RePEc:wly:jfutmk:v:32:y:2012:i:8:p:714-741

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  1. Peter Hansen & Asger Lunde & James M. Nason, 2003. "Choosing the Best Volatility Models:The Model Confidence Set Approach," Working Papers 2003-05, Brown University, Department of Economics.
  2. 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.
  3. Menachem Brenner & Rafi Eldor & Shmuel Hauser, 1999. "The Price of Options Illiquidity," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-086, New York University, Leonard N. Stern School of Business-.
  4. Jackwerth, Jens Carsten & Rubinstein, Mark, 1996. " Recovering Probability Distributions from Option Prices," Journal of Finance, American Finance Association, vol. 51(5), pages 1611-32, December.
  5. Ralf Becker & Adam Clements, 2007. "Are combination forecasts of S&P 500 volatility statistically superior?," NCER Working Paper Series 17, National Centre for Econometric Research.
  6. Blair, Bevan J. & Poon, Ser-Huang & Taylor, Stephen J., 2001. "Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high-frequency index returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 5-26, November.
  7. Heynen, Ronald & Kemna, Angelien & Vorst, Ton, 1994. "Analysis of the Term Structure of Implied Volatilities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(01), pages 31-56, March.
  8. U. ´┐Żetin & R. Jarrow & P. Protter & M. Warachka, 2006. "Pricing Options in an Extended Black Scholes Economy with Illiquidity: Theory and Empirical Evidence," Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 493-529.
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Blog mentions

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    by Ajay Shah in Citizen Economists on 2011-05-20 17:20:24

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