Predictable Dynamics in the S&P 500 Index Options Implied Volatility Surface

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Predictable Dynamics in the S&P 500 Index Options Implied Volatility Surface

Author Info

Sílvia Gonçalves (Department of Economics, CIREQ and CIRANO, Université de Montréal)
Massimo Guidolin (Federal Reserve Bank of St. Louis)

Additional information is available for the following registered author(s):

Massimo Guidolin

Abstract

Recent evidence suggests that the parameters characterizing the implied volatility surface (IVS) in option prices are unstable. We study whether the resulting predictability patterns may be exploited. In a first stage we model the surface along cross-sectional moneyness and maturity dimensions. In a second stage we model the dynamics of the first-stage coefficients. We find that the movements of the S&P 500 IVS are highly predictable. Whereas profitable delta-hedged positions can be set up under selective trading rules, profits disappear when we increase transaction costs and trade on wide segments of the IVS.

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Publisher Info
Article provided by University of Chicago Press in its journal Journal of Business.

Volume (Year): 79 (2006)
Issue (Month): 3 (May)
Pages: 1591-1636
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Handle: RePEc:ucp:jnlbus:v:79:y:2006:i:3:p:1591-1636

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Paper
- Silvia Goncalves & Massimo Guidolin, 2005. "Predictable dynamics in the S&P 500 index options implied volatility surface," Working Papers 2005-010, Federal Reserve Bank of St. Louis. [Downloadable!]

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-78, December. [Downloadable!] (restricted)
Other versions:
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Garcia, Rene & Luger, Richard & Renault, Eric, 2003. "Empirical assessment of an intertemporal option pricing model with latent variables," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 49-83. [Downloadable!] (restricted)
Other versions:
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Other versions:
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Other versions:
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Other versions:
- Guidolin, Massimo & Timmermann, Allan G, 2001. "Option Prices under Bayesian Learning: Implied Volatility Dynamics and Predictive Densities," CEPR Discussion Papers 3005, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
- Allan Timmermann & Massimo Guidolin, 2001. "Option Prices under Bayesian Learning: Implied Volatility Dynamics and Predictive Densities," FMG Discussion Papers dp397, Financial Markets Group. [Downloadable!] (restricted)

Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

Francesco Audrino & Dominik Colagelo, 2007. "Forecasting Implied Volatility Surfaces," University of St. Gallen Department of Economics working paper series 2007 2007-42, Department of Economics, University of St. Gallen. [Downloadable!]

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