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Geneviève Gauthier

Title: Joint dynamics for the underlying asset and its implied volatility surface: A new methodology for option risk management

Date: Friday, March 10th, 2023
Time: 1:30PM (PDT)
Location: ASB 10900

Abstract:

This paper develops a dynamic joint model of the implied volatility (IV) surface and its underlying asset, impervious to arbitrage and quick to estimate. It combines an asymptotically well-behaved, parametric IV surface representation with a two-component variance, and non-Gaussian asymmetric GARCH specification for the underlying asset returns. Estimated on S\&P 500 index return and option data for the 1996-2021 period, the model captures the IV surface movements well and uses them to obtain an improved fit on index returns. It also proves to be an effective risk management tool, producing reliable Value-at-Risk estimates for straddle and strangle positions, and accurate forecasts of the VIX distribution.  

Pascal François (Department of Finance, HEC Montréal)
Rémi Galarneau-Vincent (BDC)
Genevieve Gauthier (Département of Decision Sciences, HEC Montréal)
Frédéric Godin (Department of Mathematics and Statistics, Concordia University)

The paper is available at 

papers.ssrn.com

 

based on a previous paper

papers.ssrn.com