An Analysis of Volatility Spread via the Risk-Free Rate Proxy

40 Pages Posted: 25 Feb 2014 Last revised: 12 Mar 2015

See all articles by Lin-Yee Hin

Lin-Yee Hin

Department of Mathematics & Statistics, Curtin University

Nikolai Dokuchaev

Zhejiang University/University of Illinois at Urbana-Champaign Institute

Date Written: March 12, 2015

Abstract

The paper studies estimation of implied volatility and the impact of the choice of the corresponding risk-free rate proxy. We suggest to analyze the implied volatility and the risk-free rate proxy inferred in conjunction from the observed option prices. We formulate and solve an overdefined system of nonlinear equations for the Black-Scholes model using options data. More precisely, we seek an optimal approximate solution via differential evolution, a stochastic optimization technique. Some experiments with historical prices reveals higher inferred risk-free rate than commonly used proxies. This leads to narrower volatility spread, or the difference between implied and realized volatilities.

Keywords: implied volatility, optimization, risk-free rate

JEL Classification: C14, C51, C58, C61, G13

Suggested Citation

Hin, Lin-Yee and Dokuchaev, Nikolai, An Analysis of Volatility Spread via the Risk-Free Rate Proxy (March 12, 2015). Available at SSRN: https://ssrn.com/abstract=2400872 or http://dx.doi.org/10.2139/ssrn.2400872

Lin-Yee Hin (Contact Author)

Department of Mathematics & Statistics, Curtin University ( email )

Kent Street
Bentley
Perth
Australia

HOME PAGE: http://hk.linkedin.com/in/linyeehin

Nikolai Dokuchaev

Zhejiang University/University of Illinois at Urbana-Champaign Institute ( email )

Haining
Zhejiang
China

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