IMPLIED AND LOCAL VOLATILITIES UNDER STOCHASTIC VOLATILITY
- 1 February 2001
- journal article
- research article
- Published by World Scientific Pub Co Pte Ltd in International Journal of Theoretical and Applied Finance
- Vol. 04 (01) , 45-89
- https://doi.org/10.1142/s0219024901000870
Abstract
For asset prices that follow stochastic-volatility diffusions, we use asymptotic methods to investigate the behavior of the local volatilities and Black–Scholes volatilities implied by option prices, and to relate this behavior to the parameters of the stochastic volatility process. We also give applications, including risk-premium-based explanations of the biases in some naïve pricing and hedging schemes. We begin by reviewing option pricing under stochastic volatility and representing option prices and local volatilities in terms of expectations. In the case that fluctuations in price and volatility have zero correlation, the expectations formula shows that local volatility (like implied volatility) as a function of log-moneyness has the shape of a symmetric smile. In the case of non-zero correlation, we extend Sircar and Papanicolaou's asymptotic expansion of implied volatilities under slowly-varying stochastic volatility. An asymptotic expansion of local volatilities then verifies the rule of thumb that local volatility has the shape of a skew with roughly twice the slope of the implied volatility skew. Also we compare the slow-variation asymptotics against what we call small-variation asymptotics, and against Fouque, Papanicolaou, and Sircar's rapid-variation asymptotics. We apply the slow-variation asymptotics to approximate the biases of two naïve pricing strategies. These approximations shed some light on the signs and the relative magnitudes of the biases empirically observed in out-of-sample pricing tests of implied-volatility and local-volatility schemes. Similarly, we examine the biases of three different strategies for hedging under stochastic volatility, and we propose ways to implement these strategies without having to specify or estimate any particular stochastic volatility model. Our approximations suggest that a number of the empirical pricing and hedging biases may be explained by a positive premium for the portion of volatility risk that is uncorrelated with asset risk.Keywords
This publication has 30 references indexed in Scilit:
- Implied Volatility FunctionsThe Journal of Derivatives, 2000
- Stochastic volatility, smile & asymptoticsApplied Mathematical Finance, 1999
- The Risk Premium of Volatility Implicit in Currency OptionsJournal of Business & Economic Statistics, 1998
- Generalized Binomial TreesThe Journal of Derivatives, 1997
- Calibrating volatility surfaces via relative-entropy minimizationApplied Mathematical Finance, 1997
- OPTION HEDGING AND IMPLIED VOLATILITIES IN A STOCHASTIC VOLATILITY MODEL1Mathematical Finance, 1996
- Implied Trinomial Tress of the Volatility SmileThe Journal of Derivatives, 1996
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency OptionsThe Review of Financial Studies, 1993
- Option values under stochastic volatility: Theory and empirical estimatesJournal of Financial Economics, 1987
- Option Pricing when the Variance is ChangingJournal of Financial and Quantitative Analysis, 1987