Abstract
Stochastic volatility models such as those of Heston (1993)~\cite{Heston100} and Hull and White (1987) ~\cite{Hull101} are often used to model volatility risk in the pricing and hedging of contingent claims on risky assets. Some recent empirical evidence has shown that these models under general specifications often do not fully capture the volatility dynamics observed \emph{in situ}. This paper provides an analytical demonstration of the consequences of multivariate stochastic covariation on the pricing of contingent claims and suggests a hedging strategy for full \emph{delta} neutrality.
Original language | English |
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Pages (from-to) | 125-134 |
Number of pages | 14 |
Journal | Quantitative Finance |
Volume | 11 |
Issue number | 1 |
Early online date | 7 May 2010 |
DOIs | |
Publication status | Published - 1 Jan 2011 |
Keywords
- stochastic volatility
- multivariate
- quadratic covariation
- applied mathematical finance
- asset pricing
- empirical finance
- empirical time series analysis