We present a multivariate stochastic volatility model with leverage, which is flexible
enough to recapture the individual dynamics as well as the interdependencies between
several assets while still being highly analytically tractable.
First we derive the characteristic function and give conditions that ensure its analyticity
and absolute integrability in some open complex strip around zero. Therefore we can use
Fourier methods to compute the prices of multi-asset options efficiently. To show the
applicability of our results, we propose a concrete specification, the OU-Wishart model,
where the dynamics of each individual asset coincide with the popular G-OU BNS model.
This model can be well calibrated to market prices, which we illustrate with an example
using options on the exchange rates of some major currencies. Finally, we show that
covariance swaps can also be priced in closed form.
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We present a multivariate stochastic volatility model with leverage, which is flexible
enough to recapture the individual dynamics as well as the interdependencies between
several assets while still being highly analytically tractable.
First we derive the characteristic function and give conditions that ensure its analyticity
and absolute integrability in some open complex strip around zero. Therefore we can use
Fourier methods to compute the prices of multi-asset options efficiently. To sh...
»