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Abstract

In this paper we develop a novel market model where asset variances-covariances evolve stochastically. In addition shocks on asset return dynamics are assumed to be linearly correlated with shocks driving the variance-covariance matrix. Analytical tractability is preserved since the model is linear-affine and the conditional characteristic function can be determined explicitly. Quite remarkably, the model provides prices for vanilla options consistent with observed smile and skew effects, while making it possible to detect and quantify the correlation risk in multiple-asset derivatives like basket options. In particular, it can reproduce and quantify the asymmetric conditional correlations observed on historical data for equity markets. As an illustrative example, we provide explicit pricing formulas for rainbow "Best-of" options. [PUBLICATION ABSTRACT]

Details

Title
Option pricing when correlations are stochastic: an analytical framework
Author
Fonseca, José Da; Grasselli, Martino; Tebaldi, Claudio
Pages
151-180
Publication year
2007
Publication date
May 2007
Publisher
Springer Nature B.V.
ISSN
13806645
e-ISSN
15737144
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
208735317
Copyright
Springer Science+Business Media, LLC 2008