Abstract
This article provides the mathematical foundation for stochastically continuous affine processes on the cone of positive semidefinite symmetric matrices. This analysis has been motivated by a large and growing use of matrix-valued affine processes in finance, including multi-asset option pricing with stochastic volatility and correlation structures, and fixed-income models with stochastically correlated risk factors and default intensities.
Citation
Christa Cuchiero. Damir Filipović. Eberhard Mayerhofer. Josef Teichmann. "Affine processes on positive semidefinite matrices." Ann. Appl. Probab. 21 (2) 397 - 463, April 2011. https://doi.org/10.1214/10-AAP710
Information