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 matrixvalued 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. © Institute of Mathematical Statistics, 2011.
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Cuchiero, C., Filipović, D., Mayerhofer, E., & Teichmann, J. (2011). Affine processes on positive semidefinite matrices. Annals of Applied Probability, 21(2), 397–463. https://doi.org/10.1214/10-AAP710
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