Affine Processes on Positive Semidefinite Matrices

Christa Cuchiero, D. Filipović, E. Mayerhofer, J. Teichmann
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引用次数: 166

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.
正半定矩阵上的仿射过程
本文为正半定对称矩阵锥上的随机连续仿射过程提供了数学基础。这种分析的动机是在金融中越来越多地使用矩阵值仿射过程,包括具有随机波动率和相关结构的多资产期权定价,以及具有随机相关风险因素和违约强度的固定收益模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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