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arXiv 0910.0137math.PRq-fin.CP
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正半定矩阵上的仿射过程

Affine processes on positive semidefinite matrices

Christa Cuchiero, Damir Filipović, Eberhard Mayerhofer, Josef Teichmann

摘要:

本文给出了半正定对称矩阵锥上随机连续仿射过程的数学基础。这种分析的动机是大量和越来越多地使用矩阵值仿射过程在金融,包括多资产期权定价与随机波动率和相关结构,以及固定收益模型与随机相关的风险因素和违约强度。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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