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Regularity of affine processes on general state spaces

机译:一般状态空间上仿射过程的规律性

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We consider a stochastically continuous, affine Markov process in the sense?of Duffie, Filipovic and Schachermayer, with cadlag paths, on a general state?space D, i.e. an arbitrary Borel subset of $R^d$. We show that such a process is?always regular, meaning that its Fourier-Laplace transform is differentiable in?time, with derivatives that are continuous in the transform variable. As a?consequence, we show that generalized Riccati equations and Levy-Khintchine?parameters for the process can be derived, as in the case of $D = R_+^m imes?R^n$ studied in Duffie, Filipovic and Schachermayer (2003). Moreover, we show?that when the killing rate is zero, the affine process is a semi -martingale?with absolutely continuous characteristics up to its time of explosion. Our?results generalize the results of Keller-Ressel, Schachermayer and Teichmann?(2011) for the state space $R_+^m imes R^n$ and provide a new probabilistic?approach to regularity.
机译:我们考虑在一般状态空间D(即$ R ^ d $的任意Borel子集)上,具有Duffie,Filipovic和Schachermayer的意义上的随机连续,仿射马尔可夫过程,具有cadlag路径。我们证明了这样一个过程总是有规律的,这意味着它的傅里叶-拉普拉斯变换可以随时间微分,并且在变换变量中是连续的。结果,我们证明了可以导出该过程的广义Riccati方程和Levy-Khintchine?参数,例如在Duffie,Filipovic和Schachermayer中研究的$ D = R _ + ^ m times?R ^ n $的情况下(2003)。此外,我们证明“当杀伤率为零时,仿射过程是半-”,在爆炸发生之前具有绝对连续的特征。我们的结果推广了Keller-Ressel,Schachermayer和Teichmann?(2011)关于状态空间$ R _ + ^ m times R ^ n $的结果,并提供了一种新的关于规则性的概率方法。

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