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Exit times for a class of piecewise exponential Markov processes with two-sided jumps

机译:一类具有两侧跳跃的分段指数马尔可夫过程的退出时间

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摘要

We consider first passage times for piecewise exponential Markov processes that may be viewed as Ornstein-Uhlenbeck processes driven by compound Poisson processes. We allow for two-sided jumps and as a main result we derive the joint Laplace transform of the first passage time of a lower level and the resulting undershoot when passage happens as a consequence of a downward (negative) jump. The Laplace transform is determined using complex contour integrals and we illustrate how the choice of contours depends in a crucial manner on the particular form of the negative jump part, which is allowed to belong to a dense class of probabilities. We give extensions of the main result to two-sided exit problems where the negative jumps are as before but now it is also required that the positive jumps have a distribution of the same type. Further, extensions are given for the case where the driving Levy process is the sum of a compound Poisson process and an independent Brownian motion. Examples are used to illustrate the theoretical results and include the numerical evaluation of some concrete exit probabilities. Also, some of the examples show that for specific values of the model parameters it is possible to obtain closed form expressions for the Laplace transform, as is the case when residue calculus may be used for evaluating the relevant contour integrals. (C) 2007 Elsevier B.V. All rights reserved.
机译:我们考虑分段指数马尔可夫过程的首次通过时间,该过程可以看作是复合泊松过程驱动的Ornstein-Uhlenbeck过程。我们允许两侧跳跃,并且作为主要结果,我们得出较低水平的第一次通过时间的联合拉普拉斯变换以及当由于向下(负)跳跃而发生通过时产生的下冲。拉普拉斯变换是使用复杂的轮廓积分确定的,我们说明了轮廓的选择如何以关键方式取决于负跳变部分的特定形式,该形式可以归为密集的概率类别。我们将主要结果的扩展扩展到双向出口问题,其中负跳与以前一样,但现在还需要正跳具有相同类型的分布。此外,针对驱动征税过程是复合泊松过程和独立布朗运动之和的情况给出了扩展。实例用于说明理论结果,并包括一些混凝土出口概率的数值评估。而且,一些示例表明,对于模型参数的特定值,有可能获得拉普拉斯变换的闭式表达式,就像残差演算可用于评估相关轮廓积分的情况一样。 (C)2007 Elsevier B.V.保留所有权利。

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