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Tail behavior of stopped L\'evy processes with Markov modulation

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  • Brendan K. Beare
  • Won-Ki Seo
  • Alexis Akira Toda

Abstract

This article concerns the tail probabilities of a light-tailed Markov-modulated L\'evy process stopped at a state-dependent Poisson rate. The tails are shown to decay exponentially at rates given by the unique positive and negative roots of the spectral abscissa of a certain matrix-valued function. We illustrate the use of our results with an application to the stationary distribution of wealth in a simple economic model in which agents with constant absolute risk aversion are subject to random mortality and income fluctuation.

Suggested Citation

  • Brendan K. Beare & Won-Ki Seo & Alexis Akira Toda, 2020. "Tail behavior of stopped L\'evy processes with Markov modulation," Papers 2009.08010, arXiv.org.
  • Handle: RePEc:arx:papers:2009.08010
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    10. Kasa, Kenneth & Lei, Xiaowen, 2018. "Risk, uncertainty, and the dynamics of inequality," Journal of Monetary Economics, Elsevier, vol. 94(C), pages 60-78.
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    14. Toda, Alexis Akira, 2014. "Incomplete market dynamics and cross-sectional distributions," Journal of Economic Theory, Elsevier, vol. 154(C), pages 310-348.
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