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First passage of a Markov additive process and generalized Jordan chains

Author

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  • D'Auria, Bernardo
  • Kella, Offer
  • Ivanovs, Jevgenijs
  • Mandjes, Michel

Abstract

In this paper we consider the first passage process of a spectrally negative Markov additive process (MAP). The law of this process is uniquely characterized by a certain matrix function, which plays a crucial role in fluctuation theory. We show how to identify this matrix using the theory of Jordan chains associated with analytic matrix functions. This result provides us with a technique, which can be used to derive various further identities.

Suggested Citation

  • D'Auria, Bernardo & Kella, Offer & Ivanovs, Jevgenijs & Mandjes, Michel, 2010. "First passage of a Markov additive process and generalized Jordan chains," DES - Working Papers. Statistics and Econometrics. WS ws103923, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:ws103923
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    Cited by:

    1. Avram, F. & Badescu, A.L. & Pistorius, M.R. & Rabehasaina, L., 2016. "On a class of dependent Sparre Andersen risk models and a bailout application," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 27-39.
    2. D’Auria, Bernardo & Kella, Offer, 2012. "Markov modulation of a two-sided reflected Brownian motion with application to fluid queues," Stochastic Processes and their Applications, Elsevier, vol. 122(4), pages 1566-1581.
    3. Ivanovs, Jevgenijs, 2013. "A note on killing with applications in risk theory," Insurance: Mathematics and Economics, Elsevier, vol. 52(1), pages 29-34.
    4. Ivanovs, Jevgenijs, 2017. "Splitting and time reversal for Markov additive processes," Stochastic Processes and their Applications, Elsevier, vol. 127(8), pages 2699-2724.
    5. Hansjörg Albrecher & Jevgenijs Ivanovs, 2013. "A Risk Model with an Observer in a Markov Environment," Risks, MDPI, vol. 1(3), pages 1-14, November.
    6. Landriault, David & Shi, Tianxiang, 2015. "Occupation times in the MAP risk model," Insurance: Mathematics and Economics, Elsevier, vol. 60(C), pages 75-82.
    7. Bladt, Mogens & Ivanovs, Jevgenijs, 2021. "Fluctuation theory for one-sided Lévy processes with a matrix-exponential time horizon," Stochastic Processes and their Applications, Elsevier, vol. 142(C), pages 105-123.
    8. Li, Jingchao & Dickson, David C.M. & Li, Shuanming, 2015. "Some ruin problems for the MAP risk model," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 1-8.
    9. Feng, Runhuan & Shimizu, Yasutaka, 2014. "Potential measures for spectrally negative Markov additive processes with applications in ruin theory," Insurance: Mathematics and Economics, Elsevier, vol. 59(C), pages 11-26.
    10. D'Auria, Bernardo & Kella, Offer, 2011. "Two-sided reflected Markov-modulated Brownian motion with applications to fluid queues and dividend payouts," DES - Working Papers. Statistics and Econometrics. WS ws111107, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Jevgenijs Ivanovs, 2021. "On scale functions for Lévy processes with negative phase-type jumps," Queueing Systems: Theory and Applications, Springer, vol. 98(1), pages 3-19, June.
    12. Przemysław Klusik & Zbigniew Palmowski, 2014. "A Note on Wiener–Hopf Factorization for Markov Additive Processes," Journal of Theoretical Probability, Springer, vol. 27(1), pages 202-219, March.
    13. Li, Shuanming & Ren, Jiandong, 2013. "The maximum severity of ruin in a perturbed risk process with Markovian arrivals," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 993-998.

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    Keywords

    Fluctuation theory;

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