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Wiener–Hopf Factorization for Time-Inhomogeneous Markov Chains and its Application

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Języki publikacji
EN
Abstrakty
EN
We derive the Wiener–Hopf factorization for a finite-state timeinhomogeneous Markov chain. Considered as the first step in the direction of theWiener–Hopf factorization for time-inhomogeneous Markov chains, this work deals only with a special, but important class of time-inhomogeneous Markovian generators, namely piecewise constant generators, which allows us to use an appropriately tailored randomization technique.
Rocznik
Strony
225--244
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
  • Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL 60616, USA
  • Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL 60616, USA
autor
  • Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL 60616, USA
autor
  • Constellation, an Exelon company, Baltimore, MD 21231, USA
Bibliografia
  • [AW06] J. Abate and W. Whitt, A unified framework for numerically inverting Laplace transforms, INFORMS J. Computing 18 (2006), 408-421.
  • [Asm95] S. Asmussen, Stationary distributions for fluid flow models with or without Brownian noise, Comm. Statist. Stochastic Models 11 (1995), 21-49.
  • [APU03] F. Avram, M. R. Pistorius, and M. Usabel, The two barriers ruin problem via a Wiener-Hopf decomposition approach, An. Univ. Craiova Ser. Mat. Inform. 30 (2003), 38-44.
  • [BRW80] M. T. Barlow, L. C. G. Rogers, and D. Williams, Wiener-Hopf factorization for matrices, Séminaire de probabilités de Strasbourg 14 (1980), 324-331.
  • [HSZ18] D. Hainaut, Y. Shen, and Y. Zeng, How do capital structure and economic regime affect fair prices of bank’s equity and liabilities? Ann. Operations Res. 262 (2018), 519-545.
  • [Hie14] P. Hieber, First-passage times of regime switching models, Statist. Probab. Lett. 92 (2014), 148-157.
  • [JP08] Z. Jiang and M. R. Pistorius, On perpetual American put valuation and first-passage in a regime-switching model with jumps, Finance Stoch. 12 (2008), 331-355.
  • [JP12] Z. Jiang and M. R. Pistorius, Optimal dividend distribution under Markov regime switching, Finance Stoch. 16 (2012), 449-476.
  • [JR06] A. Jobert and L. C. G. Rogers, Option pricing with Markov-modulated dynamics, SIAM J. Control Optim. 44 (2006), 2063-2078.
  • [KW90] J. Kennedy and D. Williams, Probabilistic factorization of a quadratic matrix polynomial, Math. Proc. Cambridge Philos. Soc. 107 (1990), 591-600.
  • [LMRW82] R. R. London, H. P. McKean, L. C. G. Rogers, and D.Williams, A martingale approach to some Wiener-Hopf problems. I, II, in: Seminar on Probability, XVI, Lecture Notes in Math. 920, Springer, Berlin, 1982, 41-67, 68-90.
  • [MP11] A. Mijatović and M. R. Pistorius, Exotic derivatives under stochastic volatility models with jumps, in: Advanced Mathematical Methods for Finance, Springer, Heidelberg, 2011, 455-508.
  • [Mit88] D. Mitra, Stochastic theory of a fluid model of producers and consumers coupled by a buffer, Adv. Appl. Probab. 20 (1988), 646-676.
  • [N14] M. Nilsson, Hitting time in Erlang loss systems with moving boundaries, Queueing Systems 78 (2014), 455-508.
  • [Rog94] L. C. G. Rogers, Fluid models in queueing theory and Wiener-Hopf factorization of Markov chains, Ann. Appl. Probab. 4 (1994), 390-413.
  • [RS94] L. C. G. Rogers and Z. Shi, Computing the invariant law of a fluid model, J. Appl. Probab. 31 (1994), 885-896.
  • [Sys92] R. Syski, Passage Times for Markov Chains, IOS Press, Amsterdam, 1992.
  • [Wid41] D. V. Widder, The Laplace Transform, Princeton Math. Ser. 6, Princeton Univ. Press, Princeton, NJ, 1941.
  • [Wil91] D.Williams, Some aspects of Wiener-Hopf factorization, Philos. Trans. Roy. Soc. London Ser. A 335 (1991), 593-608.
  • [Wil08] D. Williams, A new look at ‘Markovian’ Wiener-Hopf theory, in: Séminaire de probabilités XLI, Lecture Notes in Math. 1934, Springer, Berlin, 2008, 349-369.
  • [XC18] H. Xing and Y. Chen, Dependence of structural breaks in rating transition dynamics on economic and market variations, Rev. Econom. Finance 11 (2018), 1-18.
  • [YZ14] G. G. Yin and Q. Zhang, Continuous-Time Markov Chains and Applications: A Two-Time-Scale Approach, Springer, New York, 2013.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
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Bibliografia
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