Ruin Probability for Stochastic Flows of Financial Contract under Phase-Type Distribution
Franck Adékambi and
Kokou Essiomle
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Franck Adékambi: Schoool of Economics, University of Johannesburg, Johannesburg 2006, South Africa
Kokou Essiomle: Schoool of Economics, University of Johannesburg, Johannesburg 2006, South Africa
Risks, 2020, vol. 8, issue 2, 1-21
Abstract:
This paper examines the impact of the parameters of the distribution of the time at which a bank’s client defaults on their obligated payments, on the Lundberg adjustment coefficient, the upper and lower bounds of the ruin probability. We study the corresponding ruin probability on the assumption of (i) a phase-type distribution for the time at which default occurs and (ii) an embedding of the stochastic cash flow or the reserves of the bank to the Sparre Andersen model. The exact analytical expression for the ruin probability is not tractable under these assumptions, so Cramér Lundberg bounds types are obtained for the ruin probabilities with concomitant explicit equations for the calculation of the adjustment coefficient. To add some numerical flavour to our results, we provide some numerical illustrations.
Keywords: stochastic cash flow; Sparre Andersen model; ruin probability; phase-type distribution; Erlang distribution; Coxian distribution; moment generating function (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:8:y:2020:i:2:p:53-:d:361766
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