A Review of First-Passage Theory for the Segerdahl Risk Process and Extensions
Florin Avram, Jose-Luis Perez-Garmendia

TL;DR
This paper reviews first-passage theory for the Segerdahl risk process, highlighting its unique features, existing methods, and open problems, with an emphasis on computational challenges and connections to other spectrally negative Markov processes.
Contribution
It provides a comprehensive review of approaches to first-passage problems in the Segerdahl process and discusses open issues in numerical computation of key functions.
Findings
The ruin probability for the Segerdahl process has been computed.
Connections between different approaches to first-passage problems are identified.
Open problems in numerical methods for non-Levy, non-diffusion processes are highlighted.
Abstract
The Segerdahl process (Segerdahl (1955)), characterized by exponential claims and affine drift, has drawn a considerable amount of interest -- see, for example, (Tichy (1984); Avram and Usabel (2008), due to its economic interest (it is the simplest risk process which takes into account the effect of interest rates). It is also the simplest non-Levy, non-diffusion example of a spectrally negative Markov risk model. Note that for both spectrally negative Levy and diffusion processes, first passage theories which are based on identifying two basic monotone harmonic functions/martingales have been developped. This means that for these processes many control problems involving dividends, capital injections, etc., may be solved explicitly once the two basic functions have been obtained. Furthermore, extensions to general spectrally negative Markov processes are possible (Landriault et al.…
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Taxonomy
TopicsProbability and Risk Models · Stochastic processes and financial applications · Insurance, Mortality, Demography, Risk Management
