A Markov regenerative process with recurrence time and its application

Puneet Pasricha () and Dharmaraja Selvamuthu ()
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Puneet Pasricha: Indian Institute of Technology Delhi
Dharmaraja Selvamuthu: Indian Institute of Technology Delhi

Financial Innovation, 2021, vol. 7, issue 1, 1-22

Abstract: Abstract This study proposes a non-homogeneous continuous-time Markov regenerative process with recurrence times, in particular, forward and backward recurrence processes. We obtain the transient solution of the process in the form of a generalized Markov renewal equation. A distinguishing feature is that Markov and semi-Markov processes result as special cases of the proposed model. To model the credit rating dynamics to demonstrate its applicability, we apply the proposed stochastic process to Standard and Poor’s rating agency’s data. Further, statistical tests confirm that the proposed model captures the rating dynamics better than the existing models, and the inclusion of recurrence times significantly impacts the transition probabilities.

Keywords: Non-homogeneous Markov regenerative process; Recurrence times; Markov renewal equation; Credit ratings; Default distribution (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1186/s40854-021-00255-z

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