Credit Rating Modelled with Reflected Stochastic Differential Equations

DOI: 10.4236/jmf.2014.45031   PDF   HTML   XML   3,156 Downloads   3,794 Views  


This research paper is focused on the modelling of credit rating, using reduced form approach, in which intensity is defined endogenously based on the firm’s cashflow. It was modelled with reflected stochastic differential equation; this was adopted to evaluate the credit rating of a firm where the reflection function Ø(t) (i.e. Brownian local time) was used to detect default and measure time spent at default. Through this, the credit rating is estimated within [0,1]; where “0” is the state of default and “1” is interpreted as undefaultable within a time interval t≥[0, ∞) under consideration.

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Sonubi, A. (2014) Credit Rating Modelled with Reflected Stochastic Differential Equations. Journal of Mathematical Finance, 4, 333-337. doi: 10.4236/jmf.2014.45031.

Conflicts of Interest

The authors declare no conflicts of interest.


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