A Bayesian approach to modeling mortgage default and prepayment

Simon Wilson, Arnab Bhattacharya, Refik Soyer

Trinity's Access to Research Output (TARA) (Trinity College Dublin) · 2019 · 31 citations · 22 references

Concepts

Abstract

In this paper we present a Bayesian competing risk proportional hazards model to describe mortgage defaults and prepayments. We develop Bayesian inference for the model using Markov chain Monte Carlo methods. Implementation of the model is illustrated using actual default/prepayment data and additional insights that can be obtained from the Bayesian analysis are discussed.

References

22