 The stability of survival model parameter estimates for predicting the probability of default: Empirical evidence over the credit crisisMindy Leow and Jonathan Crook European Journal of Operational Research, 2016, vol. 249, issue 2, 457-464 Abstract: Using a large portfolio of credit card loans observed between 2002 and 2011 provided by a major UK bank, we investigate the stability of the parameter estimates of discrete survival models, especially since the start of the credit crisis of 2008. Two survival models are developed for accounts that were accepted before and since the crisis. We find that the two sets of parameter estimates are statistically different from each other. By applying the estimated parameters onto a common test set, we also show that they give different predictions of probabilities of default. The changes in the predicted probability distributions are then investigated. We theorise them to be due to the quality of the cohort accepted under different economic conditions, or due to the drastically different economic conditions that was seen in the UK economy, or a combination of both. We test for each effect. Keywords: Forecasting; Robustness and sensitivity analysis; Macroeconomic variables; Structural change; Probability forecasting (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:249:y:2016:i:2:p:457-464 DOI: 10.1016/j.ejor.2014.09.005 Access Statistics for this article European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati More articles in European Journal of Operational Research from Elsevier |
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