Combinations of models produce better NPL estimates in study of Greek crisis
Sponsored webinar: Moody's Analytics and Qlik
This paper explores the aggregation of different single ratings to a ‘consensus rating’ to get a higher precision of a debtor’s default probability. It builds upon the methodology published by Grün et al, 2013 and Lehmann and Tillich, 2016.
The authors analyze the impact of a decline in property prices that leads to stressed recovery rates for collateral on the loss given default (LGD) parameter in portfolios of mortgage loan.
Huge losses from the 2008 crisis can be seen as a short option position
This paper assesses the predictive ability of financial and nonfinancial variables for a long horizon in a large cross-sectional sample of Finnish firms
Sponsored by Oracle, Moody's Analytics and AxiomSL
Self-taught technology could push humans aside from some – or all – of the underwriting process
PeerIQ CEO Ram Ahluwalia shines a light on the world of peer-to-peer securitisation
Sponsored webinar: Oracle
Impact studies showing significant capital increase prompted committee rethink
Modeling corporate customers’ credit risk considering the ensemble approaches in multiclass classification: evidence from Iranian corporate credits
This paper introduces a model which enables lenders to develop specific policies for credit granting by predicting the solvency and insolvency rates of their corporate clients.
Sponsored content: SAS
Estimating credit risk parameters using ensemble learning methods: an empirical study on loss given default
This study investigates two well-established ensemble learning methods: Stochastic Gradient Boosting and Random Forest, and proposed two new ensembles.
Political and prudential risks in huge bond-holdings force experts to consider new ideas
This paper analyzes the validity of using the loan-to-value (LTV) ratio to explain the behavior of mortgage borrowers at an empirical level.
Sponsored survey analysis: Oracle Financial Services