Estimating Loss Given Default Based on Beta Regression

Estimating Conservative Loss given Default

The new Basel Capital Accord (Basel II) is going to be embedded in the risk management practices at many financial institutions shortly, but the academic and financial world are still discussing about several topics related to the new capital adequacy rules. One of the most important and prominent examples among these topics is the link between loss given default (LGD) and the economic cycle. I...

Modeling and estimating dependent loss given default

We propose a portfolio credit risk model with dependent loss given default (LGD) which allows for a reasonable economic interpretation and can easily be applied to real data. We build up a precise mathematical framework and stress some general important issues when modeling dependent LGD. Finally, we calibrate the model based on American bond data from 1982 to 2001 and compare the results with ...

Estimating bank loans loss given default by generalized additive models

DELFT UNIVERSITY OF TECHNOLOGY REPORT 08-10 Generalized Beta Regression Models for Random Loss-Given-Default

We propose a new framework for modeling systematic risk in LossGiven-Default (LGD) in the context of credit portfolio losses. The class of models is very flexible and accommodates well skewness and heteroscedastic errors. The quantities in the models have simple economic interpretation. Inference of models in this framework can be unified. Moreover, it allows efficient numerical procedures, suc...

Benchmarking regression algorithms for loss given default modeling

The introduction of the Basel II Accord has had a huge impact on financial institutions, allowing them to build credit risk models for three key risk parameters: PD (probability of default), LGD (loss given default) and EAD (exposure at default). Until recently, credit risk research has focused largely on the estimation and validation of the PD parameter, and much less on LGD modeling. In this ...