A Framework for Integrating Extreme Weather Risk, Probability of Default, and Loss Given Default for Residential Mortgage Loans

Forecasting bank loans loss-given-default

With the advent of the new Basel Capital Accord, banking organizations are invited to estimate credit risk capital requirements using an internal ratings based approach. In order to be compliant with this approach, institutions must estimate the expected loss-given-default, the fraction of the credit exposure that is lost if the borrower defaults. This study evaluates the ability of a parametri...

Residential Mortgage Default

although default rates on residential mortgages have been relatively low in recent years, policymakers and economists should still be concerned about mortgage default for several reasons. First, while the foreclosure rate in the u.s. has averaged only 1 percent over the past 20 years, there have been dramatic swings in regional default rates over this period. For example, in the early 1990s for...

Residential Mortgage Probability of Default Models and Methods

A framework for loss given default validation of retail portfolios

Modeling and estimating loss given default (LGD) is necessary for banks that apply for the internal ratings based approach for retail portfolios. To validate LGD estimations, there are only a few approaches discussed in the literature. In this paper, two models for validating relative LGD and absolute losses are developed. The validation of relative LGD is important for risk-adjusted credit pri...

Estimating bank loans loss given default by generalized additive models