The measurement of LGD - the share of an exposure that is actually lost when a borrower defaults - is a critical area of the science of credit analysis. Topics covered include: - Using multivariate models for the estimation of LGD - Exploring the links between LGD and default risk - Providing a Basel II compliant framework for LGD estimation - Full accounts of the latest developments in the field of LGD analysis - Includes a full summary of results of academic research in LGD measurement over the past 10 years, including the latest research findings from the main empirical and theoretical academic
AbstractThis paper deals with the methods for estimating credit risk parameters from market prices, ...
By means of two different simulation engines, we assess the consequences - for bank risk estimates a...
Estimating Recovery Rate and Recovery Amount has taken a more importance in consumer credit because ...
The measurement of LGD - the share of an exposure that is actually lost when a borrower defaults - i...
Loss Given Default (LGD) is one of the key parameters needed in order to estimate expected and unexp...
Two important risk drivers in credit risk are exposure risk (measured by exposure at default (EAD) ...
Two important risk drivers in credit risk are exposure risk (measured by exposure at default (EAD) ...
This Chapter surveys the literature on the estimation of expected LGD and recovery risk, critically ...
This Chapter surveys the literature on the estimation of expected LGD and recovery risk, critically ...
Credit risk remains one of the major risks faced by most financial and credit institutions. It is de...
LossCalc ™ version 2.0 is the Moody's KMV model to predict loss given default (LGD) or (1- reco...
The chapter looks at LGD (loss given default) from a regulatory and a risk management perspecitve
The rigorous thesis deals with the advanced methods for estimating credit risk parameters from marke...
The chapter looks at LGD (loss given default) from a regulatory and a risk management perspecitve
The master thesis deals with the advanced methods for estimating credit risk parameters from market ...
AbstractThis paper deals with the methods for estimating credit risk parameters from market prices, ...
By means of two different simulation engines, we assess the consequences - for bank risk estimates a...
Estimating Recovery Rate and Recovery Amount has taken a more importance in consumer credit because ...
The measurement of LGD - the share of an exposure that is actually lost when a borrower defaults - i...
Loss Given Default (LGD) is one of the key parameters needed in order to estimate expected and unexp...
Two important risk drivers in credit risk are exposure risk (measured by exposure at default (EAD) ...
Two important risk drivers in credit risk are exposure risk (measured by exposure at default (EAD) ...
This Chapter surveys the literature on the estimation of expected LGD and recovery risk, critically ...
This Chapter surveys the literature on the estimation of expected LGD and recovery risk, critically ...
Credit risk remains one of the major risks faced by most financial and credit institutions. It is de...
LossCalc ™ version 2.0 is the Moody's KMV model to predict loss given default (LGD) or (1- reco...
The chapter looks at LGD (loss given default) from a regulatory and a risk management perspecitve
The rigorous thesis deals with the advanced methods for estimating credit risk parameters from marke...
The chapter looks at LGD (loss given default) from a regulatory and a risk management perspecitve
The master thesis deals with the advanced methods for estimating credit risk parameters from market ...
AbstractThis paper deals with the methods for estimating credit risk parameters from market prices, ...
By means of two different simulation engines, we assess the consequences - for bank risk estimates a...
Estimating Recovery Rate and Recovery Amount has taken a more importance in consumer credit because ...