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Pitfalls in modeling loss given default of bank loans
Hibbeln, Martin; Gürtler, Marc - 2011
estimates. -- Credit risk ; Bank loans ; Loss given default ; Forecasting …The parameter loss given default (LGD) of loans plays a crucial role for risk-based decision making of banks including …. For bank loans, the estimation is usually based on discounted recovery cash flows, leading to workout LGDs. In this paper …
Persistent link: https://www.econbiz.de/10009487575
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Forecasting expected and unexpected losses
Juselius, Mikael; Tarashev, Nikola A. - 2020
procyclicality of banks' loss-absorbing resources. …
Persistent link: https://www.econbiz.de/10012391488
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Refinance Incidence and Information Loss in Predicting Prepayment Risk
Tzioumis, Konstantinos - 2020
This paper uses loan-level data to investigate heterogeneity in loan prepayment incidence, and argues that refinancing is affected by a mortgage pricing convention that underestimates co-borrowers' actual creditworthiness. Specifically, we find a substantial difference in prepayment incidence...
Persistent link: https://www.econbiz.de/10012845177
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Non-Performing loans for Italian companies : when time matters. an empirical research on estimating probability to default and loss given default
Orlando, Guiseppe; Pelosi, Roberta - In: International Journal of Financial Studies : open … 8 (2020) 4/68, pp. 1-22
Within bank activities, which is normally defined as the joint exercise of savings collection and credit supply, risk … importance. It is most simply defined as the potential that a bank borrower or counterparty fails to fulfil correctly at maturity … main risk components, the Probability of Default (PD) and the Loss Given Default (LGD) have been the subject of greater …
Persistent link: https://www.econbiz.de/10012321142
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Intertemporal Defaulted Bond Recoveries Prediction Via Machine Learning
Nazemi, Abdolreza - 2018
The recovery rate on defaulted corporate bonds has a time-varying distribution. We propose machine learning approaches for intertemporal analysis of U.S. corporate bonds' recovery rates with a large number of predictors. The most informative macroeconomic variables are selected from a broad...
Persistent link: https://www.econbiz.de/10012908447
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Forecasting lifetime credit losses : modelling considerations for complying with the new FASB and IASB current expected credit loss models
McPhail, Joseph E.; McPhail, Lihong Lu - In: Journal of risk management in financial institutions 7 (2014) 4, pp. 375-388
Persistent link: https://www.econbiz.de/10011346965
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Intertemporal forecasts of defaulted bond recoveries and portfolio losses
Kalotay, Egon A.; Altman, Edward I. - In: Review of finance : journal of the European Finance … 21 (2017) 1, pp. 433-463
Persistent link: https://www.econbiz.de/10011778628
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Modeling loss given default regressions
Li, Phillip; Zhang, Xiaofei; Zhao, Xinlei - In: Journal of risk 23 (2020/2021) 1, pp. 1-32
Persistent link: https://www.econbiz.de/10012500067
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A copula sample selection model for predicting multi-year LGDs and Lifetime Expected Losses
Krüger, Steffen; Oehme, Toni; Rösch, Daniel; Scheule, … - In: Journal of empirical finance 47 (2018), pp. 246-262
Persistent link: https://www.econbiz.de/10012103459
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Loss functions for Loss Given Default model comparison
Hurlin, Christophe; Leymarie, Jérémy; Patin, Antoine - In: European journal of operational research : EJOR 268 (2018) 1, pp. 348-360
Persistent link: https://www.econbiz.de/10011813102