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Novel loss-of-function <i>SPAG</i>17 homozygous variant segregated in a family with severe asthenozoospermia: upgrading gene-disease validity to strong. [PDF]
Wang L +9 more
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Predicting loss given default using post-default information
Knowledge-Based Systems, 2021Abstract The loss given default (LGD) is an essential component for estimating credit risk according to the international regulatory Basel Accord. Traditionally, LGD models are built based on the characteristics of the loan and the borrower prior to default, a practice which fails to consider the post-default information revealed during the repayment
Fanyin Zhou, Zhiyong Li, Xiao Yao
exaly +2 more sources
Loss functions for Loss Given Default model comparison
European Journal of Operational Research, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christophe Hurlin
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Loss given default decomposition using mixture distributions of in-default events
European Journal of Operational Research, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wojciech Starosta
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Default and loss given default in agriculture
Agricultural Finance Review, 2011Purpose – The purpose of this paper is to investigate the relationship between loan default and loss given default (LGD) in an agricultural loan portfolio. The analysis employs a simulation model approach to evaluate the role that systematic and non‐systematic risks play in determining the economic capital requirements under different agricultural ...
Glenn Pederson, Nicholas Sakaimbo
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2022
The following sections are included: Basic Definition Recovery Rating Scale LGD Modeling Approaches LGD Proxy Indicators Additional Thoughts on ...
Giuseppe Orlando +3 more
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The following sections are included: Basic Definition Recovery Rating Scale LGD Modeling Approaches LGD Proxy Indicators Additional Thoughts on ...
Giuseppe Orlando +3 more
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SSRN Electronic Journal, 2018
We investigate the puzzle in the literature that various parametric loss given default (LGD) statistical models perform similarly by comparing their performance in a simulation framework. We find that, even using the full set of explanatory variables from the assumed data generating process, these models still show similar poor performance in terms of ...
Phillip Li, Xiaofei Zhang, Xinlei Zhao
openaire +1 more source
We investigate the puzzle in the literature that various parametric loss given default (LGD) statistical models perform similarly by comparing their performance in a simulation framework. We find that, even using the full set of explanatory variables from the assumed data generating process, these models still show similar poor performance in terms of ...
Phillip Li, Xiaofei Zhang, Xinlei Zhao
openaire +1 more source
Defaults and Losses Given Default of Structured Finance Securities
The Journal of Fixed Income, 2004There is little research on default and recovery rates of structured finance securities, despite the growth of the market and how important their performance is in bank regulation and risk management as well as in valuation of market transactions. In 2003, the total issuance of asset-backed securities (ABS) including collateralized debt obligations ...
Jian Hu, Richard Cantor
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The Journal of Credit Risk, 2006
Basel II requires that banks use downturn loss given default (LGD) estimates in regulatory capital calculations, citing the fact that the probability of default (PD) and LGD correlations are not captured. We show that the lack of correlation can be taken care of by incorporating a certain degree of conservatism in cyclical LGD in a point-in-time (PIT ...
Peter Miu, Bogie Ozdemir
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Basel II requires that banks use downturn loss given default (LGD) estimates in regulatory capital calculations, citing the fact that the probability of default (PD) and LGD correlations are not captured. We show that the lack of correlation can be taken care of by incorporating a certain degree of conservatism in cyclical LGD in a point-in-time (PIT ...
Peter Miu, Bogie Ozdemir
openaire +1 more source

