scholarly journals An Urn-Based Nonparametric Modeling of the Dependence between PD and LGD with an Application to Mortgages

Risks ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 76 ◽  
Author(s):  
Dan Cheng ◽  
Pasquale Cirillo

We propose an alternative approach to the modeling of the positive dependence between the probability of default and the loss given default in a portfolio of exposures, using a bivariate urn process. The model combines the power of Bayesian nonparametrics and statistical learning, allowing for the elicitation and the exploitation of experts’ judgements, and for the constant update of this information over time, every time new data are available. A real-world application on mortgages is described using the Single Family Loan-Level Dataset by Freddie Mac.

2020 ◽  
Vol 8 (4) ◽  
pp. 68
Author(s):  
Giuseppe Orlando ◽  
Roberta Pelosi

Within bank activities, which is normally defined as the joint exercise of savings collection and credit supply, risk-taking is natural, as in many human activities. Among risks related to credit intermediation, credit risk assumes particular importance. It is most simply defined as the potential that a bank borrower or counterparty fails to fulfil correctly at maturity the pecuniary obligations assumed as principal and interest. Whenever this happens, a loan is non-performing. Among the main risk components, the Probability of Default (PD) and the Loss Given Default (LGD) have been the subject of greater interest for research. In this paper, logit model is used to predict both components. Financial ratios are used to estimate the PD. Time of recovery and presence of collateral are used as covariates of the LGD. Here, we confirm that the main driver of economic losses is the bureaucratically encumbered recovery system and the related legal environment. The long time required by Italian bureaucratic procedures, simply put, seems to lower dramatically the chance of recovery from defaulting counterparties.


2020 ◽  
pp. CLINLACT-D-20-00008
Author(s):  
Dena Duran ◽  
Jarold T. Johnston

ObjectivesSome hospitals have instituted separation of mothers and their newborn(s) when SARS-CoV-2 is suspected or confirmed in the mother. Limited data are available for SARS-CoV-2 vertical transmission, including studies on breast milk. This article looks at SARS CoV-2 case studies and data to date as well as prior pertinent research.MethodsInformal searches of PUBMED, CINAHL and Ovid Emcare were used to identify early reports of vertical transmissions of the novel Coronavirus, case reports, and population based reports of early evolving protocols and their outcomes. As this is a novel virus the authors used previously identified anti-infectivity and antiviral mechanisms of human milk on other similar viruses to guide analysis. Further this article reviewed the well established literature regarding the risks of undue infant separation which negatively affect nearly every aspect of infant and maternal health.ResultsInformal searches conducted in the spring and early summer of 2020 identified 14 early reports attempting to analyze the initial and evolving global response to SARS-CoV-2 and the effects of the virus on the maternal-infant dyad.ConclusionThe feasibility of single-family rooms and support for breastfeeding as an alternative approach that addresses many of the risks favorably and reduces economic cost, both in lifetime disease burden and direct care are discussed. Initial reports seem to indicate that immediate separation of the mother from her newborn is likely to increase the risk to both mother and infant.


2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Salvador Climent-Serrano

In this research, an econometric with panel data using Ordinary least squares OLS model is constructed following the guidelines recommended by the EBA stress test methodology for 2016. The findings indicate that macroeconomic factors affecting defaults are the expected ones in the Spanish credit institutions. However, loan impairments do not follow the patterns that a priori would be normal. Divergent is outcomes in defaults and impairments: the Non-Performing Loans (NPL) is pro-cyclical and impairment losses are counter-cyclical.


Risks ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 107
Author(s):  
Clive Hunt ◽  
Ross Taplin

The aggregation of individual risks into total risk using a weighting variable multiplied by two ratio variables representing incidence and intensity is an important task for risk professionals. For example, expected loss (EL) of a loan is the product of exposure at default (EAD), probability of default (PD), and loss given default (LGD) of the loan. Simple weighted (by EAD) means of PD and LGD are intuitive summaries however they do not satisfy a reconciliation property whereby their product with the total EAD equals the sum of the individual expected losses. This makes their interpretation problematic, especially when trying to ascertain whether changes in EAD, PD, or LGD are responsible for a change in EL. We propose means for PD and LGD that have the property of reconciling at the aggregate level. Properties of the new means are explored, including how changes in EL can be attributed to changes in EAD, PD, and LGD. Other applications such as insurance where the incidence ratio is utilization rate (UR) and the intensity ratio is an average benefit (AB) are discussed and the generalization to products of more than two ratio variables provided.


Author(s):  
Gleeson Simon

This chapter discusses the internal ratings-based approach (IRB). The IRB permits a bank to use its internal models to derive risk weights for particular exposures. There are two available bases for the IRB: foundation (F-IRB), which permits the bank to model Probability of Default (PD), but relies on regulatory standard figures to determine Loss Given Default (LGD) and Exposure at Default (EAD); and advanced (A-IRB), in which all three of these are modelled. The A-IRB IRB approach models PD, LGD, EAD, and M. Both IRB approaches model both expected loss (EL) and unexpected loss (UL), and IRB banks are expected to recognise the EL derived from their models in their capital calculations. Consequently, a bank using an IRB approach will generally have a different total capital level from that which it would have if it were an SA bank.


2019 ◽  
Vol 4 (1) ◽  
pp. 43-52
Author(s):  
Zulfikar Zulfikar ◽  
Mujiyati Mujiyati ◽  
Andy Dwi Bayu Bawono ◽  
Sri Wahyuni

Penelitian ini menginvestigasi peran kebijakan loan loss provision (LLP) pembiayaan mudharabapada kinerja keuangan Bank Umum Syariah (BUS) di Indonesia. Structural Equation Modeling-Partial Least Square (SEM-PLS) digunakan untuk menguji keterkaitan loan loss provision dengankinerja keuangan pada 13 Bank Umum Syariah (BUS) selama 4,5 tahun. Analisis outer modelmenunjukkan bahwa probability of default dan loss given default merupakan faktor penentuloan loss provision. Sedangkan kinerja keuangan ditentukan oleh return on asset, nonperforming financial, net operating margin, dan biaya operasional terhadap pendapatanoperasional. Hasil penelitan ini menunjukkan bahwa loan loss provision berpengaruh langsungterhadap kinerja keuangan. Investigasi lebih lanjut menunjukkan bahwa pendapatanmudharaba berperan meningkatkan pengaruh loan loss provision terhadap kinerja keuangan(pengaruh tidak langsung).


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