The Sensitivity of the Loss Given Default Rate to Systematic Risk: New Empirical Evidence on Bank Loans

We verify the existence of a relation between loss given default rate (LGDR) and macroeconomic conditions by examining 11,649 bank loans concerning the Italian market. Using both the univariate and multivariate analyses, we pinpoint diverse macroeconomic explanatory variables for LGDR on loans to households and SMEs. For households, LGDR is more sensitive to the default-to-loan ratio, the unemployment rate, and household consumption. For SMEs, LGDR is influenced by the total number of employed people and the GDP growth rate. These findings corroborate the Basel Committee’s provision that LGDR quantification process must identify distinct downturn conditions for each supervisory asset class.

Loss given default of residential mortgages in a low LTV regime: Role of foreclosure auction process and housing market cycles

Using loan-level foreclosure auction data we study the loss given default (LGD) of defaulted residential mortgages originated in Korea, a low LTV regime. We find that senior mortgages generate very low loss rates (5–10%) while losses of subordinated claims are in 30–50% range. We document the effects of housing market cycles on loss severity by showing that collateral characteristics that are overvalued during the boom increase loss severity during the market downturn. We also investigate how a broad set of time-of-origination and post-origination information on loan, collateral and borrower characteristics and foreclosure auction process influence the LGD of residential mortgages.     

Bank Liability Structure,FDIC Loss,and Time to Failure: A Quantile Regression Approach

Deposit insurers are particularly concerned about high-cost failures. When the factors driving such failures differ systematically from the determinants of low- and moderate-cost failures, a new estimation technique is required. Using a sample of more than 1,000 bank failures in the U.S. between 1984 and 2003, I present a quantile regression approach that illustrates the sensitivity of the dollar value of losses in different quantiles to my explanatory variables. These findings suggest that reliance on standard econometric techniques results in misleading inferences, and that losses are not homogeneously driven by the same factors across the quantiles. I also find that liability composition affects time to failure.

Pricing Sovereign Credit Risk of Poland: Evidence from the CDS Market

We analyze the market assessment of sovereign credit risk using a reduced-form model to price the credit default swap (CDS) spreads, thus enabling us to derive values for the probability of default (PD) and loss given default (LGD) from the quotes of sovereign CDS contracts. We compare different specifications of the models allowing for both fixed and time-varying LGD, and we use these values to analyze the sovereign credit risk of Polish debt throughout the period of a global financial crisis. Our results suggest the presence of a low LGD and a relatively high PD during a recent financial crisis.     

Modeling severity risk under PD–LGD correlation

In this article, a generic severity risk framework in which loss given default (LGD) is dependent upon probability of default (PD) in an intuitive manner is developed. By modeling the conditional mean of LGD as a function of PD, which also varies with systemic risk factors, this model allows an arbitrary functional relationship between PD and LGD. Based on this framework, several specifications of stochastic LGD are proposed with detailed calibration methods. By combining these models with an extension of CreditRisk+, a versatile mixed Poisson credit risk model that is capable of handling both risk factor correlation and PD–LGD dependency is developed. An efficient simulation algorithm based on importance sampling is also introduced for risk calculation. Empirical studies suggest that ignoring or incorrectly specifying severity risk can significantly underestimate credit risk and a properly defined severity risk model is critical for credit risk measurement as well as downturn LGD estimation.     

Accounting conservatism and voluntary corporate governance mechanisms by Australian firms

This study examines the relationship between voluntary adoption of selected corporate governance mechanisms and accounting conservatism for a sample of firms listed on the Australian Securities Exchange (ASX) over the 11‐year period prior to the promulgation of the ASX Corporate Governance Council Good Governance Principles and Best Practice Recommendations in 2003. Using four accounting and market‐based accounting conservatism measures, our results provide evidence of both conditional and unconditional conservatism in accounting reporting for Australian firms. We find that voluntary audit committee formation, increasing board independence and decreasing board size are positively associated with unconditional accounting conservatism and negatively related to the degree of conditional conservatism. Our results support the contention that firms voluntarily adopting perceived best practice corporate governance mechanisms employ unconditional accounting conservatism as a complimentary agency control device and are consistent with the observed negative association between the unconditional and conditional forms of accounting conservatism practice.     

基于Logistic回归的陕西农村家庭致贫因素分析

贫困的发生是制度、环境、文化、人力资本、社会资本等多个因素综合循环作用的结果。陕西省是我国农村贫困最集中的省区之一。为使农村摆脱贫困落后面貌,提出切实可行的反贫困措施,科学揭示农村家庭致贫因素就显得十分重要。本文以国家级贫困县——陕西省淳化县的问卷调查结果为基础,运用logistic回归,从个人、家庭、社区和国家政策四个层面分析了陕西农村家庭的致贫因素,并提出了相应措施。     

基于Logistic回归法的商业银行财务风险预警模型研究

商业银行的稳定健康直接关系到金融体系的稳定和国家经济的发展乃至国家安全。本文在对商业银行财务风险进行深入分析的基础上,通过比较＂经营稳健的商业银行＂和＂经营出现财务风险的商业银行＂在资本充足性、信用、盈利能力、流动性和发展能力五个方面存在显著性差异的指标,采用Logistic回归法构建了一个多指标综合监控的银行财务风险测度模型,以期能够有效地识别风险,通过事前控制确保商业银行的健康稳定发展,平抑经济波动,为实现国民经济的良性循环奠定基础,最终促进我国国民经济沿着良好的态势发展。     

有序多分类logistic模型在违约概率测算中的应用

初始违约概率的测算是商业银行实施经济资本管理的必要环节。针对我国商业银行的现状,结合贷款五级分类,通过对银行的公司类客户的财务指标作时间加权化处理、因子分析、ROC检验以及使用有序多分类logistic模型对初始违约概率的测算作了有价值的探索,并通过算例分析论证了其可行性。