预期效用下非极端违约回收率的贝塔分布修正模型被引量：2

Beta Distribution Model Based on Expected Utility for Non-Extreme Recovery Rate

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摘要在预期效用分布理论的框架下,对非极端违约回收率构造了贝塔分布修正模型。该模型与传统分布模型相比,保持了贝塔分布刻画违约回收率的适用性,同时具有一定的经济理论基础,还避免了过拟合问题,进一步采用提出的模型对我国违约贷款数据作了实证分析。结果显示,采用上述模型得到的结果能够直观有效地解释各因素对违约回收率分布的影响,有助于违约回收率分布的影响因素和原理研究;在模型效果上修正的贝塔模型进行违约回收率分布的样本外预测效果也优于传统贝塔拟合和广义贝塔回归模型。 Under the framework of expected utility distribution, this paper constructs a modified beta distribution model to study the non-extreme recovery rate. Compared with traditional distribution methods, this model is not only with the applicability of fitting, but also based on economics theory. Meanwhile, this model avoids the over-fitting problem. Further, the empirical analysis is made based on this model. The results show, this model could effectively explain the impact of each economic factor on recovery rate, and contribute to the recovery rate research. In addition, the performance of modified beta distribution model is better than traditional beta distribution and generalized beta regression model.

作者陈暮紫陈浩陈敏杨晓光

机构地区中央财经大学管理科学与工程学院中国科学院数学与系统科学研究院

出处《数理统计与管理》 CSSCI 北大核心 2015年第6期1016-1028,共13页 Journal of Applied Statistics and Management

基金国家自然科学基金(No.71203247 No.71271223) 教育部人文社科基金(11YJC790015 14YJA790048)资助

关键词预期效用违约回收率贝塔分布 expected utility, recovery rate, beta distribution

分类号 F830.33 [经济管理—金融学] O212 [理学—概率论与数理统计]

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参考文献21

1Altman E,Kishore M.Almost everything you always wanted to know about recoveries on defaulted bonds[J].Financial Analysts Journal,1996,(52):57-64.
2Araten Jacobs.Measuring LGD on commercial loans:an 18 years internal study[J],RMA Journal,2004,(86):28-35.
3Asarnow E,Edwards D.Measuring loss on defaulted bank loans:A 24-year study[J].Journal of Commercial Lending,1995,(77):11-23.
4Yao X,Crook J,Andreeva G.Support vector regression for loss given default modelling[J].European Journal of Operational Research,2015,240(2):528-538.
5Frye J.Depressing recoveries[J].RISK,2000,13(11):108-111.
6Altman E,Resti A,Sironi A.Default recovery rates in credit risk modelling:A review of the literature and empirical evidence[J].Economic Notes,2004,33(2):183-208.
7Ferrari S,Cribari-Neto F.Beta regression for modelling rates and proportions[J].Journal of Applied Statistics,2004,31(7):799-815.
8陈暮紫,陈浩,马宇超,王博,唐跃,黄意球,陈敏,杨晓光.基于广义Beta回归的不良贷款回收率模型[J].数理统计与管理,2011,30(5):810-823. 被引量：5
9Friedman C,Sandow S.Recovery rates of defaulted debt:A maximum expected utility approach[R].Standard and Poors,2003.
10Friedman C,Sandow S.Model performance measures for expected utility maximizing investors[J].International Journal of Theoretical and Applied Finance,2003,6(4):355-401.

二级参考文献56

1武剑.内部评级法中的违约损失率(LGD)模型——新资本协议核心技术研究[J].国际金融研究,2005(2):15-22. 被引量：27
2沈沛龙,崔婕.内部评级法中违约损失率的度量方法研究[J].金融研究,2005(12):86-95. 被引量：19
3[1]Acharya,Bharath and Srinivasan.Understanding the Recovery Rates on Defaulted Securities.Working paper.2003(9).
4[2]Altman,E and V Kishore.Almost everything you wanted to know about recovery on defaulted bonds.Financial Analyst's Journal,1996,(6):57-64.
5[3]Asarnow,Elliot and David Edwards.Measuring loss on defaulted bank loans:a 24-year study.Journal of Commercial Lending.1995,77 (7):11-23.
6[4]Basel Committee,New Basel Capital Accord CP3,April.2003.
7[5]Carty and Lieberman.Defaulted bank loan recoveries.Moody's Special Comment,1996:1-12.
8[6]Dermine and Carvalho.Bank loan losses-Given-Default,A case study.Working paper.2005.3
9[7]Eales,R and Bosworth.Severity of loss in the event of default in small business and larger consumer loans.Journal of Lending & Credit Risk Management,1998,27 (4):58-65.
10[8]Gupton,Gates and Carty.Bank-loan loss given default.Moody's Investor's Service,Global Credit Research,November,2000:1-24.