Effects of debt collection practices on loss given default

被引:18
|
作者
Han, Chulwoo [1 ]
Jang, Youngmin [2 ]
机构
[1] Seoul Natl Univ, Capital Markets & Portfolio Res Inc, Seoul 151742, South Korea
[2] Korea Credit Guarantee Fund, Seoul 121744, South Korea
关键词
Loss given default; Recovery rate; Debt collection action; Foreclosure; Provisional seizure; Injunction; RECOVERY RATES;
D O I
10.1016/j.jbankfin.2012.08.009
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this article, we propose an LCD model that is solely based on legal and internal debt collection actions. Our model is supported by empirical tests in which it performs better than a usual firm specific model. This result is noteworthy when we recall that the model has only binary variables that indicate whether an action was taken. Our model can be applied to update the LCD of distressed firms in a timely manner reflecting the actions taken during the debt collection period. It also can be used to assess the effect of a recovery action and to determine whether to apply an action to certain types of debt. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:21 / 31
页数:11
相关论文
共 50 条
  • [21] The loss given default of a low-default portfolio with weak contagion
    Wei, Li
    Yuan, Zhongyi
    INSURANCE MATHEMATICS & ECONOMICS, 2016, 66 : 113 - 123
  • [22] DEFAULT WEIGHTED SURVIVAL ANALYSIS TO DIRECTLY MODEL LOSS GIVEN DEFAULT
    Joubert, Morne
    Verster, Tanja
    Raubenheimer, Helgard
    SOUTH AFRICAN STATISTICAL JOURNAL, 2018, 52 (02) : 173 - 202
  • [23] Benchmarking loss given default discount rates
    Scheule, Harald
    Jortzik, Stephan
    JOURNAL OF RISK MODEL VALIDATION, 2020, 14 (03): : 53 - 96
  • [24] Narrative practices in debt collection encounters
    Harrington, Leigh
    NARRATIVE INQUIRY, 2022, 32 (01) : 173 - 195
  • [25] Forecasting probabilities of default and loss rates given default in the presence of selection
    Roesch, D.
    Scheule, H.
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2014, 65 (03) : 393 - 407
  • [26] Predicting loss given default using post-default information
    Li, Ke
    Zhou, Fanyin
    Li, Zhiyong
    Yao, Xiao
    Zhang, Yashu
    KNOWLEDGE-BASED SYSTEMS, 2021, 224
  • [27] Debt Collection in the Information Age: New Technologies and the Fair Debt Collection Practices Act
    Hector, Colin
    CALIFORNIA LAW REVIEW, 2011, 99 (06) : 1601 - 1633
  • [28] Loss given default decomposition using mixture distributions of in-default events
    Starosta, Wojciech
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 292 (03) : 1187 - 1199
  • [29] Modeling exposure at default and loss given default: empirical approaches and technical implementation
    Yang, Bill Huajian
    Tkachenko, Mykola
    JOURNAL OF CREDIT RISK, 2012, 8 (02): : 81 - 102
  • [30] A generic framework for stochastic Loss-Given-Default
    Van Damme, Geert
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2011, 235 (08) : 2523 - 2550