Dependence of defaults and recoveries in structural credit risk models

被引:7
|
作者
Schaefer, Rudi [1 ]
Koivusalo, Alexander F. R. [2 ]
机构
[1] Univ Duisburg Essen, Fac Phys, Essen, Germany
[2] Koivusalo Capital, Malmo, Sweden
关键词
Credit risk; Loss distribution; Value at risk; Expected tail loss; Stochastic processes; TERM STRUCTURE; SECURITIES; SPREADS; RATES;
D O I
10.1016/j.econmod.2012.08.033
中图分类号
F [经济];
学科分类号
02 ;
摘要
The current research on credit risk is primarily focused on modelling default probabilities. Recovery rates are often treated as an afterthought; they are modelled independently, in many cases they are even assumed to be constant. This despite their pronounced effect on the tail of the loss distribution. Here, we take a step back, historically, and start again from the Merton model, where defaults and recoveries are both determined by an underlying process. Hence, they are intrinsically connected. For the diffusion process, we can derive the functional relation between expected recovery rate and default probability. This relation depends on a single parameter only. In Monte Carlo simulations we find that the same functional dependence also holds for jump-diffusion and GARCH processes. We discuss how to incorporate this structural recovery rate into reduced-form models, in order to restore essential structural information which is usually neglected in the reduced-form approach. (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 9
页数:9
相关论文
共 50 条
  • [41] Common factors in credit defaults swap markets
    Chen, Cathy Yi-Hsuan
    Haerdle, Wolfgang Karl
    [J]. COMPUTATIONAL STATISTICS, 2015, 30 (03) : 845 - 863
  • [42] Dynamic modelling of corporate credit ratings and defaults
    Vana, Laura
    Hornik, Kurt
    [J]. STATISTICAL MODELLING, 2023, 23 (04) : 357 - 375
  • [43] Credit Constraints, Heterogeneous Firms and Loan Defaults
    Fidrmuc, Jarko
    Ciaian, Pavel
    Kancs, d'Artis
    Pokrivcak, Jan
    [J]. ANNALS OF ECONOMICS AND FINANCE, 2013, 14 (01): : 53 - 68
  • [44] On the calibration of structural credit spread models
    Qi H.
    Liu S.
    Wu C.
    [J]. Annals of Finance, 2009, 5 (2) : 189 - 208
  • [45] Sovereign Defaults, Credit to the Private Sector, and Domestic Credit Market Institutions
    Sandleris, Guido
    [J]. JOURNAL OF MONEY CREDIT AND BANKING, 2014, 46 (2-3) : 321 - 345
  • [46] ENDOGENOUS ESTIMATION OF DEFAULTS IN SOVEREIGN CREDIT MARKETS
    TRILLO, FH
    [J]. TRIMESTRE ECONOMICO, 1994, 61 (242): : 219 - 256
  • [47] Randomized structural models of credit spreads
    Yi, Chuang
    Tchernitser, Alexander
    Hurd, Tom
    [J]. QUANTITATIVE FINANCE, 2011, 11 (09) : 1301 - 1313
  • [48] Credit risk models: why they failed in the credit crisis
    Sy, Wilson
    [J]. JASSA-THE FINSIA JOURNAL OF APPLIED FINANCE, 2008, (04): : 15 - 20
  • [49] Significance of Controllable and Uncontrollable Drivers in Credit Defaults
    Shi, Lei
    Allan, Neil
    Evans, John
    Yun, Yin
    [J]. ECONOMIC PAPERS, 2018, 37 (01): : 30 - 41
  • [50] Common factors in credit defaults swap markets
    Cathy Yi-Hsuan Chen
    Wolfgang Karl Härdle
    [J]. Computational Statistics, 2015, 30 : 845 - 863