Behavioral technology credit scoring model with time-dependent covariates for stress test

被引:12
作者
Ju, Yonghan [1 ]
Jeon, Song Yi [1 ]
Sohn, So Young [1 ]
机构
[1] Yonsei Univ, Dept Informat & Ind Engn, Seoul 120749, South Korea
基金
新加坡国家研究基金会;
关键词
Technology credit scoring; Stress test; Time-varying covariate; Survival analysis; RISK; VALUATION;
D O I
10.1016/j.ejor.2014.10.054
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Technology based loan default is related not only to technology-oriented attributes (management, technology, profitability and marketability), and firm-specific characteristics but also to the economic situation after the loan. However, the default phenomenon for technology based loan has not reflected the change of economic situation. We propose a framework of utilizing a time varying Cox hazard proportional model in the context of technology based credit scoring. The proposed model is used for stress test with various scenarios of lending portfolio and economic situations. The results indicate that the firms with higher management score than average have the lower loan default rates than the firms with higher profitability or marketability score than average due to the effect of manager's knowledge and experience and fund supply ability when they are exposed under the same economic condition. In scenario test, we found the highest default rate under stable exchange rate with high consumer price index. Moreover, firms with a high level of marketability factors turn out to be significantly affected by economic conditions in terms of technology credit risk. We expect the result of this study can provide valuable feedback for the management of technology credit fund for SMEs. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:910 / 919
页数:10
相关论文
共 34 条
  • [1] Altman E.I., 2005, J FINANC RES, V28 Nos, P15, DOI DOI 10.1007/S10693-005-4355-5
  • [2] Altman EI, 2001, CREDIT RATINGS BIS R, P1
  • [3] Asymmetric dependence patterns in financial time series
    Ammann, Manuel
    Suess, Stephan
    [J]. EUROPEAN JOURNAL OF FINANCE, 2009, 15 (7-8) : 703 - 719
  • [4] Andersen P K, 1992, Stat Methods Med Res, V1, P297, DOI 10.1177/096228029200100305
  • [5] Integrated bank risk modeling: A bottom-up statistical framework
    Bellini, Tiziano
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2013, 230 (02) : 385 - 398
  • [6] Credit scoring with macroeconomic variables using survival analysis
    Bellotti, T.
    Crook, J.
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2009, 60 (12) : 1699 - 1707
  • [7] Boyson N.M., 2003, WORKING PAPER
  • [8] Brown J., 2007, ISSUE RETAIL CREDIT
  • [9] Corporate credit risk modeling and the macroeconomy
    Carling, Kenneth
    Jacobson, Tor
    Linde, Jesper
    Roszbach, Kasper
    [J]. JOURNAL OF BANKING & FINANCE, 2007, 31 (03) : 845 - 868
  • [10] CLAESSENS S., 2005, Journal of Financial Services Research, V28, P5, DOI DOI 10.1007/S10693-005-4354-6