An Ordered Qualitative Response Modeling Approach for the Estimation of Corporate Defaults and Other Forms of Exit
Öz
We propose a new approach for the estimation of defaults and other forms of exit of borrowers. Our approach is based on the ordered qualitative response model. We first show that any ordered qualitative response model is equivalent to the competing risks model – commonly employed in the estimation of corporate defaults and other forms of exit – in continuous-time. We then construct the continuous-time likelihood function of the models and further present its discrete-time simplification. Lastly, we compare and contrast the competing risks and ordered qualitative response models through numerical experiments in a two-state setting, and demonstrate that none of the alternatives necessarily dominates the others. Our results indicate that it may be worthwhile to estimate the models in continuous-time.
Anahtar Kelimeler
Kaynakça
- AMEMIYA, Takeshi, “Qualitative Response Models”, Annals of Economic and Social Management, 4 (3), 1975, pp. 363-372.
- DAS, Sanjiv, Darrel DUFFIE, Nikunj KAPADIA, and Leandro SAITA, “Common Failings: How Corporate Defaults are Correlated”, Journal of Finance, 62, 2007, pp. 93–117.
- DUFFIE, Darrel, Andreas ECKNER, Guillaume HOREL, and Leandro SAITA, “Frailty Correlated Default”, Journal of Finance, 64, 2009, pp. 2089–2123.
- DUFFIE, Darrel, Leandro SAITA, and Ke WANG, “Multi-period Corporate Default Prediction with Stochastic Covariates”, Journal of Financial Economics, 83 (3), 2007, pp. 635–665.
- SHUMWAY, Tyler, “Forecasting Bankruptcy More Accurately: A Simple Hazard Model”, Journal of Business, 74, 2001, pp. 101–124.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yazarlar
Sinan Alçın
Istanbul Kultur University, Department of Economics
Türkiye
T. Sabri Öncü
Bu kişi benim
New York University, Stern School of Business
United States
Yayımlanma Tarihi
31 Ekim 2017
Gönderilme Tarihi
27 Eylül 2016
Kabul Tarihi
31 Temmuz 2017
Yayımlandığı Sayı
Yıl 2017 Cilt: 4 Sayı: 2
