Forecasting Bankruptcy with Incomplete Information
AbstractWe propose new specifications that explicitly account for information noise in the input data of bankruptcy hazard models. The specifications are motivated by a theory of modeling credit risk with incomplete information (Duffie and Lando ). Based on over 2 million firm-months of data during 1979-2012, we demonstrate that our proposed specifications significantly improve both in-sample model fit and out-of-sample forecasting accuracy. The improvements in forecasting accuracy are persistent throughout the 10-year holdout periods. The improvements are also robust to empirical setup, and are more substantial in cases where information quality is a more serious problem. Our findings provide strong empirical support for using our proposed hazard specifications in credit risk research and industry applications. They also reconcile conflicting empirical results in the literature.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 55024.
Date of creation: 28 May 2013
Date of revision: 31 Mar 2014
Credit Risk Modeling; Incomplete Information; Hazard Models; Bankruptcy Forecast; Probability of Default (PD); Forecasting Accuracy; Intensity-based Models; Reduced-form Models; Duration Analysis; Survival Analysis;
Find related papers by JEL classification:
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-04-18 (All new papers)
- NEP-CTA-2014-04-18 (Contract Theory & Applications)
- NEP-FOR-2014-04-18 (Forecasting)
- NEP-RMG-2014-04-18 (Risk Management)
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- Szilagyi, Jan & Hilscher, Jens & Campbell, John, 2008.
"In Search of Distress Risk,"
3199070, Harvard University Department of Economics.
- John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2005. "In Searach of Distress Risk," Harvard Institute of Economic Research Working Papers 2081, Harvard - Institute of Economic Research.
- John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2006. "In Search of Distress Risk," NBER Working Papers 12362, National Bureau of Economic Research, Inc.
- Campbell, John Y. & Hilscher, Jens & Szilagyi, Jan, 2005. "In search of distress risk," Discussion Paper Series 1: Economic Studies 2005,27, Deutsche Bundesbank, Research Centre.
- Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007.
"Multi-period corporate default prediction with stochastic covariates,"
Journal of Financial Economics, Elsevier,
Elsevier, vol. 83(3), pages 635-665, March.
- Darrell Duffie & Leandro Siata & Ke Wang, 2006. "Multi-Period Corporate Default Prediction With Stochastic Covariates," NBER Working Papers 11962, National Bureau of Economic Research, Inc.
- Darrel Duffie & Leandro Saita & Ke Wang, 2005. "Multi-Period Corporate Default Prediction With Stochastic Covariates," CIRJE F-Series CIRJE-F-373, CIRJE, Faculty of Economics, University of Tokyo.
- Darrel Duffie & Leandro Saita & Ke Wang, 2005. "Multi-Period Corporate Default Prediction With Stochastic Covariates," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo CARF-F-047, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, American Finance Association, vol. 23(4), pages 589-609, 09.
- Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, Elsevier, vol. 102(2), pages 233-250.
- Giesecke, Kay, 2004. "Correlated default with incomplete information," Journal of Banking & Finance, Elsevier, vol. 28(7), pages 1521-1545, July.
- Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
- Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-24, January.
- Sudheer Chava & Catalina Stefanescu & Stuart Turnbull, 2011. "Modeling the Loss Distribution," Management Science, INFORMS, INFORMS, vol. 57(7), pages 1267-1287, July.
- Giesecke, Kay, 2006. "Default and information," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 30(11), pages 2281-2303, November.
- Duffie, Darrell & Lando, David, 2001. "Term Structures of Credit Spreads with Incomplete Accounting Information," Econometrica, Econometric Society, Econometric Society, vol. 69(3), pages 633-64, May.
- Duan, Jin-Chuan & Sun, Jie & Wang, Tao, 2012. "Multiperiod corporate default predictionâ€”A forward intensity approach," Journal of Econometrics, Elsevier, Elsevier, vol. 170(1), pages 191-209.
- X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, American Finance Association, vol. 61(1), pages 105-137, 02.
- Hayne E. Leland and Klaus Bjerre Toft., 1995.
"Optimal Capital Structure, Endogenous Bankruptcy, and the Term Structure of Credit Spreads,"
Research Program in Finance Working Papers, University of California at Berkeley
RPF-259, University of California at Berkeley.
- Leland, Hayne E & Toft, Klaus Bjerre, 1996. " Optimal Capital Structure, Endogenous Bankruptcy, and the Term Structure of Credit Spreads," Journal of Finance, American Finance Association, American Finance Association, vol. 51(3), pages 987-1019, July.
- Hilscher, Jens Dietrich & Campbell, John Y. & Szilagyi, Jan, 2011. "Predicting Financial Distress and the Performance of Distressed Stocks," Scholarly Articles 9887619, Harvard University Department of Economics.
- Lin, Chen & Ma, Yue & Xuan, Yuhai, 2011. "Ownership structure and financial constraints: Evidence from a structural estimation," Journal of Financial Economics, Elsevier, Elsevier, vol. 102(2), pages 416-431.
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