The Interaction of Borrower and Loan Characteristics in Predicting Risks of Subprime Automobile Loans
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- Rajan, Uday & Seru, Amit & Vig, Vikrant, 2015.
"The failure of models that predict failure: Distance, incentives, and defaults,"
Journal of Financial Economics, Elsevier, vol. 115(2), pages 237-260.
- Seru, Amit & Rajan, Uday & Vig, Vikrant, 2015. "The Failure of Models That Predict Failure: Distance, Incentives, and Defaults," Research Papers 3464, Stanford University, Graduate School of Business.
- Evžen Kocenda & Martin Vojtek, 2011.
"Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data,"
Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(6), pages 80-98, November.
- Evžen Kocenda & Martin Vojtek, 2009. "Default Predictors and Credit Scoring Models for Retail Banking," CESifo Working Paper Series 2862, CESifo.
- Evzen Kocenda & Martin Vojtek, 2011. "Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data," William Davidson Institute Working Papers Series wp1015, William Davidson Institute at the University of Michigan.
- Peter Chinloy, 1995. "Privatized Default Risk and Real Estate Recessions: The U.K. Mortgage Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(4), pages 401-420, December.
- Gene Amromin & Anna L. Paulson, 2009. "Comparing patterns of default among prime and subprime mortgages," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 33(Q II), pages 18-37.
- William Adams & Liran Einav & Jonathan Levin, 2009.
"Liquidity Constraints and Imperfect Information in Subprime Lending,"
American Economic Review, American Economic Association, vol. 99(1), pages 49-84, March.
- William Adams & Liran Einav & Jonathan Levin, 2007. "Liquidity Constraints and Imperfect Information in Subprime Lending," NBER Working Papers 13067, National Bureau of Economic Research, Inc.
- Dominique Guegan & Peter Martey Addo & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01835164, HAL.
- Daglish, Toby, 2009. "What motivates a subprime borrower to default?," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 681-693, April.
- Dominique Guegan, 2018. "Credit Risk Analysis Using machine and Deep Learning Models," Post-Print halshs-01889154, HAL.
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep learning models," Working Papers 2018:08, Department of Economics, University of Venice "Ca' Foscari".
- Yaseen Ghulam & Sophie Hill, 2017. "Distinguishing between Good and Bad Subprime Auto Loans Borrowers: The Role of Demographic, Region and Loan Characteristics," Review of Economics & Finance, Better Advances Press, Canada, vol. 10, pages 49-62, November.
- Yuliya Demyanyk & Otto Van Hemert, 2011.
"Understanding the Subprime Mortgage Crisis,"
The Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 1848-1880.
- Yuliya Demyanyk & Otto van Hemert, 2009. "Understanding the subprime mortgage crisis," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
- Yuliya Demyanyk & Otto van Hemert, 2008. "Understanding the subprime mortgage crisis," Proceedings 1092, Federal Reserve Bank of Chicago.
- Bonfim, Diana, 2009.
"Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics,"
Journal of Banking & Finance, Elsevier, vol. 33(2), pages 281-299, February.
- Diana Bonfim, 2007. "Credit Risk Drivers: Evaluating the Contribution of Firm Level Information and of Macroeconomic Dynamics," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
- Diana Bonfim, 2007. "Credit Risk Drivers: Evaluating the Contribution of Firm Level Information and of Macroeconomic Dynamics," Working Papers w200707, Banco de Portugal, Economics and Research Department.
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep Learning models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01719983, HAL.
- Ondřej Dvouletý, 2017. "Effects of Soft Loans and Credit Guarantees on Performance of Supported Firms: Evidence from the Czech Public Programme START," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
- Sumit Agarwal & Brent W. Ambrose & Souphala Chomsisengphet, 2008. "Determinants of automobile loan default and prepayment," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 32(Q III), pages 17-28.
- Kasper Roszbach, 2004.
"Bank Lending Policy, Credit Scoring, and the Survival of Loans,"
The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 946-958, November.
- Roszbach, Kasper, 1998. "Bank Lending Policy, Credit Scoring and the Survival of Loans," SSE/EFI Working Paper Series in Economics and Finance 261, Stockholm School of Economics.
- Roszbach, Kasper, 2003. "Bank Lending Policy, Credit Scoring and the Survival of Loans," Working Paper Series 154, Sveriges Riksbank (Central Bank of Sweden).
- Marshall, Andrew & Tang, Leilei & Milne, Alistair, 2010. "Variable reduction, sample selection bias and bank retail credit scoring," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 501-512, June.
- Dominique Guegan & Peter Martey Addo & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Post-Print halshs-01835164, HAL.
- Liran Einav & Mark Jenkins & Jonathan Levin, 2012. "Contract Pricing in Consumer Credit Markets," Econometrica, Econometric Society, vol. 80(4), pages 1387-1432, July.
- Dominique Guegan, 2018. "Credit Risk Analysis Using machine and Deep Learning Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01889154, HAL.
- Christopher Mayer & Karen Pence & Shane M. Sherlund, 2009.
"The Rise in Mortgage Defaults,"
Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 27-50, Winter.
- Christopher J. Mayer & Karen M. Pence & Shane M. Sherlund, 2008. "The rise in mortgage defaults," Finance and Economics Discussion Series 2008-59, Board of Governors of the Federal Reserve System (U.S.).
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep Learning models," Post-Print halshs-01719983, HAL.
- M Malik & L C Thomas, 2010. "Modelling credit risk of portfolio of consumer loans," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 411-420, March.
- Howard Lax & Michael Manti & Paul Raca & Peter Zorn, 2004. "Subprime lending: An investigation of economic efficiency," Housing Policy Debate, Taylor & Francis Journals, vol. 15(3), pages 533-571.
- Peter Martey Addo & Dominique Guégan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep learning models," Documents de travail du Centre d'Economie de la Sorbonne 18003, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- T. Gregory Morton, 1975. "A Discriminant Function Analysis of Residential Mortgage Delinquency and Foreclosure," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 3(1), pages 73-88, March.
- Khaled Halteh & Kuldeep Kumar & Adrian Gepp, 2018. "Using Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk," Risks, MDPI, vol. 6(2), pages 1-13, May.
- George M. von Furstenberg & R. Jeffrey Green, 1974. "Estimation of Delinquency Risk for Home Mortgage Portfolios," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 2(1), pages 5-19, March.
- Danis, Michelle A. & Pennington-Cross, Anthony, 2008.
"The delinquency of subprime mortgages,"
Journal of Economics and Business, Elsevier, vol. 60(1-2), pages 67-90.
- Michelle A. Danis & Anthony Pennington-Cross, 2005. "The delinquency of subprime mortgages," Working Papers 2005-022, Federal Reserve Bank of St. Louis.
- Dennis Capozza & Thomas Thomson, 2006. "Subprime Transitions: Lingering or Malingering in Default?," The Journal of Real Estate Finance and Economics, Springer, vol. 33(3), pages 241-258, November.
- Agarwal, Sumit & Chomsisengphet, Souphala & Liu, Chunlin, 2011. "Consumer bankruptcy and default: The role of individual social capital," Journal of Economic Psychology, Elsevier, vol. 32(4), pages 632-650, August.
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Risks, MDPI, vol. 6(2), pages 1-20, April.
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Keywords
defaults; arrears; subprime loans; credit risk; interaction;All these keywords.
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