Estimating probabilities of default with support vector machines
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- Härdle, Wolfgang Karl & Moro, Rouslan A. & Schäfer, Dorothea, 2007. "Estimating probabilities of default with support vector machines," Discussion Paper Series 2: Banking and Financial Studies 2007,18, Deutsche Bundesbank.
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Cited by:
- Natalia Nehrebecka, 2021. "Internal Credit Risk Models and Digital Transformation: What to Prepare for? An Application to Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 719-736.
- Tyler Pike & Horacio Sapriza & Tom Zimmermann, 2019. "Bottom-up Leading Macroeconomic Indicators: An Application to Non-Financial Corporate Defaults using Machine Learning," Finance and Economics Discussion Series 2019-070, Board of Governors of the Federal Reserve System (U.S.).
- Wolfgang Härdle & Yuh-Jye Lee & Dorothea Schäfer & Yi-Ren Yeh, 2009. "Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 512-534.
- repec:diw:diwwpp:dp757 is not listed on IDEAS
- Nehrebecka Natalia, 2018. "Predicting the Default Risk of Companies. Comparison of Credit Scoring Models: Logit Vs Support Vector Machines," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(2), pages 54-73, June.
- Zhang, Junni L. & Härdle, Wolfgang Karl, 2008. "The bayesian additive classification tree applied to credit risk modelling," SFB 649 Discussion Papers 2008-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- repec:hum:wpaper:sfb649dp2008-005 is not listed on IDEAS
- Jakubik, Petr & Moinescu, Bogdan, 2015. "Assessing optimal credit growth for an emerging banking system," Economic Systems, Elsevier, vol. 39(4), pages 577-591.
- repec:hum:wpaper:sfb649dp2008-003 is not listed on IDEAS
- Wolfgang Härdle & Yuh-Jye Lee & Dorothea Schäfer & Yi-Ren Yeh, 2007.
"The Default Risk of Firms Examined with Smooth Support Vector Machines,"
Discussion Papers of DIW Berlin
757, DIW Berlin, German Institute for Economic Research.
- Härdle, Wolfgang Karl & Lee, Yuh-Jye & Schäfer, Dorothea & Yeh, Yi-Ren, 2008. "The default risk of firms examined with smooth support vector machines," SFB 649 Discussion Papers 2008-005, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
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More about this item
Keywords
Bankruptcy; Company rating; Default probability; Support vector machines;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BEC-2007-06-11 (Business Economics)
- NEP-ECM-2007-06-11 (Econometrics)
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