Abstract
This paper presents a novel concept of model futility to capture the dynamic feature of modeling risk. Three key components, monitoring statistic, possibility of being futile and futility boundaries are specified. We apply this approach in banking default risk modeling monitoring to solve the optimal pairing ratio problem. Its effectiveness and efficiency are demonstrated by comparison with testing approach which is currently prevailing in banking models validation.
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References
van Deventer, D., Imai, K.: Credit Risk Models and The Basel Accords. John Wiley & Sons, Asia (2003)
Dwyer, D.W.: Examples of Overfitting Encountered When Building Private Firm Default Prediction Models, April 12, 2005. Moody’s KMV Working Paper (2005)
Caouette, J.B., Altman, E.I., Narayanan, P.: Managing Credit Risk: The Next Great Financial Challenge. John Wiley & Sons, New York (1998)
Ross, S.M.: Stochastic Processes, 2nd edn. John Wiley & Sons, New York (1983)
Moyé, L.A.: Statistical Monitoring of Clinical Trials: Fundamentals for Investigators. Springer, Heidelberg (2005)
O’Brien, P.C., Fleming, T.R.: A multiple testing precdure for clinlical trials. Biometrics 35, 549–556 (1979)
Lan, K.K., DeMets, D.L.: Discrete Sequential Boundaries for Clinical Trials. Biometrics 70, 659–663 (1983)
Fleming, T.R., Green, S.J., Harrington, D.P.: Considerations for Monitoring and Evaluating Treatment Effects in Clinical Trials. Controlled Clinical Trials 5, 55–56 (1994)
Ohlson: Financial Ratios and the Probabilistic Prediction of Bankruptcy. Accounting Research 18, 109–131 (1980)
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© 2007 Springer-Verlag Berlin Heidelberg
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Shi, X.J. (2007). Model Futility and Dynamic Boundaries with Application in Banking Default Risk Modeling. In: Chen, B., Paterson, M., Zhang, G. (eds) Combinatorics, Algorithms, Probabilistic and Experimental Methodologies. ESCAPE 2007. Lecture Notes in Computer Science, vol 4614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74450-4_15
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DOI: https://doi.org/10.1007/978-3-540-74450-4_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74449-8
Online ISBN: 978-3-540-74450-4
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