Skip to main content

Model Futility and Dynamic Boundaries with Application in Banking Default Risk Modeling

  • Conference paper
  • 1460 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4614))

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. van Deventer, D., Imai, K.: Credit Risk Models and The Basel Accords. John Wiley & Sons, Asia (2003)

    Google Scholar 

  2. Dwyer, D.W.: Examples of Overfitting Encountered When Building Private Firm Default Prediction Models, April 12, 2005. Moody’s KMV Working Paper (2005)

    Google Scholar 

  3. Caouette, J.B., Altman, E.I., Narayanan, P.: Managing Credit Risk: The Next Great Financial Challenge. John Wiley & Sons, New York (1998)

    Google Scholar 

  4. Ross, S.M.: Stochastic Processes, 2nd edn. John Wiley & Sons, New York (1983)

    MATH  Google Scholar 

  5. Moyé, L.A.: Statistical Monitoring of Clinical Trials: Fundamentals for Investigators. Springer, Heidelberg (2005)

    Google Scholar 

  6. O’Brien, P.C., Fleming, T.R.: A multiple testing precdure for clinlical trials. Biometrics 35, 549–556 (1979)

    Article  Google Scholar 

  7. Lan, K.K., DeMets, D.L.: Discrete Sequential Boundaries for Clinical Trials. Biometrics 70, 659–663 (1983)

    MATH  MathSciNet  Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. Ohlson: Financial Ratios and the Probabilistic Prediction of Bankruptcy. Accounting Research 18, 109–131 (1980)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Bo Chen Mike Paterson Guochuan Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • 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

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics