IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper

Forecasting the Fragility of the Banking and Insurance Sector

  • Kerstin Bernoth
  • Andreas Pick

This paper considers the issue of forecasting financial fragility of banks and insurances using a panel data set of performance indicators, namely distance-to- default, taking unobserved common factors into account. We show that common factors are important in the performance of banks and insurances, analyze the influences of a number of observable factors on banking and insurance performance, and evaluate the forecasts from our model. We find that taking unobserved common factors into account reduces the the root mean square forecasts error of firm specific forecasts by up to 11% and of system forecasts by up to 29% relative to a model based only on observed variables. Estimates of the factor loadings suggest that the correlation of financial institutions has been relatively stable over the forecast period.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.97596.de/dp882.pdf
Download Restriction: no

Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 882.

as
in new window

Length: 27 p.
Date of creation: 2009
Date of revision:
Handle: RePEc:diw:diwwpp:dp882
Contact details of provider: Postal:
Mohrenstraße 58, D-10117 Berlin

Phone: xx49-30-89789-0
Fax: xx49-30-89789-200
Web page: http://www.diw.de/en
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Gurnain Kaur Pasricha, 2009. "Bank Competition and International Financial Integration: Evidence using a new index," FIW Working Paper series 037, FIW.
  2. Ho, Tai-Kuang & von Hagen, Jürgen, 2004. "Money Market Pressure and the Determinants of Banking Crises," CEPR Discussion Papers 4651, C.E.P.R. Discussion Papers.
  3. Merton, Robert C., 1973. "On the pricing of corporate debt: the risk structure of interest rates," Working papers 684-73., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  4. Shiu, Y., 2004. "Determinants of United Kingdom General Insurance Company Performance," British Actuarial Journal, Cambridge University Press, vol. 10(05), pages 1079-1110, December.
  5. 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.
  6. Graciela L. Kaminsky & Carmen M. Reinhart, 1996. "The twin crises: the causes of banking and balance-of-payments problems," International Finance Discussion Papers 544, Board of Governors of the Federal Reserve System (U.S.).
  7. de Bandt, Olivier & Hartmann, Philipp, 2000. "Systemic Risk: A Survey," CEPR Discussion Papers 2634, C.E.P.R. Discussion Papers.
  8. Asquith, Paul & Mullins, David W, Jr, 1983. "The Impact of Initiating Dividend Payments on Shareholders' Wealth," The Journal of Business, University of Chicago Press, vol. 56(1), pages 77-96, January.
  9. Pesaran, M.H. & Pick, A., 2004. "Econometric Issues in the Analysis of Contagion," Cambridge Working Papers in Economics 0402, Faculty of Economics, University of Cambridge.
  10. J.A. Bikker & Haixia Hu, 2001. "Cyclical patterns in profits provisioning and lending of banks and procyclicality of the new basel capital requirements," Research Series Supervision (discontinued) 39, Netherlands Central Bank, Directorate Supervision.
  11. Carling, Kenneth & Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2007. "Corporate credit risk modeling and the macroeconomy," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 845-868, March.
  12. Michaely, Roni & Thaler, Richard H & Womack, Kent L, 1995. " Price Reactions to Dividend Initiations and Omissions: Overreaction or Drift?," Journal of Finance, American Finance Association, vol. 50(2), pages 573-608, June.
  13. Marco Stringa & Allan Monks, 2007. "Inter-industry contagion between UK life insurers and UK banks: an event study," Bank of England working papers 325, Bank of England.
  14. Tang, Dragon Yongjun & Yan, Hong, 2010. "Market conditions, default risk and credit spreads," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 743-753, April.
  15. M. Hashem Pesaran & Til Schuermann & Scott M. Weiner, 2002. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Center for Financial Institutions Working Papers 01-38, Wharton School Center for Financial Institutions, University of Pennsylvania.
  16. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
  17. Gorton, Gary, 1988. "Banking Panics and Business Cycles," Oxford Economic Papers, Oxford University Press, vol. 40(4), pages 751-81, December.
  18. Gropp, Reint & Moerman, Gerard, 2003. "Measurement of contagion in banks' equity prices," Working Paper Series 0297, European Central Bank.
  19. Uhde, André & Heimeshoff, Ulrich, 2009. "Consolidation in banking and financial stability in Europe: empirical evidence," FAU Discussion Papers in Economics 02/2009, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  20. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 239-253.
  21. Jonas Dovern & Carsten-Patrick Meier & Johannes Vilsmeier, 2008. "How Resilient is the German Banking System to Macroeconomic Shocks?," Kiel Working Papers 1419, Kiel Institute for the World Economy.
  22. Akram, Q. Farooq & Eitrheim, Øyvind, 2008. "Flexible inflation targeting and financial stability: Is it enough to stabilize inflation and output?," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1242-1254, July.
  23. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
  24. Berg, Andrew & Pattillo, Catherine, 1999. "Predicting currency crises:: The indicators approach and an alternative," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 561-586, August.
  25. Allen, Franklin & Carletti, Elena, 2005. "Credit risk transfer and contagion," CFS Working Paper Series 2005/25, Center for Financial Studies (CFS).
  26. Gropp, Reint & Vesala, Jukka & Vulpes, Giuseppe, 2002. "Equity and bond market signals as leading indicators of bank fragility," Working Paper Series 0150, European Central Bank.
  27. Asli Demirgüç-Kunt & Enrica Detragiache, 1998. "The Determinants of Banking Crises in Developing and Developed Countries," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 81-109, March.
  28. M. Hashem Pesaran & Til Schuermann & L. Vanessa Smith, 2008. "Forecasting economic and financial variables with global VARs," Staff Reports 317, Federal Reserve Bank of New York.
  29. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting using a large number of predictors: is Bayesian regression a valid alternative to principal components?," Discussion Paper Series 1: Economic Studies 2006,32, Deutsche Bundesbank, Research Centre.
  30. Hali J. Edison, 2000. "Do indicators of financial crises work? an evaluation of an early warning system," International Finance Discussion Papers 675, Board of Governors of the Federal Reserve System (U.S.).
  31. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
  32. M. Hashem Pesaran, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," CESifo Working Paper Series 1229, CESifo Group Munich.
  33. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency crashes in emerging markets: An empirical treatment," Journal of International Economics, Elsevier, vol. 41(3-4), pages 351-366, November.
  34. Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
  35. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 120(1), pages 387-422.
  36. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, 07.
  37. Kumar, Mohan & Moorthy, Uma & Perraudin, William, 2003. "Predicting emerging market currency crashes," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 427-454, September.
  38. 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.
  39. Maria Vassalou & Yuhang Xing, 2004. "Default Risk in Equity Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 831-868, 04.
  40. Amer Demirovic & Dylan Thomas, 2007. "The Relevance of Accounting Data in the Measurement of Credit Risk," The European Journal of Finance, Taylor & Francis Journals, vol. 13(3), pages 253-268.
  41. Jorge A. Chan-Lau & Toni Gravelle, 2005. "The END; A New Indicator of Financial and Nonfinancial Corporate Sector Vulnerability," IMF Working Papers 05/231, International Monetary Fund.
  42. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
  43. Arnaud Jobert & Janet Kong & Jorge A. Chan-Lau, 2004. "An Option-Based Approach to Bank Vulnerabilities in Emerging Markets," IMF Working Papers 04/33, International Monetary Fund.
  44. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Rejoinder to comments on forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 703-715, October.
  45. Koetter, Michael & Poghosyan, Tigran, 2009. "The identification of technology regimes in banking: Implications for the market power-fragility nexus," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1413-1422, August.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:diw:diwwpp:dp882. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bibliothek)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.