IDEAS home Printed from https://ideas.repec.org/p/irn/wpaper/13-02.html
   My bibliography  Save this paper

Optimal Weights and Stress Banking Indexes

Author

Listed:
  • Stefano Puddu

Abstract

The goal of this paper is to provide alternative approaches to generate indexes in order to assess banking distress. Specifically, we focus on two groups of indexes that are based on the signalling approach and on the zero in ated Poisson models. The results show that the indexes based on these approaches perform better than those constructed by using the variance-equal and the factor analysis methods. Specifically, they are better at capturing relevant events, signalling distress episodes and forecasting properties. The importance of this study is two-fold: first, we contribute extra information that can be useful for forecasting banking system soundness in the aim of preventing future financial crises; second we provide alternative methods for measuring banking distress.

Suggested Citation

  • Stefano Puddu, 2013. "Optimal Weights and Stress Banking Indexes," IRENE Working Papers 13-02, IRENE Institute of Economic Research.
  • Handle: RePEc:irn:wpaper:13-02
    as

    Download full text from publisher

    File URL: ftp://sitelftp.unine.ch/RePEc/irn/pdfs/WP13-02.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Mario Quagliariello, "undated". "Banks' Performance over the Business Cycle: A Panel Analysis on Italian Intermediaries," Discussion Papers 04/17, Department of Economics, University of York.
    2. Eichengreen, Barry & Arteta, Carlos, 2000. "Banking Crises in Emerging Markets: Presumptions and Evidence," Center for International and Development Economics Research, Working Paper Series qt3pk9t1h2, Center for International and Development Economics Research, Institute for Business and Economic Research, UC Berkeley.
    3. Eliana Balla & Andrew McKenna, 2009. "Dynamic provisioning: a countercyclical tool for loan loss reserves," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 383-418.
    4. Morris Goldstein & Graciela Kaminsky & Carmen Reinhart, 2017. "Methodology and Empirical Results," World Scientific Book Chapters,in: TRADE CURRENCIES AND FINANCE, chapter 11, pages 397-436 World Scientific Publishing Co. Pte. Ltd..
    5. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    6. Marcucci, Juri & Quagliariello, Mario, 2008. "Is bank portfolio riskiness procyclical: Evidence from Italy using a vector autoregression," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(1), pages 46-63, February.
    7. Santiago Carbo Valverdie & David Humphrey & Francisco Rodriguez Fernandez, 2003. "Deregulation, Bank Competition and Regional Growth," Regional Studies, Taylor & Francis Journals, vol. 37(3), pages 227-237.
    8. Maudos, Joaquin & Fernandez de Guevara, Juan, 2004. "Factors explaining the interest margin in the banking sectors of the European Union," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2259-2281, September.
    9. Mark Illing & Ying Liu, 2003. "An Index of Financial Stress for Canada," Staff Working Papers 03-14, Bank of Canada.
    10. Allen, Linda, 1988. "The Determinants of Bank Interest Margins: A Note," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(02), pages 231-235, June.
    11. Saunders, Anthony & Schumacher, Liliana, 2000. "The determinants of bank interest rate margins: an international study," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 813-832, December.
    12. Miguel Morales & Dairo Estrada, 2010. "A financial stability index for Colombia," Annals of Finance, Springer, vol. 6(4), pages 555-581, October.
    13. Ho, Thomas S. Y. & Saunders, Anthony, 1981. "The Determinants of Bank Interest Margins: Theory and Empirical Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(04), pages 581-600, November.
    14. Manove, Michael & Padilla, A Jorge & Pagano, Marco, 2001. "Collateral versus Project Screening: A Model of Lazy Banks," RAND Journal of Economics, The RAND Corporation, vol. 32(4), pages 726-744, Winter.
    15. 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.
    16. Carbo Valverde, Santiago & Rodriguez Fernandez, Francisco, 2007. "The determinants of bank margins in European banking," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2043-2063, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mirna Dumičić, 2014. "Financial Stress Indicators for Small, Open, Highly Euroised Countries – the Case of Croatia," Working Papers 41, The Croatian National Bank, Croatia.
    2. Dairo Estrada & Miguel Ángel Morales Mosquera, 2009. "Indice de Estabilidad Financiera para Colombia," Temas de Estabilidad Financiera 038, Banco de la Republica de Colombia.
    3. Thomas Kick & Nadya Jahn, 2014. "Early Warning Indicators for the German Banking System: A Macroprudential Analysis," Credit and Capital Markets, Credit and Capital Markets, vol. 47(1), pages 5-47.
    4. Miguel Morales & Dairo Estrada, 2010. "A financial stability index for Colombia," Annals of Finance, Springer, vol. 6(4), pages 555-581, October.
    5. MacDonald, Ronald & Sogiakas, Vasilios & Tsopanakis, Andreas, 2015. "An investigation of systemic stress and interdependencies within the Eurozone and Euro Area countries," Economic Modelling, Elsevier, vol. 48(C), pages 52-69.
    6. repec:ipf:finteo:v:39:y:2015:i:3:p:171-203 is not listed on IDEAS

    More about this item

    Keywords

    Stress-banking indexes; Signalling approach; Limited dependent variable methods;

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:irn:wpaper:13-02. 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: (Sylvain Weber). General contact details of provider: http://edirc.repec.org/data/irenech.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.