IDEAS home Printed from https://ideas.repec.org/p/zbw/bubdp2/5576.html
   My bibliography  Save this paper

Diversification and the banks' risk-return-characteristics: evidence from loan portfolios of German banks

Author

Listed:
  • Behr, Andreas
  • Kamp, Andreas
  • Memmel, Christoph
  • Pfingsten, Andreas

Abstract

Banks face a tradeoff between diversifying and focusing their loan portfolio. In this paper we carry out an empirical study for the German market to shed light on the question whether or not the benefits of risk sharing outweigh those of specialization. We use data from the Bundesbank's quarterly borrowers statistic to determine the degree of diversification in the banks' loan portfolios and combine this data with the banks' balance sheets and audit reports. The unique database comprises data from all German banks during the period from 1993 to 2003. Our main results can be summarized in three statements: i) Specialized banks have a slightly higher return than diversified banks. ii) Specialized banks have lower relative loan loss provisions and lower shares of non-performing loans, iii) However, the standard deviations of the loan loss provision ratio and the non-performing loan ratio are lower for diversified banks.

Suggested Citation

  • Behr, Andreas & Kamp, Andreas & Memmel, Christoph & Pfingsten, Andreas, 2007. "Diversification and the banks' risk-return-characteristics: evidence from loan portfolios of German banks," Discussion Paper Series 2: Banking and Financial Studies 2007,05, Deutsche Bundesbank.
  • Handle: RePEc:zbw:bubdp2:5576
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/19764/1/200705dkp_b_.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Cole, Rebel A. & Gunther, Jeffery W., 1995. "Separating the likelihood and timing of bank failure," Journal of Banking & Finance, Elsevier, vol. 19(6), pages 1073-1089, September.
    2. Sinkey, Joseph F, Jr, 1975. "A Multivariate Statistical Analysis of the Characteristics of Problem Banks," Journal of Finance, American Finance Association, vol. 30(1), pages 21-36, March.
    3. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2007. "Learning, Structural Instability, and Present Value Calculations," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 253-288.
    4. DeYoung, Robert, 2003. "The failure of new entrants in commercial banking markets: a split-population duration analysis," Review of Financial Economics, Elsevier, vol. 12(1), pages 7-33.
    5. Michael Koetter, 2006. "Measurement Matters—Alternative Input Price Proxies for Bank Efficiency Analyses," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(2), pages 199-227, October.
    6. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    7. Oosterloo, Sander & de Haan, Jakob & Jong-A-Pin, Richard, 2007. "Financial stability reviews: A first empirical analysis," Journal of Financial Stability, Elsevier, vol. 2(4), pages 337-355, March.
    8. DeYoung, Robert, et al, 2001. "The Information Content of Bank Exam Ratings and Subordinated Debt Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(4), pages 900-925, November.
    9. Daniel Porath, 2006. "Estimating probabilities of default for German savings banks and credit cooperatives," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 58(3), pages 214-233, July.
    10. Arturo Estrella & Sangkyun Park & Stavros Peristiani, 2000. "Capital ratios as predictors of bank failure," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 33-52.
    11. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    12. Clark, Jeffrey A & Siems, Thomas F, 2002. "X-Efficiency in Banking: Looking beyond the Balance Sheet," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(4), pages 987-1013, November.
    13. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    14. Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
    15. Altman, Edward I., 1977. "Predicting performance in the savings and loan association industry," Journal of Monetary Economics, Elsevier, vol. 3(4), pages 443-466, October.
    16. Focarelli, Dario & Panetta, Fabio & Salleo, Carmelo, 2002. "Why Do Banks Merge?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(4), pages 1047-1066, November.
    17. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    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. Meslier, Céline & Tacneng, Ruth & Tarazi, Amine, 2014. "Is bank income diversification beneficial? Evidence from an emerging economy," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 97-126.
    2. Jahn, Nadya & Memmel, Christoph & Pfingsten, Andreas, 2013. "Banks' concentration versus diversification in the loan portfolio: New evidence from Germany," Discussion Papers 53/2013, Deutsche Bundesbank.
    3. Rossi, Stefania P.S. & Schwaiger, Markus S. & Winkler, Gerhard, 2009. "How loan portfolio diversification affects risk, efficiency and capitalization: A managerial behavior model for Austrian banks," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2218-2226, December.
    4. Sawada, Michiru, 2011. "How does the stock market value bank diversification? Empirical evidence from Japanese banks," MPRA Paper 45852, University Library of Munich, Germany, revised Nov 2012.
    5. Busch, Ramona & Kick, Thomas, 2009. "Income diversification in the German banking industry," Discussion Paper Series 2: Banking and Financial Studies 2009,09, Deutsche Bundesbank, Research Centre.
    6. 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.
    7. Memmel, Christoph & Gündüz, Yalin & Raupach, Peter, 2015. "The common drivers of default risk," Journal of Financial Stability, Elsevier, pages 232-247.
    8. Kyle Moore & Chen Zhou, 2012. "Identifying systemically important financial institutions: size and other determinants," DNB Working Papers 347, Netherlands Central Bank, Research Department.
    9. Gann, Philipp & Kretzschmar, Anne & Rudolph, Bernd, 2010. "Determinanten der Eigenkapitalrendite von Sparkassen," Discussion Papers in Business Administration 11786, University of Munich, Munich School of Management.
    10. Andrew C. Worthington, 2009. "Household Asset Portfolio Diversification: Evidence from the Household, Income and Labour Dynamics in Australia (HILDA) Survey," Discussion Papers in Finance finance:200908, Griffith University, Department of Accounting, Finance and Economics.

    More about this item

    Keywords

    bank lending; loan portfolio; portfolio theory; diversification; riskreturn analysis;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:zbw:bubdp2:5576. 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: (ZBW - German National Library of Economics). General contact details of provider: http://edirc.repec.org/data/dbbgvde.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.

    We have no references for this item. You can help adding them by using 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.