Skip to main content
Log in

The Czech transition banking sector instability: the role of operational cost management

  • Published:
Economic Change and Restructuring Aims and scope Submit manuscript

Abstract

In this article we show—using the estimated cost efficiency of banks—that besides the risk (proxied by the share of non-performing loans), the quality of operational cost management was an equally important determinant of bank failure risk during the decade of banking sector transformation in the Czech Republic.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. An institution wholly owned by Konsolidační banka (Consolidation Bank). Konsolidační banka had the unique remit of managing non-performing loans. This bank was created in 1993 and was converted into Konsolidační Agentura (Consolidation Agency) at the start of 2001.

  2. Since the period under analysis was characterized by bank mergers, failures, and entries, standardized treatment of these events was required. Bank mergers were treated as follows: from the year of occurrence of the merger onwards, the bank resulting from the merger was considered as a single joint-bank (i.e., the data for the banks in the merger were consolidated in the year of the merger). Banks that failed within a particular year were considered as not operating for the whole year. For periods where some quarters of data for a bank were missing, the bank was excluded from the sample.

  3. By ignoring prices, technological efficiency (as in the nonparametric methods) limits the consideration to too little output or too much input.

  4. The application of the fixed effects estimator is appropriate given our short data sample, since for large data samples the fixed effects estimator converges asymptotically to the random effects estimator.

  5. While the Cobb–Douglas function would be too simple, the Fourier transformation would be unnecessarily complicated (see Bikker 2004).

  6. Some studies include the factor share equations derived from Shepard’s lemma (Mester 1996). However, following Berger (1993), we are aware that including share equations would impose unnecessarily ex ante restriction of the allocative efficiency of the given input proportions. Nevertheless, Berger (1993) concludes that there are no significant differences between the results of estimates without share equations and those with share equations (the fully restricted specification).

  7. We did not exclude non-performing loans, as their maintenance is costly, which might have consequences for measures of cost efficiency. For the purposes of studying the relationship between cost efficiency and failure, this approach to non-performing loans has been taken by the mainstream of the literature, for instance Wheelock and Wilson (2000).

  8. Besides the usual industrial and commercial loans, real estate loans, and loans to individuals, total loans also comprise interbank market loans. This is motivated by the fact that in the Czech banking sector interbank loans represent a significant share of total bank loans. Loans to other banks and to the central bank accounted on average for 30% of total loans over 1994–2002. Moreover, as Dinger and von Hagen (2003) claim, the Czech banking sector operates as a two-tier system in which the interbank market is an important source of financing for small banks. In these conditions, excluding the interbank market would imply that cost efficiency would be systematically biased upward for the small banks.

  9. Nominal data were deflated by the GDP deflator with the 1994 average as the base.

References

  • Barr R, Siems T (1994) Predicting bank failure using DEA to quantify management quality. Federal Reserve Bank of Dallas Financial Industry Studies, working paper no. 1–94

  • Bauer P, Berger A, Ferrier G, Humphrey D (1998) Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods. J Econ Bus 50:85–114. doi:10.1016/S0148-6195(97)00072-6

    Article  Google Scholar 

  • BCBS (Basel Committee on Banking Supervision) (1997) Core principles for effective banking supervision. http://www.bis.org/publ/bcbs30a.pdf. Accessed Nov 2007

  • Berger A (1993) Distribution-free estimates of efficiency in the U.S. banking industry and tests of the standard distributional assumptions. J Prod Anal 4:261–292. doi:10.1007/BF01073413

    Article  Google Scholar 

  • Berger A, Humphrey D (1997) Efficiency of financial institutions: international survey and directions for further research. Eur J Oper Res 98:175–212. doi:10.1016/S0377-2217(96)00342-6

    Article  Google Scholar 

  • Bikker JA (2004) Competition and efficiency in a unified European banking market. E. E. Publishing Inc., UK

    Google Scholar 

  • Cole RA, Cornyn BG, Gunther JW (1995) FIMS: a new monitoring system for banking institutions. Fed Reserve Bull 81:1–15

    Google Scholar 

  • Cox DR (1972) Regression models and life tables. J R Stat Soc Ser A 34:187–220

    Google Scholar 

  • CNB (1996) Banking supervision in the Czech Republic. Czech National Bank, Prague

    Google Scholar 

  • DeYoung R (1997) A diagnostic test for the distribution-free efficiency estimator: an example using U.S. commercial bank data. Eur J Oper Res 98(2):243–249. doi:10.1016/S0377-2217(96)00345-1

    Article  Google Scholar 

  • Dinger V, von Hagen J (2003) Bank structure and profitability in Central and Eastern European Countries. Paper prepared for IAES conference, Lisbon

  • Fried H, Lovell CAK, Schmidt S (1993) The measurement of productive efficiency. Techniques and applications. Oxford University Press, New York

    Google Scholar 

  • Gilbert RA, Meyer AP, Vaughan MD (2000) The role of a CAMEL downgrade model in bank surveillance. Federal Reserve Bank of St. Louis,. working paper series, WP 2000-021A

  • International Monetary Fund (2005) Internal documents for the article IV mission in the Czech Republic

  • Kasman A (2005) Efficiency and scale economies in transition economies: evidence from Poland and the Czech Republic. Emerg Mark Finance Trade 41(2):60–81

    Google Scholar 

  • Kumbhakar S, Lovell CAK (2000) Stochastic frontier analysis. Cambridge University Press

  • Lane WR, Looney SW, Wansley JW (1986) An application of the cox proportional hazards model to bank failure. J Bank Finance 10:511–531

    Article  Google Scholar 

  • Matoušek R, Taci A (2004) Efficiency in banking: empirical evidence from the Czech Republic. Econ Plann 37:225–244

    Google Scholar 

  • Mester L (1996) A study of bank efficiency taking into account risk preferences. J Bank Finance 20:1025–1045. doi:10.1016/0378-4266(95)00047-X

    Article  Google Scholar 

  • Shumway T (2001) Forecasting bankruptcy more accurately: a simple hazard model. J Bus 74(1):101–124. doi:10.1086/209665

    Article  Google Scholar 

  • Wachtel P, Haselmann R (2007) Risk taking by banks in the transition countries, working papers 07-18, New York University

  • Weill L (2003) Banking efficiency in transition economies: the role of foreign ownership. Econ Transit 11(3):569–592. doi:10.1111/1468-0351.00155

    Article  Google Scholar 

  • Whalen G (1991) A proportional hazards model of bank failure: an examination of its usefulness as an early warning tool. Fed Reserve Bank Cleveland Econ Rev First Quarter:21–31

  • Wheelock D, Wilson P (2000) Why do banks disappear? The determinants of US bank failures and acquisitions. Rev Econ Stat 82(1):127–138. doi:10.1162/003465300558560

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiří Podpiera.

Additional information

This research was produced within the Czech National Bank’s research project framework. The opinions expressed in this article are those of the authors and are not necessarily endorsed by the Czech National Bank.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pruteanu-Podpiera, A., Podpiera, J. The Czech transition banking sector instability: the role of operational cost management. Econ Change Restruct 41, 209–219 (2008). https://doi.org/10.1007/s10644-008-9049-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10644-008-9049-1

Keywords

JEL Classification

Navigation