Bank Performance, Efficiency and Ownership in Transition Countries


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Bank Performance, Efficiency and Ownership in Transition Countries

  • John P. Bonin

  • Wesleyan University

  •  Iftekhar Hasan

  • Rensselaer Polytechnic Institute

  •  Paul Wachtel

  • Stern School of Business,

  • New York University


Banking Developments in Transition Countries

  • Rapid evolution from planned economy era

  • Fall in government ownership

  • Greenfield banks

  • Foreign participation

    • High compared to other emerging markets
    • Dramatic increase in late 1990s


Hypotheses explored

  • Banking sectors are becoming more efficient

    • Spillover effects of foreign participation
  • Foreign-owned banks perform better

  • Ownership matters

    • Government vs. Private
    • Foreign vs. Domestic


Related literature

  • On efficiency improvements in transition banking

    • Buch (1997) and (2000), Fries and Taci (2002), Fries, Neven and Seabright (2002), Drakos (2002), Claessens, Demirguc-Kunt, and Huizinga (2001)
  • On importance of ownership

    • IMF(2002), Nikiel and Opiela (2002), Hasan and Marton (2003)


Data

  • Bankscope bank data

    • 11 advanced transition countries (Eastern Europe and the Baltics)
    • Financial statements 1996-2000
    • Ownership information 1999
    • Exclude non-bank intermediaries
  • Total of 830 bank-year observations with financial data and ownership information

    • Country coverage
      • Poland, Croatia, and Hungary ~ 45%
      • Baltics ~ 13%


Ownership Characteristics (of bank observations)

  • Majority Foreign 59%

    • Less than one-half in Croatia, Slovenia and Latvia
  • Majority government 10%

    • Largest in Slovakia 14%
  • Majority private domestic 31%

    • Only Croatia, Slovenia and Latvia above one-half
  • Participation of international institutional investor 10%

    • Bulgaria, Estonia, Romania above 20%


Balance Sheet Characteristics



Efficiency Estimation

  • Stochastic Frontier analysis

  • Profit and Cost efficiency functions

    • Standard translog specification
  • Efficiency measures



Performance compared to overall mean



Performance Measures



Regression analysis of Performance measures

  • Independent variables

    • Log of asset in constant $
    • Fixed effects for year
    • Dummy variables for ownership characteristics
  • Additional robustness tests

    • Balance sheet ratios effects on ROA Ratios to assets of loans, deposits, non-interest expenditures
    • Real GDP growth


Explanations of Performance

  • ROA declines over time – banking becoming more competitive

  • Efficiency improves after 1998

  • Better bank performance in countries with higher growth

  • Larger banks generally less efficient

  • Banks with larger deposit base (retail banks) have lower ROA



Ownership effects on performance

  • Govt. banks less efficient than private

  • Foreign-owned banks more efficient than other private banks in same country

  • Presence of international institutional investors (most frequently EBRD) has important impact



Why do international institutional investors matter?

  • Cherry-picking

    • They successfully choose the most profitable banks for their investment portfolios
  • Technology and Knowledge Transfer

    • Transfers facilitate the development of banks
  • Signaling or Screening

    • Investments provide information about quality of banks
    • Imprimatur of ‘official’ investors attracts customers


Size and year effects (Table 6, cols. 1 & 2)



Ownership Effects (Table 6, columns (1)-(3))



Additional Tests (Table 7, columns (1),(3) and (6))



Conclusions

  • Increased foreign participation leads to more efficient and competitive banking sectors in advanced transition countries

  • Private banks are more efficient than govt. owned banks

  • Foreign owned banks are more efficient than private banks

  • International institutional investors ‘cherry-pick’



Things to do

  • Differentiate foreign greenfield operations from foreign ownership of formerly state owned banks

  • Additional dummies for country clusters, e.g., Baltics, Northern-tier (Czech R., Hungary, and Poland)

  • Relative to maximum efficiency in country vs. average efficiency

  • Random effects estimation



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