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Economic value, competition and financial distress in the European banking system

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  • Cipollini, Andrea
  • Fiordelisi, Franco

Abstract

In this paper we examine the impact of a large number of factors at the bank level (liquidity and credit risks, asset size, income diversification and market power), at the industry level (banking concentration) and macro-level (real GDP growth) on bank financial distress using an unbalanced panel of 308 European commercial banks between 1996 and 2009. The observations falling below a given threshold of the empirical distribution of the Shareholder Value Ratio proxy bank financial distress. We employ a panel probit regression and, given the presence of overlapping data giving rise to residual autocorrelation, we use the Bertschek and Lechner (1998) robust estimator of the covariance matrix of parameters. We show that credit risk, liquidity risk and bank market power are the most influential determinants of distressed Shareholder Value Ratio. Finally we evaluate the model out-sample forecasting performance over the 2008–2009 crisis period.

Suggested Citation

  • Cipollini, Andrea & Fiordelisi, Franco, 2012. "Economic value, competition and financial distress in the European banking system," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3101-3109.
  • Handle: RePEc:eee:jbfina:v:36:y:2012:i:11:p:3101-3109 DOI: 10.1016/j.jbankfin.2012.07.014
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    Cited by:

    1. Baselga-Pascual, Laura & Trujillo-Ponce, Antonio & Cardone-Riportella, Clara, 2015. "Factors influencing bank risk in Europe: Evidence from the financial crisis," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 138-166.
    2. Morakinyo Adetutu & Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2015. "The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis," Journal of Productivity Analysis, Springer, vol. 43(3), pages 307-326, June.
    3. Shaffer, Sherrill & Spierdijk, Laura, 2015. "The Panzar–Rosse revenue test and market power in banking," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 340-347.
    4. Anthony J. Glass & Karligash Kenjegalieva & Robin Sickles, 2012. "The Effects of Efficiency and TFP Growth on Nitrogen and Sulphur Emissions in Europe: A Multistage Spatial Analysis," Discussion Paper Series 2012_11, Department of Economics, Loughborough University, revised Oct 2012.
    5. repec:eee:riibaf:v:41:y:2017:i:c:p:90-104 is not listed on IDEAS
    6. repec:seb:journl:v:15:y:2017:i:2:p:175-208 is not listed on IDEAS
    7. Shijaku, Gerti, 2017. "Bank Stability and Competition: Evidence from Albanian Banking Market," MPRA Paper 79891, University Library of Munich, Germany.
    8. Shijaku, Gerti, 2016. "Does bank competition affect bank stability after the global financial crisis?," MPRA Paper 79084, University Library of Munich, Germany.
    9. TOMULEASA, Ioana-Iuliana & COCRIŞ, Vasile, 2014. "Measuring The Financial Performance Of The European Systemically Important Banks," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 18(4), pages 31-51.
    10. repec:eee:ecofin:v:42:y:2017:i:c:p:89-106 is not listed on IDEAS
    11. Tan, Yong, 2016. "The impacts of risk and competition on bank profitability in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 85-110.
    12. Hakimi, Abdelaziz & Hamdi, Helmi & Djlassi, Mouldi, 2013. "Testing the concentration-performance relationship in the Tunisian banking sector," MPRA Paper 55927, University Library of Munich, Germany, revised 2013.

    More about this item

    Keywords

    EVA; Banking; Panel probit; Robust inference; Forecasting;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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