IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2019-03-3.html
   My bibliography  Save this article

Financial Ratios Analysis in Determination of Bank Performance in the German Banking Sector

Author

Listed:
  • Sandrine Lardic

    (EDEHN, Le Havre University, France)

  • Virginie Terraza

    (Centre for Economics and Management, University of Luxembourg, Luxembourg.)

Abstract

This paper uses dynamic panel data methods to examine the determinants of bank's performance in the German banking sector. The main determinants considered are indicators of solvency and liquidity, which makes it possible to observe the behavior of the banks in terms of risk before and during the financial crisis. The study is motivated by the hypothesis that the behavior of German banks depends on bank-specific variables which have an effect on loan policy of institutions. Universal banks in Germany can be divided into three main types of institutions: commercial, public-sector and cooperative banks. The analysis is conducted in a disaggregated manner by classifying the banks into main categories. Each category is examined separately so as to detect possible similarities or differences in the behavior of each panel on banks' performance. The empirical analysis relates to a sample of 1624 German banks observed over the period 2000-2014.

Suggested Citation

  • Sandrine Lardic & Virginie Terraza, 2019. "Financial Ratios Analysis in Determination of Bank Performance in the German Banking Sector," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 22-47.
    • Handle: RePEc:eco:journ1:2019-03-3
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijefi/article/download/7888/pdf
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijefi/article/view/7888/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christian Merkl & Stephanie Stolz, 2009. "Banks' regulatory buffers, liquidity networks and monetary policy transmission," Applied Economics, Taylor & Francis Journals, vol. 41(16), pages 2013-2024.
    2. Amelia U. Santos‐Paulino, 2004. "Trade Liberalization and the Balance of Payments in Selected Developing Countries," Manchester School, University of Manchester, vol. 72(1), pages 100-118, January.
    3. Alonso-Borrego, Cesar & Arellano, Manuel, 1999. "Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 36-49, January.
    4. Beck, Thorsten & Levine, Ross, 2004. "Stock markets, banks, and growth: Panel evidence," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 423-442, March.
    5. Athanasoglou, Panayiotis P. & Brissimis, Sophocles N. & Delis, Matthaios D., 2008. "Bank-specific, industry-specific and macroeconomic determinants of bank profitability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(2), pages 121-136, April.
    6. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    7. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    8. Carstensen, Kai & Toubal, Farid, 2004. "Foreign direct investment in Central and Eastern European countries: a dynamic panel analysis," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 3-22, March.
    9. Calderon, Cesar & Chong, Alberto, 2001. "External sector and income inequality in interdependent economies using a dynamic panel data approach," Economics Letters, Elsevier, vol. 71(2), pages 225-231, May.
    10. Dietrich, Andreas & Wanzenried, Gabrielle, 2011. "Determinants of bank profitability before and during the crisis: Evidence from Switzerland," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 307-327, July.
    11. Hayakawa, Kazuhiko, 2007. "Small sample bias properties of the system GMM estimator in dynamic panel data models," Economics Letters, Elsevier, vol. 95(1), pages 32-38, April.
    12. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    13. Çoban, Serap & Topcu, Mert, 2013. "The nexus between financial development and energy consumption in the EU: A dynamic panel data analysis," Energy Economics, Elsevier, vol. 39(C), pages 81-88.
    14. Fadzlan Sufian, 2011. "Profitability of the Korean Banking Sector: Panel Evidence on Bank-Specific and Macroeconomic Determinants," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 7(1), pages 43-72, January.
    15. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    16. Cheng, Leonard K. & Kwan, Yum K., 2000. "What are the determinants of the location of foreign direct investment? The Chinese experience," Journal of International Economics, Elsevier, vol. 51(2), pages 379-400, August.
    17. Vicente Salas & Jesús Saurina, 2002. "Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 22(3), pages 203-224, December.
    18. Amelia Santos-Paulino & A. P. Thirlwall, 2004. "The impact of trade liberalisation on exports, imports and the balance of payments of developing countries," Economic Journal, Royal Economic Society, vol. 114(493), pages 50-72, February.
    19. John Goddard & Phil Molyneux & John O. S. Wilson, 2004. "The profitability of european banks: a cross‐sectional and dynamic panel analysis," Manchester School, University of Manchester, vol. 72(3), pages 363-381, June.
    20. Naceur, Sami Ben & Omran, Mohammed, 2011. "The effects of bank regulations, competition, and financial reforms on banks' performance," Emerging Markets Review, Elsevier, vol. 12(1), pages 1-20, March.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    22. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    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. Virginie Terraza & Aslı Boru İpek & Mohammad Mahdi Rounaghi, 2024. "The nexus between the volatility of Bitcoin, gold, and American stock markets during the COVID-19 pandemic: evidence from VAR-DCC-EGARCH and ANN models," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-34, December.
    2. Carlos González Taranco & Víctor Josué Álvarez Quiroz, 2021. "Covid 19 efecto en la rentabilidad y el rendimiento: El caso del sistema bancario en el Perú, 2019-2020," Revista de Análisis Económico y Financiero, Universidad de San Martín de Porres, vol. 4(01), pages 07-14.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kruiniger, Hugo, 2013. "Quasi ML estimation of the panel AR(1) model with arbitrary initial conditions," Journal of Econometrics, Elsevier, vol. 173(2), pages 175-188.
    2. Fajeau, Maxime, 2021. "Too much finance or too many weak instruments?," International Economics, Elsevier, vol. 165(C), pages 14-36.
    3. Louzis, Dimitrios P. & Vouldis, Angelos T. & Metaxas, Vasilios L., 2012. "Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1012-1027.
    4. Castro, Vítor, 2013. "Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI," Economic Modelling, Elsevier, vol. 31(C), pages 672-683.
    5. Ayaydin, Hasan & Karaaslan, İbrahim, 2014. "Stock Market Development, Bank Concentration, Ownership Structure, and Bank Performance: Evidence from Turkey," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 1(1), pages 49-67.
    6. Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
    7. Kazuhiko Hayakawa & M. Hashem Pesaran, 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Data Models," Working Paper series 38_12, Rimini Centre for Economic Analysis.
    8. Jugnu Ansari & Ashima Goyal, 2014. "Bank Competition, Managerial Efficiency and the Interest Rate Pass-Through in India," Contemporary Studies in Economic and Financial Analysis, in: Risk Management Post Financial Crisis: A Period of Monetary Easing, volume 96, pages 317-339, Emerald Group Publishing Limited.
    9. Kusi, Baah Aye & Agbloyor, Elikplimi Komla & Gyeke-Dako, Agyapomaa & Asongu, Simplice Anutechia, 2020. "Financial Sector transparency and net interest margins: Should the private or public Sector lead financial Sector transparency?," Research in International Business and Finance, Elsevier, vol. 54(C).
    10. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2015. "Robust standard errors in transformed likelihood estimation of dynamic panel data models with cross-sectional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 188(1), pages 111-134.
    11. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    12. Hayakawa, K. & Pesaran, M.H., 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Models," Cambridge Working Papers in Economics 1224, Faculty of Economics, University of Cambridge.
    13. Richard A. Ashley & Xiaojin Sun, 2016. "Subset-Continuous-Updating GMM Estimators for Dynamic Panel Data Models," Econometrics, MDPI, vol. 4(4), pages 1-13, November.
    14. Sufian, Fadzlan & Habibullah, Muzafar Shah, 2012. "Globalizations and bank performance in China," Research in International Business and Finance, Elsevier, vol. 26(2), pages 221-239.
    15. Hasan AYAYDIN & Ýbrahim KARAASLAN, 2014. "Stock Market Development, Bank Concentration, Ownership Structure, and Bank Performance: Evidence from Turkey," Journal of Economics and Political Economy, KSP Journals, vol. 1(1), pages 49-67, September.
    16. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    17. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    18. Maria Elisabete Duarte Neves & Maria Do Castelo Gouveia & Catarina Alexandra Neves Proença, 2020. "European Bank’s Performance and Efficiency," JRFM, MDPI, vol. 13(4), pages 1-17, April.
    19. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    20. Whelsy Boungou, 2019. "Negative Interest Rates, Bank Profitability and Risk-taking," Working Papers hal-03456106, HAL.

    More about this item

    Keywords

    Banking profitability; financial crisis; financial market structure.;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    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:eco:journ1:2019-03-3. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.