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Econometric Modeling of the Bank’s Short-Term Liquidity Dynamics Based on Multi-Factor Regression

Author

Listed:
  • E. G. Shershneva
  • H. B. Bakr Hasan
  • J. Al Hadabi

Abstract

The article develops theoretical and methodological aspects of the predicative analysis of liquidity in the banking sector in the context of diversity and divergence of factors affecting the liquidity position of modern banks. The aim of the work is to study the dependence of short-term liquidity of a bank on a number of economic indicators based on econometric modeling. We used a systematic analytical approach to the study of liquidity formation factors and methods of comparative data analysis. The key methodological instrument of the empirical part of the study is multivariate correlation and regression analysis based on the parametric choice of performance indicators of a large bank in the Ural region. This study did not confirm the dominant thesis about the negative impact of excess liquidity on the profitability of commercial banks. Thus, a comparative analysis of the liquidity ratio and return on assets of Russian banks of various sizes for the period 2015-2019 did not reveal the existence of an explicit inverse-proportional relationship between liquidity and profitability. The analysis of pair correlations also did not reveal a close relationship between the value of current liquidity ratio and the bank's operating profit. The authors noted that small-sized banks are able to demonstrate a combination of high liquidity and high profitability, while larger banks may not achieve such results. Consequently, the scale of the bank's activities is not the determining factor in liquidity but indirectly provides quick access to funding sources. The authors have constructed regression models of the dependence of the mandatory current liquidity ratio of a bank on a number of performance indicators, making it possible to carry out a forecast-analytical assessment of liquidity for the short term outlook. It is established that own capital, short-term liabilities and overdue loan debt have a significant impact on the dynamics of the bank's liquidity. The proposed approach can be applied by analytical departments of commercial banks in the development of predicative models for the monitoring the liquid position.

Suggested Citation

  • E. G. Shershneva & H. B. Bakr Hasan & J. Al Hadabi, 2020. "Econometric Modeling of the Bank’s Short-Term Liquidity Dynamics Based on Multi-Factor Regression," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(1), pages 79-96.
    • Handle: RePEc:aiy:jnjaer:v:19:y:2020:i:1:p:79-96
    DOI: http://dx.doi.org/10.15826/vestnik.2020.19.1.005
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    References listed on IDEAS

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    1. Eichengreen, Barry & Gupta, Poonam, 2013. "The financial crisis and Indian banks: Survival of the fittest?," Journal of International Money and Finance, Elsevier, vol. 39(C), pages 138-152.
    2. Allen N. Berger & Christa H. S. Bouwman, 2009. "Bank Liquidity Creation," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3779-3837, September.
    3. Roman Horváth & Jakub Seidler & Laurent Weill, 2014. "Bank Capital and Liquidity Creation: Granger-Causality Evidence," Journal of Financial Services Research, Springer;Western Finance Association, vol. 45(3), pages 341-361, June.
    4. Charles Goodhart & Pojanart Sunirand & Dimitrios Tsomocos, 2006. "A model to analyse financial fragility," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 27(1), pages 107-142, January.
    5. Anil K. Kashyap & Raghuram Rajan & Jeremy C. Stein, 2002. "Banks as Liquidity Providers: An Explanation for the Coexistence of Lending and Deposit‐taking," Journal of Finance, American Finance Association, vol. 57(1), pages 33-73, February.
    6. Elisabeth Ledrut, 2007. "Simulating retaliation in payment systems: Can banks control their exposure to a failing participant?," DNB Working Papers 133, Netherlands Central Bank, Research Department.
    7. Mark Gertler & Nobuhiro Kiyotaki, 2015. "Banking, Liquidity, and Bank Runs in an Infinite Horizon Economy," American Economic Review, American Economic Association, vol. 105(7), pages 2011-2043, July.
    8. Clemens Bonner & Iman Lelyveld & Robert Zymek, 2015. "Banks’ Liquidity Buffers and the Role of Liquidity Regulation," Journal of Financial Services Research, Springer;Western Finance Association, vol. 48(3), pages 215-234, December.
    9. Jan Willem van den End, 2010. "Liquidity Stress-Tester: A Model for Stress-testing Banks' Liquidity Risk," CESifo Economic Studies, CESifo, vol. 56(1), pages 38-69, March.
    10. Douglas W. Diamond & Raghuram G. Rajan, 2005. "Liquidity Shortages and Banking Crises," Journal of Finance, American Finance Association, vol. 60(2), pages 615-647, April.
    11. Diana Bonfim & Moshe Kim, 2012. "Liquidity risk in banking: is there herding?," Working Papers w201218, Banco de Portugal, Economics and Research Department.
    12. Dinger, Valeriya, 2009. "Do foreign-owned banks affect banking system liquidity risk?," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 647-657, December.
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    More about this item

    Keywords

    commercial bank; banking sector; liquidity; liquidity factors; unbalanced liquidity risk; current liquidity ratio; liquidity management; capital; short-term liabilities; liquid assets;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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