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Does Excess Bank Liquidity Impact Non-Performing Loan? A Study on Bangladeshi Economy

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  • Amir, Md. Khaled

Abstract

This study endeavored to find out the impact of excess bank liquidity on non-performing loans (NPL) by using both technical and empirical analysis. The paper found that explanatory variable (excess bank liquidity) has moderate influence on the dependent variable (NPL), suggesting some other hypothetical and psychological aspects such as the intention to fraud, immoral lending, lack of loan monitoring, capital injection and nepotism, etc. which may affect the current economic and banking system in Bangladesh. The study conducts simple linear regression analysis where the beta coefficient of excess bank liquidity is -0.435 clearly indicates, the inverse movement of both the variables which supports the real banking system. The model equation supports an economical relation between excess bank liquidity and non-performing loan (NPL) because loan recovery is the meaning of reducing non-performing loan (NPL) amount and boosts up the bank liquidity of any bank again.

Suggested Citation

  • Amir, Md. Khaled, 2019. "Does Excess Bank Liquidity Impact Non-Performing Loan? A Study on Bangladeshi Economy," MPRA Paper 101150, University Library of Munich, Germany, revised 10 Aug 2019.
  • Handle: RePEc:pra:mprapa:101150
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    References listed on IDEAS

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    1. Moufida Ben Saada, 2017. "The impact of control quality on the non-performing loans of Tunisian listed banks," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 33(1), pages 2-15, December.
    2. Tarron Khemraj, 2007. "What does excess bank liquidity say about the loan market in Less Developed Countries?," Working Papers 60, United Nations, Department of Economics and Social Affairs.
    3. James Earley, 1981. "What caused worldwide inflation: Excess liquidity, excessive credit, or both?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 117(2), pages 213-243, June.
    4. Helmi Hamdi & Abdelaziz Hakimi & Khemais Zaghdoudi, 2017. "Diversification, bank performance and risk: have Tunisian banks adopted the new business model?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-25, December.
    5. Xinhua Liu & L. Wray, 2010. "Excessive Liquidity and Bank Lending in China," International Journal of Political Economy, Taylor & Francis Journals, vol. 39(3), pages 45-63.
    6. Rozina Akter & Jewel Kumar Roy, 2017. "The Impacts of Non-Performing Loan on Profitability: An Empirical Study on Banking Sector of Dhaka Stock Exchange," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 126-132, March.
    7. Kent, Richard J, 1981. "An Analysis of Countercyclical Policies of the FHLBB," Journal of Finance, American Finance Association, vol. 36(1), pages 61-79, March.
    8. 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.
    9. Muhammad Umar & Gang Sun, 2016. "Non-performing loans (NPLs), liquidity creation, and moral hazard: Case of Chinese banks," China Finance and Economic Review, Springer, vol. 4(1), pages 1-23, December.
    10. repec:bla:ecnote:v:32:y:2003:i:1:p:37-66 is not listed on IDEAS
    11. Masahiro Inoguchi, 2016. "Nonperforming Loans and Purchase of Loans by Public Asset Management Companies in Malaysia and Thailand," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 603-631, December.
    12. Abdelkader Boudriga & Neila Boulila Taktak & Sana Jellouli, 2009. "Banking supervision and nonperforming loans: a cross‐country analysis," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 1(4), pages 286-318, November.
    13. Mohd Zaini Abd Karim & Sok-Gee Chan & Sallahudin Hassan, 2010. "Bank Efficiency and Non-Performing Loans: Evidence from Malaysia and Singapore," Prague Economic Papers, Prague University of Economics and Business, vol. 2010(2), pages 118-132.
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    Cited by:

    1. Changjun Zheng & Probir Kumar Bhowmik & Niluthpaul Sarker, 2019. "Industry-Specific and Macroeconomic Determinants of Non-Performing Loans: A Comparative Analysis of ARDL and VECM," Sustainability, MDPI, vol. 12(1), pages 1-17, December.

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    More about this item

    Keywords

    Bank Liquidity; Bank Run; Inflation; Investment; OLS; Interest Rates; Loanable Funds.;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

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