IDEAS home Printed from https://ideas.repec.org/p/iik/wpaper/525.html
   My bibliography  Save this paper

What Explains Excess Liquidity of Banks? Empirical Evidence from India

Author

Listed:
  • Md Gyasuddin Ansari

    (Indian Institute of Management Kozhikode)

  • Rudra Sensarma

    (Indian Institute of Management Kozhikode)

Abstract

: We study excess liquidity in the banking system as well as at bank level in India. We apply Autoregressive Distributed Lag model for the aggregate level estimation and standard panel regressions for bank level estimation. We find different factors responsible for the prevalence of excess liquidity in the banking system as a whole and at the bank level. The common factors which are responsible for build-up of excess liquidity are required reserves, exchange rate and call rate. For instance, we find that the response of excess liquidity to required reserves is negative at both aggregate and bank-level. At the aggregate level, excess liquidity reacts negatively to exchange rate and positively to the inter-bank call rate. However, at the banklevel, exchange rate has a positive effect while the call rate has a negative effect on excess liquidity.

Suggested Citation

  • Md Gyasuddin Ansari & Rudra Sensarma, 2022. "What Explains Excess Liquidity of Banks? Empirical Evidence from India," Working papers 525, Indian Institute of Management Kozhikode.
    • Handle: RePEc:iik:wpaper:525
    as

    Download full text from publisher

    File URL: https://iimk.ac.in/uploads/publications/IIMK_WPS_525_ECO_2022_07_Upload_File.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Demiralp, Selva & Eisenschmidt, Jens & Vlassopoulos, Thomas, 2021. "Negative interest rates, excess liquidity and retail deposits: Banks’ reaction to unconventional monetary policy in the euro area," European Economic Review, Elsevier, vol. 136(C).
    2. Acharya, Viral & Naqvi, Hassan, 2012. "The seeds of a crisis: A theory of bank liquidity and risk taking over the business cycle," Journal of Financial Economics, Elsevier, vol. 106(2), pages 349-366.
    3. Agénor, Pierre-Richard & Aynaoui, Karim El, 2010. "Excess liquidity, bank pricing rules, and monetary policy," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 923-933, May.
    4. Muhammad Omer & Jakob De Haan & Bert Scholtens, 2015. "An empirical analysis of excess interbank liquidity: a case study of Pakistan," Applied Economics, Taylor & Francis Journals, vol. 47(44), pages 4754-4776, March.
    5. Fuhrer, Jeffrey C., 2010. "Inflation Persistence," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 9, pages 423-486, Elsevier.
    6. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2015. "An analysis of involuntary excess reserves, monetary policy and risk-taking behaviour of Chinese Banks," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 63-72.
    7. Agenor, Pierre-Richard & Aizenman, Joshua & Hoffmaister, Alexander W., 2004. "The credit crunch in East Asia: what can bank excess liquid assets tell us?," Journal of International Money and Finance, Elsevier, vol. 23(1), pages 27-49, February.
    8. M S Mohanty & Gert Schnabel & Pablo Garcia-Luna, 2006. "Banks and aggregate credit: what is new?," BIS Papers chapters, in: Bank for International Settlements (ed.), The banking system in emerging economies: how much progress has been made?, volume 28, pages 11-39, Bank for International Settlements.
    9. Fungáčová, Zuzana & Nuutilainen, Riikka & Weill, Laurent, 2016. "Reserve requirements and the bank lending channel in China," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 37-50.
    10. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    11. Menon, Jayant, 2009. "Managing Success in Viet Nam: Macroeconomic Consequences of Large Capital Inflows with Limited Policy Tools," Working Papers on Regional Economic Integration 27, Asian Development Bank.
    12. Rakesh Mohan, 2008. "Capital flows to India," BIS Papers chapters, in: Bank for International Settlements (ed.), Financial globalisation and emerging market capital flows, volume 44, pages 235-263, Bank for International Settlements.
    13. Chengsi Zhang & Hong Pang, 2008. "Excess Liquidity and Inflation Dynamics in China: 1997–2007," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 16(4), pages 1-15, July.
    14. Mr. Magnus Saxegaard, 2006. "Excess Liquidity and Effectiveness of Monetary Policy: Evidence from Sub-Saharan Africa," IMF Working Papers 2006/115, International Monetary Fund.
    15. Perron, Pierre, 1990. "Testing for a Unit Root in a Time Series with a Changing Mean," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 153-162, April.
    16. Zsolt Darvas & David Pichler, 2018. "Excess liquidity and bank lending risks in the euro area," Policy Contributions 27593, Bruegel.
    17. Khemraj, Tarron, 2007. "Monetary policy and excess liquidity: the case of Guyana," MPRA Paper 53126, University Library of Munich, Germany.
    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. Houda Litimi & Ahmed BenSaïda & Mohamed Mahees Raheem, 2024. "Impact of FinTech Growth on Bank Performance in GCC Region," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 23(2), pages 227-245, June.

    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. Muhammad Omer & Jakob De Haan & Bert Scholtens, 2015. "An empirical analysis of excess interbank liquidity: a case study of Pakistan," Applied Economics, Taylor & Francis Journals, vol. 47(44), pages 4754-4776, March.
    2. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2015. "Bank excess reserves in emerging economies: A critical review and research agenda," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 158-166.
    3. Arias, Jose & Talavera, Oleksandr & Tsapin, Andriy, 2022. "Bank liquidity and exposure to industry shocks: Evidence from Ukraine," Emerging Markets Review, Elsevier, vol. 53(C).
    4. Jose Arias & Oleksandr Talavera & Andriy Tsapin, 2020. "Bank Liquidity and Exposure to Industry Shocks," Discussion Papers 20-16, Department of Economics, University of Birmingham.
    5. Muhammad, Omer & de Haan, Jakob & Scholtens, Bert, 2014. "Impact of Interbank Liquidity on Monetary Transmission Mechanism: A Case Study of Pakistan," MPRA Paper 56161, University Library of Munich, Germany.
    6. Keyra Primus, 2013. "'Excess Reserves, Monetary Policy and Financial Volatility," Centre for Growth and Business Cycle Research Discussion Paper Series 183, Economics, The University of Manchester.
    7. Albulenë Kastrati, 2022. "Paradox of Excess Liquidity in European Emerging and Transition Economies," Prague Economic Papers, Prague University of Economics and Business, vol. 2022(1), pages 79-114.
    8. Thai V. H. Nguyen & Agyenim Boateng & Tra Thi Thu Pham, 2019. "Involuntary excess reserve and heterogeneous transmission of policy rates to bank lending rates in China," Empirical Economics, Springer, vol. 57(3), pages 1023-1044, September.
    9. Primus, Keyra, 2013. "Excess Reserves, Monetary Policy and Financial Volatility," MPRA Paper 51670, University Library of Munich, Germany.
    10. Carlos Santos & Maria Alberta Oliveira, 2010. "Assessing French inflation persistence with impulse saturation break tests and automatic general-to-specific modelling," Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1577-1589.
    11. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2015. "An analysis of involuntary excess reserves, monetary policy and risk-taking behaviour of Chinese Banks," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 63-72.
    12. Kushal Banik Chowdhury & Nityananda Sarkar, 2017. "Is the Hybrid New Keynesian Phillips Curve Stable? Evidence from Some Emerging Economies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 427-449, September.
    13. Khemraj, Tarron & Primus, Keyra, 2013. "Testing for the Credit Crunch in Trinidad and Tobago Using an Alternative Method," MPRA Paper 47372, University Library of Munich, Germany.
    14. Agénor, Pierre-Richard & Aynaoui, Karim El, 2010. "Excess liquidity, bank pricing rules, and monetary policy," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 923-933, May.
    15. Agyenim Boateng & Vu Hong Thai Nguyen & Min Du & Frank O. Kwabi, 2022. "The impact of CEO compensation and excess reserves on bank risk-taking: the moderating role of monetary policy," Empirical Economics, Springer, vol. 62(4), pages 1575-1598, April.
    16. Guy, Kester & Lowe, Shane, 2012. "Tracing the Liquidity Effects on Bank Stability in Barbados," MPRA Paper 52205, University Library of Munich, Germany.
    17. Primus, Keyra, 2017. "Excess reserves, monetary policy and financial volatility," Journal of Banking & Finance, Elsevier, vol. 74(C), pages 153-168.
    18. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2013. "The impact of excess reserves beyond precautionary levels on Bank Lending Channels in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 358-377.
    19. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    20. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.

    More about this item

    Keywords

    Excess Liquidity; Required Reserves; Exchange Rate; Autoregressive Distributed Lag; Panel Regression;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G00 - Financial Economics - - General - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:iik:wpaper:525. 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: Sudheesh Kumar (email available below). General contact details of provider: https://edirc.repec.org/data/iikmmin.html .

    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.