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Tight Money, Tight Standards

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  • Philemon Kwame Opoku

Abstract

This paper uses a structural vector autoregressive model (SVAR) to study the effect of monetary policy and bank lending standards on business loans. The results are consistent with a dynamic model of bank behaviour that explicitly considers a bank’s soundness position. According to the results of the empirical estimation and prediction of the theoretical model, increases in loans, particularly non-performing loans or delinquency rates due to a monetary policy shock, deteriorate a bank’s health, causing it to apply more stringent lending standards. Thus, the results show that banks raise their lending standards in response to the tightness of money, defined as increases in the demand for the bank’s loans while its resources (reserves or deposits) remain constant. Furthermore, lending standards dominate loan rates in explaining loans and output dynamics.

Suggested Citation

  • Philemon Kwame Opoku, 2024. "Tight Money, Tight Standards," Working Papers REM 2024/0323, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    • Handle: RePEc:ise:remwps:wp03232024
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    References listed on IDEAS

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    1. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
    2. Lown, Cara & Morgan, Donald P., 2006. "The Credit Cycle and the Business Cycle: New Findings Using the Loan Officer Opinion Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1575-1597, September.
    3. Jaffee, Dwight M & Modigliani, Franco, 1969. "A Theory and Test of Credit Rationing," American Economic Review, American Economic Association, vol. 59(5), pages 850-872, December.
    4. Luckett, Dudley G, 1970. "Credit Standards and Tight Money," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 2(4), pages 420-434, November.
    5. Borio, Claudio & Zhu, Haibin, 2012. "Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism?," Journal of Financial Stability, Elsevier, vol. 8(4), pages 236-251.
    6. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    7. Buch, Claudia M. & Eickmeier, Sandra & Prieto, Esteban, 2014. "In search for yield? Survey-based evidence on bank risk taking," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 12-30.
    8. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-09 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 81-156.
    9. Anil K. Kashyap & Jeremy C. Stein, 1994. "Monetary Policy and Bank Lending," NBER Chapters, in: Monetary Policy, pages 221-261, National Bureau of Economic Research, Inc.
    10. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    11. Bollerslev, Tim & Russell, Jeffrey & Watson, Mark (ed.), 2010. "Volatility and Time Series Econometrics: Essays in Honor of Robert Engle," OUP Catalogue, Oxford University Press, number 9780199549498.
    12. Afanasyeva, Elena & Güntner, Jochen, 2014. "Lending standards, credit booms and monetary policy," IMFS Working Paper Series 85, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    13. Bernanke, Ben S & Blinder, Alan S, 1988. "Credit, Money, and Aggregate Demand," American Economic Review, American Economic Association, vol. 78(2), pages 435-439, May.
    14. Vasso Ioannidou & Steven Ongena & José-Luis Peydró, 2015. "Monetary Policy, Risk-Taking, and Pricing: Evidence from a Quasi-Natural Experiment," Review of Finance, European Finance Association, vol. 19(1), pages 95-144.
    15. Olivier Coibion, 2012. "Are the Effects of Monetary Policy Shocks Big or Small?," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 1-32, April.
    16. Boivin, Jean, 2006. "Has U.S. Monetary Policy Changed? Evidence from Drifting Coefficients and Real-Time Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1149-1173, August.
    17. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 1994. "The Effects of Monetary Policy Shocks: Some Evidence from the Flow of Funds," NBER Working Papers 4699, National Bureau of Economic Research, Inc.
    18. Harris, Duane G, 1973. "Some Evidence on Differential Lending Practices at Commercial Banks," Journal of Finance, American Finance Association, vol. 28(5), pages 1303-1311, December.
    19. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-09 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 81-156.
    20. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-2009 Recession," NBER Working Papers 18094, National Bureau of Economic Research, Inc.
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    Keywords

    Monetary Policy; Credit Standards; Bank Behaviour; SVAR model;
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