Swamy, Vighneswara and S, Sreejesh (2012): Financial Instability, Uncertainty and Banks’ Lending Behaviour. Published in: International Journal of Banking and Finance , Vol. 9, No. 4 (14 March 2013): pp. 74-95.
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Abstract
Why do banks squeeze their lending activity? is an oft-repeated question during the times of financial crisis. This study examines an emerging economy’s banking system and contributes to the evolving body of literature on the topic by providing answers as to what causes the sluggish bank credit during the times of recession. By employing cointegration technique, the study shows that bank credit has a significant positive relationship with the borrowing activity of the banks and on the contrary, inverse relationship with investment activity during the financial crisis. Accordingly, we suggest that banks could increase their lending by increasing the borrowings rapidly either from the Central Banks or from Government supported long term lending institutions during recessionary periods.
Item Type: | MPRA Paper |
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Original Title: | Financial Instability, Uncertainty and Banks’ Lending Behaviour |
Language: | English |
Keywords: | Time-Series Models, Financial Markets, Interest Rates, Bank lending, Financial Crisis |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes D - Microeconomics > D5 - General Equilibrium and Disequilibrium > D53 - Financial Markets E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E43 - Interest Rates: Determination, Term Structure, and Effects E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E51 - Money Supply ; Credit ; Money Multipliers G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages |
Item ID: | 47518 |
Depositing User: | Vighneswara Swamy |
Date Deposited: | 12 Jun 2013 05:24 |
Last Modified: | 07 Oct 2019 11:22 |
References: | Allen, F. And Carletti, E. 2010. An Overview of the Crisis: Causes, Consequences, and Solutions. International Review of Finance, 10:1: 1–26. Brunnermeier, M. 2009. Deciphering the liquidity and credit crunch 2007–08. Journal of Economic Perspectives, 23, 77–100. Calomiris, C.W. and B. Wilson. 2004. Bank capital and portfolio management: The 1930s “capital crunch” and the scramble to shed risk. Journal of Business, 77(3), 421-454. Cheung,Y W and Lai,K.S. 1993. Finite sample sizes of Johanson’s likelihood ratio test for Cointegration. Oxford Bulletine for Economics and Statistics, 55,313-28 De Haas, R.T.A., and I.P.P. Van Lelyveld. 2006. Foreign banks and credit stability in Central and Eastern Europe: A panel data analysis. Journal of Banking and Finance, 30, 1927-1952 Dickey, D. and W. Fuller. 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association 84, 427-431. Demirgüç-Kunt, A., E. Detragiache and P. Gupta. 2006. Inside the crisis: an empirical analysis of banking systems in distress. Journal of International Money and Finance, 25, 702-718. Gertler, M. 2010. Banking Crises and Real Activity: Identifying the Linkages. International Journal of Central Banking, Vol. 6 No. 4, December Gonzalo, J. 1994. Five alternative methods of estimating long-run equilibrium Relationships. Journal of Econometrics, 60(1-2), 203–233 Greenlaw, D., Hatzius, J., Kashyap, A., and Shin, H. 2008. Leveraged losses: lessons from the mortgage market meltdown. U.S. Monetary Policy Forum, Report no. 2: 7–59. Ivashina, V. and D. Scharfstein. 2008. Bank lending during the financial crisis of 2008. Mimeo Johansen, S. 1988. Statistical analysis of cointegration vectors, Journal of Economic Dynamics and Control 12, 231-254. Johansen, Soren and Juselius, Katarina. 1990. Maximum Likelihood Estimation and Inference on Cointegration-With Applications to the Demand for Money. Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May MacKinnon, J. G. 1996. Numerical distribution functions for unit root and cointegration Tests. Journal of Applied Econometrics, 11, 601–618. MacKinnon J.G, Alfred Haug, and Leo Michelis. 1999. Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration. Journal of Applied Econometrics, Vol. 14, No. 5, 1999, pp. 563-577. Mishkin, F. 1999a. Global financial instability: framework, events, issues. Journal of Economic Perspectives, 13(4), fall: 3–20. Mishkin, F. 1999b. Lessons from the Asian crisis. Journal of International Money and Finance, 18: 709–723. Ongena, S. 1999. Lending relationships, bank default, and economic activity. International Journal of the Economics of Business, 6(2), 257-280. Phillips, P.C.B. and P. Perron. 1988. Testing for a unit root in time series regression. Biometrika 7.5, 335-346. Phillips, P. C. B. (1991). Optimal inference in cointegrated systems. Econometrica, Vol.50, pp.283-306 Ralph de Haas & Neeltje van Horen. 2009. The strategic behavior of banks during a financial crisis; evidence from the syndicated loan market. European Bank for Reconstruction and Development (EBRD), Central Bank of the Netherlands (DNB) Retrieved from; at http://mpra.ub.uni-muenchen.de/14164/ MPRA Paper No. 14164 Rajan, R.G. 1992. Insiders and outsiders: the choice between informed and arm’s-length debt. Journal of Finance, 47, 1367-1400. Taylor, J. 2008. The financial crisis and the policy responses: an empirical analysis of what went wrong. Working Paper, Stanford University |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/47518 |
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