Evaluating the Effect of Bank Characteristics on Bank Lending Channel: A Factor-augmented Vector Autoregressive (FAVAR) Approach

Document Type : Research Paper

Authors

1 Ph.D. Candidate, Department of Finance and Insurance, Faculty of Management, University of Tehran, Tehran, Iran.

2 Prof., Department of Finance and Insurance, Faculty of Management, University of Tehran, Tehran, Iran.

3 Assistant Prof., Department of Finance and Insurance, Faculty of Management, University of Tehran, Tehran, Iran.

4 Associate Prof., Department of Leadership and Human Capital, Faculty of Management, University of Tehran, Tehran, Iran.

Abstract

Objective: In this study, we investigated the existence of the bank lending channel (BLC) as one of the monetary transmission mechanisms and the effect of banking characteristics on this channel in the Iranian economy.
Methods: The Factor-Augmented Vector Autoregressive (FAVAR) model, introduced by Bernanke, Boivin, and Eliasz (2005) was used. This research studied 61 macroeconomic variables from 2004Q2 to 2020Q1 and 24 banking variables from 2009Q1 to 2020Q1.
Results: The investigation delivered two main results. First, by considering the growth of M2 as a proxy of monetary policy, the monetary policy proved to have a significant effect on bank lending and the BLC in the Iranian economy. When identifying monetary policy shock, the response of real lending growth was found positive and significant in the quarter when the shock was identified and also in the following three quarters. Substituting nominal lending growth for real lending growth, lending growth had a more significant response to the monetary policy shock. Also, by considering the monetary base as a proxy of monetary policy, lending growth had a less significant response to the monetary policy shock. Second, we found that bank characteristics don’t have a significant effect on the BLC. We investigated the effect of bank characteristics on the BLC at both aggregated and disaggregated lending. The results of the analysis of aggregated lending response showed that by including the bank factors, compared with the case where there are only economic factors in the model, the aggregated lending response doesn’t change significantly after considering the bank factors. Therefore, the bank characteristics do not significantly impact the response of the aggregated lending growth to the monetary policy shock. The results of the analysis of disaggregated lending response showed that except for Parsian and Pasargad banks, whose lending response to monetary policy shock is positive and insignificant, other banks give positive and significant responses to monetary policy shock. Overall, the bank characteristics have a more significant effect on the BLC in the disaggregated lending case.
Conclusion: According to the achieved results, the BLC can be considered an active channel in the Iranian economy, by which the real economy can be affected. Also, the bank characteristics don’t have a significant effect on the BLC. Therefore, considering the strength of the BLC in the Iranian economy, the very close relationship between the BLC and monetary policy variable (M2), and regarding the insignificant effect of bank characteristics on the BLC, monetary policy-maker should take into account the BLC when setting monetary policy.

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References

Alinejad Mehrabani, F. (2013). Monetary Transmission Mechanism in Iranian Economy: Assessing effectiveness of various Transmission Channels using SVECM Modeling. Ph.D. Thesis, University of Tehran. (in Persian)
Altunbaş, Y., Fazylov, O., & Molyneux, P. (2002). Evidence on the bank lending channel in Europe. Journal of Banking & Finance, 26(11), 2093-2110.
Azofra, S.S., Olmo, B.T., Saiz, M.C., Gutiérrez, C.L., (2018). Financial development and the bank lending channel in developing countries, Journal of Macroeconomics, 55, 215-234.
Bernanke, B. S., & Blinder, A. S. (1988). Credit, money, and aggregate demand. Papers and Proceedings of the One-Hundredth Annual Meeting of the American Economic Association, 78(2), 435-439.
Bernanke, B. S., & Blinder, A. S. (1992). The Federal Funds Rate and the Channels of Monetary Transmission. The American Economic Review, 82(4), 901-921.
Bernanke, B. S., & Gertler, M. (1995). Inside the black box: the credit channel of monetary policy transmission. Journal of Economic perspectives, 9(4), 27-48.
Bernanke, B. S., Boivin, J., & Eliasz, P. (2005). Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach. The Quarterly journal of economics, 120(1), 387-422.
Boivin, J., Giannoni, M. P., & Mihov, I. (2009). Sticky prices and monetary policy: Evidence from disaggregated US data. American economic review, 99(1), 350-84.
Boivin, J., Kiley, M.T., & Mishkin, F. S. (2010). How has the monetary transmission mechanism evolved over time? In Handbook of monetary economics (Vol. 3, pp. 369-422). Elsevier.
Dave, C., Dressler, S.J. & Zhang, L. (2013). The bank lending channel: a FAVAR analysis. Journal of Money, Credit and Banking, 45(8), 1705-1720.
Derikvand, S. (2016). Assessing the existence of the lending channel of monetary transmission in Iran with an emphasis on the bank ownership. MSc. Thesis, University of Zanjan. (in Persian)
Gambacorta, L., & Marques-Ibanez, D. (2011). The bank lending channel: lessons from the crisis. Economic Policy, 26(66), 135-182.
Jimborean, R., & Mésonnier, J. S. (2010). Banks' financial conditions and the transmission of monetary policy: a FAVAR approach.
Johnson, R. A., & Wichern, D. W. (2007). Applied multivariate statistical analysis. Upper Saddle River, NJ: Prentice hall.
Kashyap, A. K., & Stein, J. C. (2000). What do a million observations on banks say about the transmission of monetary policy? American Economic Review, 90(3), 407-428.
Kazerooni, A., Salahesh, T., Asgharpur, H. (2018). Banks’ role in Monetary Policy Transmission Mechanism (Emphasis on Balance-Sheet and Financial Health Characteristics of Banks). Journal of Economic Research (Tahghighat- E- Eghtesadi), 53(1), 69-92. (in Persian)
Khosrojerdi, V. (2013). A comparative study of the effects of monetary policy on bank lending in the private and public banks (during 2003-2009). MSc. Thesis, Ferdowsi University of Mashhad. (in Persian)
Kilian, L. (1998). Small-sample confidence intervals for impulse response functions. Review of economics and statistics, 80(2), 218-230.
Kishan, R. P., & Opiela, T. P. (2000). Bank size, bank capital, and the bank lending channel. Journal of Money, Credit and Banking, 121-141.
Lütkepohl, H. (1985). Comparison of criteria for estimating the order of a vector autoregressive process. Journal of time series analysis, 6(1), 35-52.
Mirhashemi Naeeni, S. (2011). Analysis of Monetary Policy Shock Impacts on Iran s Bank Network Facilities (2001-2009). MSc. Thesis, University of Isfahan. (in Persian)
Nazarian, R., Farhadipour, M., Faraji, A. (2012). The Impact of Banking Competition on the Efficacy of Transmission Mechanism of Monetary Policy Through the Banking Lending Channel. Quarterly Journal of Trend, 20(61,62), 43-74. (in Persian)
Peek, J., & Rosengren, E. S. (1995, June). Bank lending and the transmission of monetary policy. In Conference series-federal reserve bank of Boston (Vol. 39, pp. 47-68). Federal Reserve Bank of Boston.
Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics letters, 58(1), 17-29.
Shahchera, M., Keshishian, L. (2014). Simultaneous Effects of Bank Concentration and Monetary Policy on Bank Lending Channel in Iranian Banking System. Journal of Monetary and Banking Research, 7(19), 27-50. (in Persian)
Shahchera, M., Taheri, M. (2016). Impact of off-balance Sheet Banking on the Bank Lending Channel of Monetary Transmission. Quarterly Journal of Economic Research and Policies, 24(78), 145-170. (in Persian)
Taghavi, M., Lotfi, A. (2006). Investigating the effects of monetary policy on the volume of deposits, lending and liquidity of the banking system (during 1374-1382). Journal of Economics Research, 6(20), 131-166. (in Persian)
Walsh, C. E. (2017). Monetary theory and policy. MIT press.
Financial Research Journal
Volume 25, Issue 1
2023
Pages 1-25

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