Abstract
The study provides an analysis of the relationships between shadow banking, bank liquidity and monetary policy rate in emerging economies. It is aimed at broadening knowledge on the effects of shadow banking on monetary policy transmission. Furthermore, the study seeks to analyse the impact of changes in bank liquidity on the growth of the shadow banking sector. We employ panel VAR technique to analyse the dynamics of monetary policy, shadow banking and bank liquidity using data for 15 emerging economy countries. We find that a contractionary monetary policy shock results in a decrease in shadow banking and a decrease in bank liquidity. We also find that a positive shock in bank liquidity increases shadow bank growth and a positive shock in shadow banking also increases bank liquidity. The results point to complementarity between shadow banking and bank liquidity; close interconnectedness between the two sectors; and the dominance of risk-taking in emerging economies. We suggest coordination between monetary policy and prudential regulation to improve the potency of monetary policy.
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References
- ABRIGO, M. R. & LOVE, I. (2016). Estimation of panel vector autoregression in Stata. Stata Journal, 16 , 778-804.
- ACHARYA, V. V., KHANDWALA, H. & ÖNCÜ, T. S. (2013). The growth of a shadow banking system in emerging markets: Evidence from India. Journal of International Money and Finance, 39 , 207-230.
- ADRIAN, T. & ASHCRAFT, A. B. (2016). Shadow banking: a review of the literature. Banking Crises. Springer.
- ADRIAN, T. & SHIN, H. S. 2009. Money, liquidity, and monetary policy. American Economic Review, 99 , 600605.
- AFTAB, Z. & VAROTTO, S. (2017). Liquidity and Shadow Banking. Reading, UK: University of Reading.
- ALTUNBAS, Y., GAMBACORTA, L. & MARQUES-IBANEZ, D. (2009). Securitisation and the bank lending channel. European Economic Review, 53 , 996-1009.
- ANDREWS, D. W. & LU, B. (2001). Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models. Journal of Econometrics, 101 , 123-164.
- BARA, A., MUGANO, G. & LE ROUX, P. (2016). Financial innovation and economic growth in the SADC. African Journal of Science, Technology, Innovation and Development, 8 , 483-495.
- BARBU, T. C., BOITAN, I. A. & CIOACA, S. I. (2016). Macroeconomic determinants of shadow banking–evidence from EU countries. Review of Economic and Business Studies, 9 , 111-129.
- BECK, T., CHEN, T., LIN, C. & SONG, F. M. (2014). Financial innovation: The bright and the dark sides. Available at SSRN 1991216 .
- BERNANKE, B. S., GERTLER, M. & GILCHRIST, S. (1999). The financial accelerator in a quantitative business cycle framework. Handbook of macroeconomics, 1 , 1341-1393.
- BORIO, C. & ZHU, H. (2012). Capital regulation, risk-taking and monetary policy: a missing link in the transmission mechanism? Journal of Financial stability, 8 , 236-251.
- BRUNO, V. & SHIN, H. S. (2014). Cross-border banking and global liquidity. The Review of Economic Studies, 82 , 535-564.
- CANOVA, F. & CICCARELLI, M. (2013). Panel Vector Autoregressive Models: A Survey ☆ The views expressed in this article are those of the authors and do not necessarily reflect those of the ECB or the Eurosystem. VAR Models in Macroeconomics–New Developments and Applications: Essays in Honor of Christopher A. Sims. Emerald Group Publishing Limited.
- CHEN, K., REN, J. & ZHA, T. (2017). The nexus of monetary policy and shadow banking in china. National Bureau of Economic Research.
- CHEN, M. J. & COLUMBA, M. F. (2016). Macroprudential and monetary policy interactions in a DSGE model for Sweden , International Monetary Fund.
- COMUNALE, M. (2017). A panel VAR analysis of macro-financial imbalances in the EU. European Central Bank.
- DAJCMAN, S. (2016). The Bank Lending Channel of Monetary Policy and its Macroeconomic Effects: Evidence from a Sample of Selected Euro Area Countries. Engineering Economics, 27 , 124-133.
- DAJCMAN, S. & TICA, J. (2017). The broad credit and bank capital channels of monetary policy transmission in the core and peripheral Euro Area. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu, 35 , 249-275.
- DE MORAES, C. O., MONTES, G. C. & ANTUNES, J. A. P. (2016). How does capital regulation react to monetary policy? New evidence on the risk-taking channel. Economic Modelling, 56 , 177-186.
- DE NICOLÒ, G., DELL’ARICCIA, G., LAEVEN, L. & VALENCIA, F. (2010). Monetary Policy and Bank Risk Taking. Washington DC: International Monetary Fund.
- FSB 2017. Global shadow banking monitoring report (2017). Basel: Financial Stability Board. Available at www.fsb.org/2018/03/global-shadow-banking-monitoring-report-2017/.
- FUNKE, M., MIHAYLOVSKI, P. & ZHU, H. (2015). Monetary policy transmission in China: A DSGE model with parallel shadow banking and interest rate control. BOFIT Discussion Papers, 2015 , 1.
- GALÍ, J. (2015). Monetary policy, inflation, and the business cycle: an introduction to the new Keynesian framework and its applications , Princeton University Press.
- GAMBACORTA, L. (2009). Monetary policy and the risk-taking channel. International banking and financial market developments, 3 , 43.
- GAMBACORTA, L., HOFMANN, B. & PEERSMAN, G. (2014). The effectiveness of unconventional monetary policy at the zero lower bound: A cross‐country analysis. Journal of Money, Credit and Banking, 46 , 615-642.
- GE, L. B. W. (2011). On the Credit Creation of Shadow Banking and Its Impact on the Monetary Policy [J]. Journal of Financial Research, 12 , 008.
- GERTLER, M. & KARADI, P. (2011). A model of unconventional monetary policy. Journal of monetary Economics, 58 , 17-34.
- HAISEN, H. & YAZDIFAR, H. (2015). Impact of the shadow banking system on monetary policy in China. ICTACT Journal on Management Studies, 1 , 1-12.
- HELLWIG, M. (2015). Financial stability and monetary policy. Bonn: Max Planck Institute for Research on Collective Goods. Available at https://www.coll.mpg.de/pdf_dat/2014_09online.pdf.
- HOVE, S., MAMA, A. T. & TCHANA, F. T. (2015). Monetary policy and commodity terms of trade shocks in emerging market economies. Economic Modelling, 49 , 53-71.
- KILIAN, L. (2011). Structural Vector Autoregressions. CEPR Discussion Papers.
- KLAEFFLING, M. (2003). Monetary policy shocks-a nonfundamental look at the data. ECB Working Paper.
- KNOOP, T. A. (2008). Modern financial macroeconomics: panics, crashes, and crises , Wiley-Blackwell.
- LAEVEN, L., LEVINE, R. & MICHALOPOULOS, S. (2015). Financial innovation and endogenous growth. Journal of Financial Intermediation, 24 , 1-24.
- LOUTSKINA, E. (2011). The role of securitization in bank liquidity and funding management. Journal of Financial Economics, 100 , 663-684.
- LOVE, I. & ZICCHINO, L. (2006). Financial development and dynamic investment behavior: Evidence from panel VAR. The Quarterly Review of Economics and Finance, 46 , 190-210.
- MAZELIS, F. (2014). Monetary Policy Effects on Financial Intermediation via the Regulated and the Shadow Banking Systems. Humboldt University, Collaborative Research Center 649.
- MOREIRA, A. & SAVOV, A. (2017). The macroeconomics of shadow banking. The Journal of Finance, 72 , 23812432.
- NELSON, B., PINTER, G. & THEODORIDIS, K. (2018). Do contractionary monetary policy shocks expand shadow banking? Journal of Applied Econometrics, 33 , 198-211.
- NICKELL, S. (1981). Biases in dynamic models with fixed effects. Econometrica: Journal of the Econometric Society , 1417-1426.
- PALIGOROVA, T. & SANTOS, J. A. 2017. Monetary policy and bank risk-taking: Evidence from the corporate loan market. Journal of Financial Intermediation, 30 , 35-49.
- PESARAN, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper.
- PESARAN, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of applied econometrics, 22 , 265-312.
- SARAFIDIS, V. & WANSBEEK, T. (2012). Cross-sectional dependence in panel data analysis. Econometric Reviews, 31 , 483-531.
- SIMPASA, A., NANDWA, B. & NABASSAGA, T. (2014). Bank Lending Channel of Monetary Policy Transmission in Zambia: Evidence from Bank-Level Data.
- SIMS, C. A. (1980). Macroeconomics and reality. Econometrica: Journal of the Econometric Society , 1-48.
- SMETS, F. (2014). Financial stability and monetary policy: How closely interlinked? International Journal of Central Banking, 10 , 263-300.
- SMITH, L. & GALESI, A. (2014). GVAR Toolbox 2.0. University of Cambridge: Judge Business School .
- STOCK, J. H. & WATSON, M. W. (2001). Vector autoregressions. The Journal of Economic Perspectives, 15 , 101115.
- VERONA, F., MARTINS, M. & DRUMOND, I. (2013). (Un) anticipated Monetary Policy in a DSGE Model with a Shadow Banking System. International Journal of Central Banking, 9 , 78-124.
- XIANG, Q. & QIANGLONG, Z. (2014). Shadow Banking and Monetary Policy Transmission. Economic Research Journal, 5 , 008.
- XIAO, K. (2018). Monetary Transmission in Shadow Banks. New York: Columbia Business School. Available online at http://utahwfc.org/uploads/2018_paper_04d.pdf.
- ZHOU, S. & TEWARI, D. D. (2019a). Shadow banking, cross-border shocks, and financial stability in emerging economies: a global VAR analysis. African Journal of Business and Economic Research, 14 , 159-184.
- ZHOU, S. & TEWARI, D. D. (2019b). Shadow Banking, Risk Taking and Monetary Policy in Emerging Countries: A Panel Cointegration Approach. Cogent Economics & Finance , 1636508.
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Vol. 11 No. 6(J) (2019)
Monetary Policy, Culture & Financial Resilience
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