Bahruddin, Wan Athirah and Masih, Mansur (2018): Is the relation between lending interest rate and non-performing loans symmetric or asymmetric ? evidence from ARDL and NARDL.
PDF
MPRA_paper_91565.pdf Download (1MB) |
Abstract
Lending interest rate has an inherent implicit cost on the credit issued by banks with implication on loan defaults. In this regard, high level of non-performing loans ( NPLs) will depress economic growth owing to many banks refusing to lend. This paper makes the initial attempt to test the non-linear asymmetric relationships between lending interest rate and NPLs by using the NARDL approach and provides a direction of Granger causality between the lending interest rate and NPLs. Malaysia is used as a case study. The finding tends to indicate that lending interest rate and NPLs has an asymmetric relationship in the short-run and symmetric relationship in the long-run. This paper suggests that banks can improve their quality credit management by streamlining their collection process and the quality of customers in order to reduce the number of NPLs in the short-run. Besides, banks can keep their total risk low by diversifying their loan portfolios.
Item Type: | MPRA Paper |
---|---|
Original Title: | Is the relation between lending interest rate and non-performing loans symmetric or asymmetric ? evidence from ARDL and NARDL |
English Title: | Is the relation between lending interest rate and non-performing loans symmetric or asymmetric ? evidence from ARDL and NARDL |
Language: | English |
Keywords: | Lending interest rates, non-performing loans, ARDL, NARDL, Malaysia |
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 C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy |
Item ID: | 91565 |
Depositing User: | Professor Mansur Masih |
Date Deposited: | 18 Jan 2019 18:58 |
Last Modified: | 26 Sep 2019 08:33 |
References: | Asari, F. F. A. H., Muhamad, N. A., Ahmad, W., Latif, N. I. A., Addullah, N., & Jusoff, K. (2011). An analysis of non-performing loan, interest rate and inflation rate using STATA software. World Applied Sciences Journal, 12, 41-48. Badar, M., & Javid, A. Y. (2013). Impact of macroeconomic forces on nonperforming loans: An empirical study of commercial banks in Pakistan. wseas Transactions on Business and Economics, 10(1), 40-48. Beck, R., Jakubik, P., & Piloiu, A. (2013). Non-performing loans: What matters in addition to the economic cycle? European Central Bank, Working paper series, number 1515, February. Bonin, J. P., & Huang, Y. (2001). Dealing with the bad loans of the Chinese banks. Journal of Asian Economics, 12(2), 197-214. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427-431. Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4),1057-1072. Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica, 52(2), 251-276. Farhan, M., Sattar, A., Chaudhry, A. H., & Khalil, F. (2012). Economic determinants of non-performing loans: perception of Pakistani bankers. European journal of business and management, 4(19), 87-99. Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59, 1551-1580. Loh, C. Y., Chai, Y. S., Chong, S. Y., Lee, B. S., & Tan, S. Y. (2015). Macroeconomic variables on banks' non-performing loans in Malaysia, A group research project in partial fulfilment for the degree of B.B.A.(Hons), Department of Banking and Finance, Universiti Tunku Abdul Rahman, Malaysia. Louzis, D. P., Vouldis, A. T., & Metaxas, V. L. (2012). Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking & Finance, 36(4), 1012-1027. Pesaran M H and Shin Y (1999) ‘An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis’ in S Strom, (ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, Cambridge: Cambridge University Press. Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289-326. Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. Pullicino, K. (2016). Impact of macroeconomic variables on non-performing loans: an empirical study of commercial banks in Malta, Italy, Spain, France and UK (Bachelor's thesis, University of Malta). Rizvi, W., & Khan, M. M. S. (2015). The Impact of Inflation on Loan Default: A Study on Pakistan. Australian Journal of Business and Economic Studies, 1(1), 87-94. Shin, Y., Yu, B., and Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Horrace, W.C. and Sickles, R. C.(eds), Festschrift in Honor of Peter Schmidt. Springer Science & Business Media, New York, 281-314 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/91565 |