Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks

Credit risk is one of the most important kinds of risk in banking sector. The relationship between business cycle and banks’ loan losses was one of the hot debates in recent economic literature especially with respect to financial stability analysis. The quality of loans can be one of the factors th...

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Main Authors: Alizadeh Janvisloo, Mohammadreza, Muhammad, Junaina
Format: Article
Language:English
Published: Scientific & Academic Publishing 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30846/
http://psasir.upm.edu.my/id/eprint/30846/1/Non-performing%20loan%20sensitivity.pdf
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author Alizadeh Janvisloo, Mohammadreza
Muhammad, Junaina
author_facet Alizadeh Janvisloo, Mohammadreza
Muhammad, Junaina
author_sort Alizadeh Janvisloo, Mohammadreza
building UPM Institutional Repository
collection Online Access
description Credit risk is one of the most important kinds of risk in banking sector. The relationship between business cycle and banks’ loan losses was one of the hot debates in recent economic literature especially with respect to financial stability analysis. The quality of loans can be one of the factors that limit the banks' loan supply and affect on investment spending. Although banks have a significant role in transmission of monetary policy; in the meantime their performance is strongly influenced by monetary and fiscal policies that are effective in recession and prosperity and thereby affect bank performance; in other words, macroeconomic variables can effect in/directly on banks loans quality and their transitional role. Thus policy makers and bankers are always concerned with the financial stability and are always looking for tools to better manage banks’ credit risk. One of the risk indicators that are used in literature of banks’ credit risk is Non-Performing Loans (NPL). Hence themain objective of thisstudy is to analyze relationship between banks loans quality and macroeconomic variables by using a dynamic panel data model on Malaysian commercial banking system for the 1997-2012 periods. The results show that there is a strong evidence of cyclical sensitivity of loan quality in Malaysia’s commercial banking system. Based on the results lending interest rate and FDI-net outflow (% GDP) are the most effective factors on NPL ratio with simultaneous positive effects and a reverse effect with one-year delay. It can be said that the impact of external shocks on the domestic banking system is more than internal shocks. The result of this study can be helpful to bank supervisory and economists to adjust banking system stability and economic policies.
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spelling upm-308462015-09-17T04:21:27Z http://psasir.upm.edu.my/id/eprint/30846/ Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks Alizadeh Janvisloo, Mohammadreza Muhammad, Junaina Credit risk is one of the most important kinds of risk in banking sector. The relationship between business cycle and banks’ loan losses was one of the hot debates in recent economic literature especially with respect to financial stability analysis. The quality of loans can be one of the factors that limit the banks' loan supply and affect on investment spending. Although banks have a significant role in transmission of monetary policy; in the meantime their performance is strongly influenced by monetary and fiscal policies that are effective in recession and prosperity and thereby affect bank performance; in other words, macroeconomic variables can effect in/directly on banks loans quality and their transitional role. Thus policy makers and bankers are always concerned with the financial stability and are always looking for tools to better manage banks’ credit risk. One of the risk indicators that are used in literature of banks’ credit risk is Non-Performing Loans (NPL). Hence themain objective of thisstudy is to analyze relationship between banks loans quality and macroeconomic variables by using a dynamic panel data model on Malaysian commercial banking system for the 1997-2012 periods. The results show that there is a strong evidence of cyclical sensitivity of loan quality in Malaysia’s commercial banking system. Based on the results lending interest rate and FDI-net outflow (% GDP) are the most effective factors on NPL ratio with simultaneous positive effects and a reverse effect with one-year delay. It can be said that the impact of external shocks on the domestic banking system is more than internal shocks. The result of this study can be helpful to bank supervisory and economists to adjust banking system stability and economic policies. Scientific & Academic Publishing 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30846/1/Non-performing%20loan%20sensitivity.pdf Alizadeh Janvisloo, Mohammadreza and Muhammad, Junaina (2013) Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks. American Journal of Economics, 3 (C). pp. 16-21. ISSN 2166-4951; ESSN: 2166-496X http://article.sapub.org/10.5923.c.economics.201301.04.html
spellingShingle Alizadeh Janvisloo, Mohammadreza
Muhammad, Junaina
Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks
title Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks
title_full Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks
title_fullStr Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks
title_full_unstemmed Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks
title_short Non-performing loans sensitivity to macro variables: panel evidence from Malaysian commercial banks
title_sort non-performing loans sensitivity to macro variables: panel evidence from malaysian commercial banks
url http://psasir.upm.edu.my/id/eprint/30846/
http://psasir.upm.edu.my/id/eprint/30846/
http://psasir.upm.edu.my/id/eprint/30846/1/Non-performing%20loan%20sensitivity.pdf