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Determinants of Non-Performing Loan in South Asia: The Role of Financial Crisis

Journal Name:

  • Eurasian Journal of Business and Economics

Publication Year:

  • 2017
DOI: 
https://doi.org/10.17015/ejbe.2017.020.07.

Key Words:

Author Name
Abstract (2. Language): 
The purpose of the study is to recognize the factors influencing non-performing loan in banking system of South Asian region for the period of 1999-2015. Generalized method of moment (GMM) is used to grasp the hetero nature of data at variant countries and apply impulse response function for robustness of results. The study results reveals that NPL is influenced by both macroeconomic indicators and bank-specific variables (although the bank-specific variables found to be low explanatory power due to their time variant indulgence, which marginally surge the within explanatory impact of every group while diminishes the between influence in the fixed effect estimations). The analysis indicates that NPL response to macroeconomic determinants is more significant in the post crisis period than pre crisis period. The scenario is suggesting that the level of NPL adversely affecting the economic recovery system in South Asian region.
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  • 20
105
124
  • Turkish

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REFERENCES

References: 

Arellano, M. & O. Bover. (1995). Another Look at the Instrumental-Variable Estimation of
Error-Components. Journal of Econometrics, 68, 29–52. https://doi.org/10.1016/0304-
4076(94)01642-D
Berger, A. & R. DeYoung. (1997). Problem Loans and Cost Efficiency in Commercial Banks.
Journal of Banking and Finance, 21, 849–870. https://doi.org/10.1016/S0378-
4266(97)00003-4
Blundell, R., & S. Bond. (1998). Initial conditions and moment restrictions in dynamic panel
data models. Journal of Econometrics, 87, 115–143. https://doi.org/10.1016/S0304-
4076(98)00009-8
Obaid Ur REHMAN
Page | 124 EJBE 2017, 10(20)
Caselli S., Gatti S. & Querci F. (2008). The sensitivity of the loss given default rate to
systematic risk: New empirical evidence on bank loans. Journal of Financial Services Research
34, 1-34. https://doi.org/10.1007/s10693-008-0033-8
Durbin, J., & Watson, G. S. (1951). Testing for serial correlation in least squares regression. II.
Biometrika, 38(1-2), 159-178. https://doi.org/10.2307/2332325
Espinosa, R., & A. Prasad. (2010). Nonperforming Loans in the GCC Banking Systems and
their Macroeconomic Effects. IMF Working Paper 10/224 Washington: International
Monetary Fund.
Fofack, H. (2005). Non-performing Loans in Sub-Saharan Africa: Causal Analysis and
Macroeconomic Implications. World Bank Policy Research Working Paper, No. 3769.
https://doi.org/10.1596/1813-9450-3769
Jimenez, G., & J. Saurina. (2005). Credit cycles, credit risk, and prudential regulation. Banco
de Espana, January.
Klein, N. (2013). Non-performing loans in CESEE: Determinants and impact on
macroeconomic performance. IMF Working Paper, 13/72.
https://doi.org/10.5089/9781484318522.001
Kmenta, J. (1986). Elements of Econometrics. New York: Macmillan
Keeton, W. R., & Morris, C. S. (1987). Why do banks' loan losses differ? Economic Review-
Federal Reserve Bank of Kansas City, 72(5), 3.
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.
https://doi.org/10.1016/j.jbankfin.2011.10.012
Love, I. & L. Zicchino. (2006). Financial Development and Dynamic Investment Behavior:
evidence from Panel VAR. The Quarterly Review of Economics and Finance, 46, 190–210.
https://doi.org/10.1016/j.qref.2005.11.007
Nkusu, M. (2011). Nonperforming loans and macro financial vulnerabilities in advanced
economies. IMF Working Paper, 11/161. https://doi.org/10.5089/9781455297740.001
Odell, P. L. (1983). Gauss–Markov theorem. Encyclopedia of statistical sciences.
Parks, Richard W. (1967). Efficient estimation of a system of regression equations when
disturbances are both serially and contemporaneously correlated. Journal of American
Statistical Association 62, 500-509. https://doi.org/10.1080/01621459.1967.10482923
Podpiera, J. & L. Weill. (2008). Bad Luck or Bad Management? Emerging Banking Market
Experience. Journal of Financial Stability, 4(2), 135–148.
https://doi.org/10.1016/j.jfs.2008.01.005
Rajan, R. & S.C. Dahl. 2003. Non-performing Loans and Terms of Credit of Public Sector
Banks in India: An Empirical Assessment. Occasional Papers, 24/3 Reserve Bank of India.
Reinhart, C. & Rogoff, K. (2010). From Financial Crash to Debt Crisis. NBER Working Paper
15795. https://doi.org/10.3386/w15795
Salas, V. & J. Saurina. (2002). Credit Risk in Two Institutional Regimes: Spanish Commercial
and Savings Banks. Journal of Financial Services Research, 22(3), 203–224.
https://doi.org/10.1023/A:1019781109676
Williams, J. (2004). Determining Management Behavior in European Banking. Journal of
Banking and Finance, 28, 2427–2460. https://doi.org/10.1016/j.jbankfin.2003.09.010.

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