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Factors Contributing to Non-Performing Assets in India: An Empirical Study


Affiliations
1 Department of Commerce, University of Calcutta, West Bengal, India
2 Department of Commerce, University of Calcutta, West Bengal, India
 

Non-performing Asset is an important parameter in the analysis of financial performance of a bank as it results in decreasing margin and higher provisioning requirements for its doubtful assets.The paper identifies ten factors responsible for generation of NPAs through reviewing literature on Indian banking industry. Then, data collected from the publications of the Govt. of India for the period of 1997-2017, have been processed using Multiple liner regression technique to calculate the explanatory power of independent factors and their significance for generation of NPAs. The study finds that non priority sector lending has higher contribution in NPAs than priority sector lending. Also, gross domestic product, cash reserve ratio, repo rate, exchange rate, inflation, provision, taxation, fiscal deficit have significant contribution in generation of NPAs

Keywords

NPAs, Non-Priority Sector Lending, Gross Domestic Product, Provision, Multiple Regression.
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  • Begenau, J., Piazzesi, M. and Schneider, M. (2015). Banks' Risk Exposure, National Bureau of Economic Research, NBER Working Paper No. 21334. 1-48.

  • Bhuyan, R. and Rath, A. K. (2013). Management perspective of Non-performing Assets: A challenge for Indian Banking sector in the post economic reform Era, The Orissa Journal of Commerce, 34( 1). 93-107.

  • Borango, M. W. (2013). Factors contributing to Non-Performing loans in non-banking institution in Tanzania: A case study of national social security fund. Thesis submitted to University of Tanzania. 7-88. http://repository.out.ac.tz/847/1/BARONGO_-_DISSERTATION_FINAL.pdf

  • Chipalkatti, N. and Rishi, M. (2007). Do Indian Banks Understate their Bad Loans, The Journal of Developing Areas, 40( 2). 75-91.

  • Chaitanya, V. K. (2004) Causes of Non-Performing Assets in Public Sector Banks, Economic Research, 17(1). 16-30.

  • Dhal, S., Kumar, P. and Ansari, J. (2011). Financial Stability, Economic growth, Inflation and Monitory Policy Linkage in India: An Empirical Reflection, Reserve Bank of India Occasional Papers, 32( 3). 1-82.

  • Dubey, D.D. and Kumara, P. (2016). Impact of Non-Performing Assets on Stock market performance of listed bank stocks in India: An empirical assessment of how the two stocks- Non-Performing Assets and share are related, IQSR Journal of Economics and finance, Vol. 1(1). 16-22.

  • Ghosh Roy, S. (2014). Determinants of Non-Performing Assets in India-Panel Regression, Eurasian Journal of Economics and Finance, 2(3). 69-78.

  • Karim, Z., Chan, G. S. and Hasssan, S. (2010). Bank Efficiency and Non-Performing Loans: Evidence from Malaysia and Singapore, Parague Economic Paper, Vol. 2. 118-132.

  • Malhotra, M. and Laveena, M. (2014). Empirical Analysis of Non-Performing Assets Related to Private Sector Banks of India, International Journal of Management Excellence, 3(1). 386-391.

  • Maravarman, M. (2003). A Study on Non-Performing Assets of Indian public sector Banks, thesis submitted to Post Graduate and Research Department of Economics, Presidency College (autonomous),Chennai . 129-177. www.ijstm.com/images/short_ pdf/1486214969_S203_IJSTM.pdf

  • Narula, S. and Singla, N. (2014). Empirical study on Non-Performing Assets of Banks, International journal of Advance Research in Computer Science and Management Studies. 2, (1). 194-198.

  • Navaneethakrishnasamy, R., Sharmila Devi, M., and Mathivannan . S.,(2017) Position oF non performing assets in IDBI Bank, International Journal of Science and Managment, 6(2). 194-2001

  • Ramanadh, K. and Rajesham, Ch.(2013). Bank Credit, Economic Growth and Non-Performing Assets-An Analysis of Indian Commercial Banks, Journal of commerce and Accounting Research, Vol. 2, pp.19-30.

  • Rana, P. (2016). Analysis of Non-Performing Assets of Public Sector Banks in India International Journal of Advance Research in Computer Science and Management Studies, 4(6).352-359

  • Samantaraya, A.(2016). Pro -cyclical Credit Growth and Bank Non-Performing Assets in India, Economic & Political Weekly, 51(12). 112-119.

  • Selvarajan, B. and Vidivalagan, G. (2013). A Study on Management of Non-Performing Assets in priority Sector reference to Indian bank and Public sector Banks (PSBs), Global Journal of Management and Business Research, 13(13). 101-113.

  • Sengupta, R. and Bhardhan, H. (2017). Nonperforming assets in Indian Banks: This time it is different, Economic and Political Weekly, 52 (12). 85-95.

  • Shabbir, N. and Mujoo, R. (2014). Problem of Non-Performing Assets in Priority Sector Advances in India, Journal of Economics and Development Studies, 2( 1) 241-275.

  • Shrivastava,U., Pandey, B. B. and Patel, G. (2012). A Study to Measure Impact of GDP& Inflation ON Credit Risk Ratios of AXIS Banks, International Journal of Management, IT an Engineering, 2(8). 68-81.

  • Tsige, Z. (2013). Determinants of Non-Performing Loans: Empirical Study on Ethiopian Commercial Banks, Thesis submitted to Addis Ababa University, Ethiopia. 1-130. http://localhost:80/xmlui/handle/123456789/5792.


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  • Factors Contributing to Non-Performing Assets in India: An Empirical Study

Abstract Views: 464  |  PDF Views: 244

Authors

J. K. Das
Department of Commerce, University of Calcutta, West Bengal, India
Surojit Dey
Department of Commerce, University of Calcutta, West Bengal, India

Abstract


Non-performing Asset is an important parameter in the analysis of financial performance of a bank as it results in decreasing margin and higher provisioning requirements for its doubtful assets.The paper identifies ten factors responsible for generation of NPAs through reviewing literature on Indian banking industry. Then, data collected from the publications of the Govt. of India for the period of 1997-2017, have been processed using Multiple liner regression technique to calculate the explanatory power of independent factors and their significance for generation of NPAs. The study finds that non priority sector lending has higher contribution in NPAs than priority sector lending. Also, gross domestic product, cash reserve ratio, repo rate, exchange rate, inflation, provision, taxation, fiscal deficit have significant contribution in generation of NPAs

Keywords


NPAs, Non-Priority Sector Lending, Gross Domestic Product, Provision, Multiple Regression.

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DOI: https://doi.org/10.20968/rpm%2F2018%2Fvl6%2Fi2%2F141025