The prolonged movement of non-performing assets in both Indian public and private sector banks: A pragmatic assessment

References

• Akshay Kumar Mishra (2016), An Analysis of NPAs in Priority and Non-Priority Sectors with respect to Public Sector Banks in India, IOSR Journal of Business and Management (IOSR-JBM) e-ISSN: 2278-487X, p-ISSN: 2319–7668
   Google Scholar
• Anuj Kumar & Nishu Ayedee (2021) An interconnection between COVID-19 and climate change problem, Journal of Statistics and Management Systems, 24:2, 281-300, DOI: 10.1080/09720510.2021.1875568
   Web of Science ®Google Scholar
• Archana Bhatia, Bindu Roy & Anuj Kumar (2022) A review of tourism sustainability in the era of Covid-19, Journal of Statistics and Management Systems, DOI: 10.1080/09720510.2021.1995196
   Web of Science ®Google Scholar
• Bawa, J. K., Goyal, V., Mitra, S. K., & Basu, S. (2019). An analysis of NPAs of Indian banks: Using a comprehensive framework of 31 financial ratios. IIMB Management Review, 31(1), 51-62. doi: 10.1016/j.iimb.2018.08.004
   Web of Science ®Google Scholar
• Bhaskaran, R., Bhalla, L., Sarin, V., Kaur, S., Rahman, A., Singh, G., Bhattacharya, A.M., Jha, A.K. and Verma, P. (2016) ‘Non-performing assets of public and private sector banks in India – a comparative study’, Int. J. Services and Operations Management, Vol. 25, No. 2, pp.155–172. doi: 10.1504/IJSOM.2016.078891
   Google Scholar
• Chang HC, Huang GL, Yu CH. Information asymmetry phenomenon of lending behavior in banking industry: an empirical study on banks in Taiwan. Journal of Statistics and Management Systems. 2009 Mar 1;12(2):371-404. doi: 10.1080/09720510.2009.10701395
   Google Scholar
• Ghosh, S. (2019). Loan delinquency in banking systems: How effective are credit reporting systems?. Research in International Business and Finance, 47, 220-236. doi: 10.1016/j.ribaf.2018.07.011
   Web of Science ®Google Scholar
• Gulati, R., Goswami, A., & Kumar, S. (2019). What drives credit risk in the Indian banking industry? An empirical investigation. Economic Systems, 43(1), 42-62.
   Google Scholar
• Johannes Tshepiso Tsoku & Ntebogang Dinah Moroke (2018) Pairs trading in JSE financial sector, Journal of Statistics and Management Systems, 21:5, 877-899, DOI: 10.1080/09720510.2018.1467647
   Web of Science ®Google Scholar
• Kaur, M., & Kumar, R. (2018). Bank Specific and Macro Determinants Influencing Non Performing Assets in Indian Public Sector Banks. Pacific Business Review International, 10(7).
   Web of Science ®Google Scholar
• Kjosevski, J., Petkovski, M., & Naumovska, E. (2019). Bank-specific and macroeconomic determinants of non-performing loans in the Republic of Macedonia: Comparative analysis of enterprise and household NPLs. Economic research-Ekonomska istraživanja, 32(1), 1185-1203. doi: 10.1080/1331677X.2019.1627894
   Web of Science ®Google Scholar
• Krishna Murari (2014), Comparative Evaluation of Non-Performing Assets of Indian Banks: A Study of Public and Private Sector Banks, Asian Journal of Research in Banking and Finance ISSN 2249-7323, Vol. 4, No. 5, May 2014, pp.232-247.
   Google Scholar
• Kumar, A. (2019a). Relationship and co-integration of Nifty 50 Future index with Advanced Country Future index. Journal of Advanced Research in Dynamical and Control Systems, 11(10-SPECIAL ISSUE), 197–203. https://doi.org/10.5373/jardcs/v11sp10/20192791
   Google Scholar
• Kumar, A. (2019b). Volatility clustering and model development for NSE index future and spot index through Arch/GARCH models, 11(10-SPECIAL ISSUE), 221-227. https://doi.org/10.5373/jardcs/v11sp10/20192794
   Google Scholar
• Kumar, A., & Biswal, S. K. (2019). Impulsive clustering and leverage effect of emerging stock market with special reference to Brazil, India, Indonesia. and Pakistan. J. Adv. Res. Dyn. Control Syst, 11, 33-37 doi: 10.5373/JARDCS/V11SP11/20192925
   Google Scholar
• Kumar, R. R., Stauvermann, P. J., Patel, A., & Prasad, S. S. (2018). Determinants of non-performing loans in banking sector in small developing island states. Accounting Research Journal.
   Web of Science ®Google Scholar
• Li Y, Hu JL, Liu HW. Non-performing loans and bank efficiencies: an application of the input distance function approach. Journal of Statistics and Management Systems. 2009 May 1;12(3):435-50. doi: 10.1080/09720510.2009.10701399
   Google Scholar
• P. S. Lintilhac & A. Tourin (2017) Model-based pairs trading in the bitcoin markets, Quantitative Finance, 17:5, 703-716, DOI: 10.1080/14697688.2016.1231928
   Web of Science ®Google Scholar
• Pradhan, T. K. (2012). Management of NPA in the commercial banks in Odisha: An empirical analysis. International Journal of Scientific and Research Publications, 2(9), 1-5.
   Google Scholar
• Sinan Krückeberg & Peter Scholz (2020) Decentralized Efficiency? Arbitrage in Bitcoin Markets, Financial Analysts Journal, 76:3, 135-152, DOI: 10.1080/0015198X.2020.1733902
   Web of Science ®Google Scholar
• Singh, A., Madaan, G., Swapna & Kumar, A., 2022. Smart manufacturing systems: a futuristics roadmap towards application of industry 4.0 technologies. International Journal of Computer Integrated Manufacturing, pp. 1-15. doi: 10.1080/0951192X.2022.2090607
   Web of Science ®Google Scholar
• Yurttadur, M., Celiktas, E., & Celiktas, E. (2019). The Place of Non-performing Loans in the Turkish Banking Sector. Procedia Computer Science, 158, 766-771. doi: 10.1016/j.procs.2019.09.113
   Google Scholar