[1] Akhter, N. (2023). Determinants of commercial bank’s non-performing loans in Bangladesh: An empirical evidence. Cogent economics & finance, 11(1), 2194128. https://doi.org/10.1080/23322039.2023.2194128
[2] Alnabulsi, K., Kozarević, E., & Hakimi, A. (2023). Non-performing loans as a driver of banking distress: A systematic literature review. Commodities, 2(2), 111–130. https://doi.org/10.3390/commodities2020007
[3] Nkusu, M. M. (2011). Nonperforming loans and macrofinancial vulnerabilities in advanced economies. International Monetary Fund, 11(161), 27. http://dx.doi.org/10.5089/9781455297740.001
[4] Bastanzad, H. (2021). Financing value chains in production through money market instruments in different sectors of Iran’s economy. Monetary And Banking Research Institute (In Persian.). https://B2n.ir/tx1715
[5] Sinha, R. P., Vaisi, B., & Edalatpanah, S. A. (2024). Does managerial ability promote firm efficiency? an evidence from Indian banking industry. Journal of applied research on industrial engineering, 11(4), 518–535. https://doi.org/10.22105/jarie.2024.448994.1600
[6] Saunders, A., Cornett, M. M., & Erhemjamts, O. (2021). Financial institutions management: A risk management approach. McGraw-Hill. https://B2n.ir/np8087
[7] Samad, A. (2012). Credit risk determinants of bank failure: Evidence from US bank failure. International business research, 5(9), 10–15. http://dx.doi.org/10.5539/ibr.v5n9p10
[8] Anita, S. S., Tasnova, N., & Nawar, N. (2022). Are non-performing loans sensitive to macroeconomic determinants? An empirical evidence from banking sector of SAARC countries. Future business journal, 8(1), 7. https://doi.org/10.1186/s43093-022-00117-9
[9] E souza, G. J. de G., & Feijó, C. A. (2011). Credit risk and macroeconomic interactions: Empirical evidence from the Brazilian banking system. Modern economy, 2(5), 910–929. https://doi.org/10.4236/me.2011.25102
[10] Naili, M., & Lahrichi, Y. (2022). The determinants of banks’ credit risk: Review of the literature and future research agenda. International journal of finance & economics, 27(1), 334–360. https://doi.org/10.1002/ijfe.2156
[11] Faghih, M. (2004). Credit risk management and its policies. Bank and economy journal, 46, 70. (In Persian.). https://www.magiran.com/volume/7920
[12] Saita, F. (2003). Measuring risk-adjusted performances for credit risk. Citeseer. https://B2n.ir/fg1998
[13] Sharafat Jahromi, M. N., & Sedaghat Parast, E. (2014). Nonperforming loans impacts on inflation and production. Quarterly journal of economics and modeling, shahid beheshti university, 4(14–15), 158-189 (In Persian.). https://ecoj.sbu.ac.ir/article_53496.html?lang=en
[14] Raza, H., Irawan, D., & Ilham, R. (2022). Strategy to maximize domestic internal monetary factors in overcoming non-performing loans (NPL) of rural banks during covid-19 pandemic: An emperical study from indonesia. 1270-1278. The seybold report, 7(106), 1270–1278. https://doi.org/10.5281/zenodo.6731475
[15] Sezavar, M., Khazaei, A., & Eslamian, M. (2021). A study of the phenomenon of non-performing loans and their comparison with some countries (with emphasis on the role of the law of interest-free banking operations in Iran). Journal of economic research and policies, 29(97), 263–282 (In Persian.). https://qjerp.ir/article-1-2748-fa.html
[16] Sepahvand, M., & Abolhasani, M. (2010). The impact of banking sanctions and fluctuations of selected economic variables on the volume of foreign currency claims of the export development bank of Iran. [Thesis]. (In Persian.). https://civilica.com/doc/236849
[17] Mehrabi, L. (2014). Assessment of non-performing loans in Iran’s banking system and comparison with other countries. (In Persian.) https://B2n.ir/fr1940
[18] Islam, U., Anjum, N., Masum, A. K. M., & Arafat, A. Y. (2022). Forecasting of bank performance using hybrid machine learning techniques. 2022 international conference on innovations in science, engineering and technology (ICISET) (pp. 433–438). IEEE. https://doi.org/10.1109/ICISET54810.2022.9775833
[19] Radivojević, N., Cvijanović, D., Sekulic, D., Pavlovic, D., Jovic, S., & Maksimović, G. (2019). Econometric model of non-performing loans determinants. Physica a: Statistical mechanics and its applications, 520, 481–488. https://doi.org/10.1016/j.physa.2019.01.015
[20] Konstantakis, K. N., Michaelides, P. G., & Vouldis, A. T. (2016). Non performing loans (NPLs) in a crisis economy: Long-run equilibrium analysis with a real time VEC model for Greece (2001-2015). Physica a: statistical mechanics and its applications, 451, 149–161. https://doi.org/10.1016/j.physa.2015.12.163
[21] Marcos, D. S., & S., Divino, Jose, A. (2013). The role of banking regulation in an economy under credit risk and liquidity shock. North american journal of economics and finance, available at sciverse sciencedirect, 30, 16. http://dx.doi.org/10.1016/j.najef.2013.02.005
[22] Tehrani, R., & Shams, F. (2005). Designing and explaining a credit risk model in the country’s banking system. Journal of social and human sciences, shiraz university, 22(5), 45–60. (In Persian.) https://B2n.ir/xt3676
[23] Thanda, S. (2020). “What is logistic regression? “. https://careerfoundry.com/en/blog/data-analytics/what-is-logistic-regression/
[24] Momeni, M., & Fa’al Qayoumi, A. (2011). Statistical analysis using SPSS. Tehran: Author, 5th Ed. https://B2n.ir/fe5659
[25] Yang, C. C. (2017). Reduction of non-performing loans in the banking industry: An application of data envelopment analysis. Journal of business economics and management, 18(5), 833–851. https://www.ceeol.com/search/article-detail?id=946842