Altman, E. I., Iwanicz‐Drozdowska, M., Laitinen, E. K., & Suvas, A. (2017). Financial distress prediction in an international context: A review and empirical analysis of Altman's Z‐score model. Journal of International Financial Management & Accounting, 28(2), 131-171.
Babajani, J., Bolo, G. & Ghazali, A. (2018). A framework for measuring and predicting systemic risk with the marginal expected shortfall approach (MES) in Iran capital market. Journal of Financial Management Strategy, 6(22), 1-29. (In Prsian )
Bernal, O., Gnabo, J. Y. & Guilmin, G. (2014). Assessing the contribution of banks, insurance and other financial services to systemic risk. Journal of Banking & Finance, 47(C), 270-287.
Dastgir, Mohsen, Sajjadi, Seyed Hossein, & Moghadam, Javad. (2008). Predicting bankruptcy of companies using the logit model. Economic Journal, 8(31), 171-189.
Ghalibaf, Hassan, Afshar, Manijeh. (2013). Investigating the application of KMV model in predicting bankruptcy risk. Financial Engineering and Securities Management, 5(21), 75-88.
Hekmati Farid, Samad., Rezazadeh, Ali and Malik, Ali. (2017). Estimating systemic risk in the financial sectors of Iran's economy (the differential conditional risk exposure value approach). Economic Modeling, 12(3), 99-122.
Heydari, Mehdi, Ziari, Shokrale, Shayan Nia, Seyed Ahmed, Rashidi Kamijan, Alireza. (2021). Predicting financial bankruptcy of stock exchange companies using artificial neural network and firefly algorithm. Financial Engineering and Securities Management, 12(46), 691-716.
Homayoun Far, Mahdi, Toloi Ashlaghi, Abbas, Fadaei Ashkiki, Mahdi. (2012). Providing a suitable investment model for the interaction of industry and university with the approach of systems dynamics. Investment knowledge
Hosaka, T. (2019). Bankruptcy prediction using imaged financial ratios and convolutional neural networks. Expert systems with applications, 117, 287-299.
Kiani Rad, Bahman, Jamshidi Navid, Babak, Ghanbari, Mehrdad, & Jamshidpour, Ruholah. (2022). Designing a financial fragility assessment model for companies listed on the Iran Stock Exchange. Financial Management Strategy, 10(4), -. doi: 10.22051/jfm.2020.28688.2234
Kliestik, T., Misankova, M., Valaskova, K., & Svabova, L. (2018). Bankruptcy prevention: new effort to reflect on legal and social changes. Science and Engineering Ethics, 24(2), 791-803.
Nouqabi A. Zarezi, & Nakhai H. (2021). The relationship between bankruptcy and stock overvaluation and profit management and managers' overconfidence. Specialized Scientific Quarterly of New Research Approaches in Management and Accounting, 5(83), 1261-1280. Retrieved from https://majournal.ir/index.php/ma/article/view/1164
Papík, M., & Papíková, L. (2023). Impacts of crisis on SME bankruptcy prediction models’ performance. Expert Systems with Applications, 214, 119072.
Raei, Reza and Saeed Falahpour, (2014), "Forecasting companies' helplessness using artificial neural networks", Financial Research, 6(1), pp. 33-46.
Saidian, Majid. (2018). Examining the phenomenon of battering ram and its role in business failure. Business Management, 11(43), 158-174.
Salehi, M., & Pour, M. D. (2016). Bankruptcy prediction of listed companies on the Tehran Stock Exchange. International Journal of Law and Management, 58(5), 545-561.
Sun, J., Li, H., Huang, Q. H., & He, K. Y. (2014). Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches. Knowledge-Based Systems, 57, 41-56.
Vakilifard, Hamidreza, Nazanin Pilehvari and Seyedeh Samane Zaidi, (2013), "Presenting a model to predict the bankruptcy of companies listed on the Tehran Stock Exchange using an adaptive neural fuzzy inference system", Journal of Financial Engineering and Securities Management, 5(18), pp. 17-30.
Wieprow, J. M., & Barlik, J. (2017). Application of discriminant models in predicting a company's risk of bankruptcy. The Central European Review of Economics and Management (CEREM), 1(1), 121-134.
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