Sahraei, Fatemeh, Jamali, Jafar, Vakilifard, Hamid Reza, Zare, Ali, Zeraatkish, Seyed Yaghoub. (1402). Prioritization of factors affecting the exit from the bankruptcy of companies listed in the Tehran Stock Exchange. هنرهای کاربردی, 15(3), 329-336. doi: 10.22075/ijnaa.2023.30316.4381
Fatemeh Sahraei; Jafar Jamali; Hamid Reza Vakilifard; Ali Zare; Seyed Yaghoub Zeraatkish. "Prioritization of factors affecting the exit from the bankruptcy of companies listed in the Tehran Stock Exchange". هنرهای کاربردی, 15, 3, 1402, 329-336. doi: 10.22075/ijnaa.2023.30316.4381
Sahraei, Fatemeh, Jamali, Jafar, Vakilifard, Hamid Reza, Zare, Ali, Zeraatkish, Seyed Yaghoub. (1402). 'Prioritization of factors affecting the exit from the bankruptcy of companies listed in the Tehran Stock Exchange', هنرهای کاربردی, 15(3), pp. 329-336. doi: 10.22075/ijnaa.2023.30316.4381
Sahraei, Fatemeh, Jamali, Jafar, Vakilifard, Hamid Reza, Zare, Ali, Zeraatkish, Seyed Yaghoub. Prioritization of factors affecting the exit from the bankruptcy of companies listed in the Tehran Stock Exchange. هنرهای کاربردی, 1402; 15(3): 329-336. doi: 10.22075/ijnaa.2023.30316.4381

Prioritization of factors affecting the exit from the bankruptcy of companies listed in the Tehran Stock Exchange

International Journal of Nonlinear Analysis and Applications
مقاله 26، دوره 15، شماره 3، خرداد 2024، صفحه 329-336    اصل مقاله (443.42 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.30316.4381
نویسندگان
Fatemeh Sahraei1؛ Jafar Jamali1؛ Hamid Reza Vakilifard2؛ Ali Zare3؛ Seyed Yaghoub Zeraatkish4
1Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2Department of Accounting, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
3Department of Law, Faculty of Theology and Political Sciences, Sciences and Research Branch, Islamic Azad University, Tehran, Iran
4Department of Agricultural Economic, Faculty of Agricultural Sciences and Food Engineering, Sciences and Research Branch, Islamic Azad University, Tehran, Iran
چکیده
Companies should evaluate the nature of the crisis after a detailed pathology of the factors causing the problem and look for appropriate solutions to get out of this crisis. This study was conducted on 144 companies from 2010-2021 to prioritize the factors affecting the exit from bankruptcy and financial revival of the companies using the analysis of multiplayer artificial neural networks. First, financial ratios obtained from the literature review and expert evaluation were independentist of each other through principal component analysis. Then, the main components affecting exit from bankruptcy under logistic regression models were identified, and finally, the final logistic model for exit from bankruptcy was presented. Based on the results, the essential financial variable in exiting bankruptcy is the change in capital increase policies from the place of stock issuance. The least critical variable is the change in dividend policies.
کلیدواژه‌ها
bankruptcy؛ exit from bankruptcy؛ financial revival؛ artificial neural network
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