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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 | ||
| تاریخ دریافت: 16 دی 1401، تاریخ بازنگری: 21 فروردین 1402، تاریخ پذیرش: 27 فروردین 1402 | ||
| 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 | ||
| مراجع | ||
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[1] I. Ghazzawi, Organizational turnaround: A conceptual framework and research agenda, Amer. J. Manag. 17 (2018), no. 7, 10–24. [2] V.Y. Lee, Corporate asset restructuring through mergers and acquisitions and divestitures, Ph.D. Thesis, University of Reading, 2021. [3] H. Rahman Saresht, Y. Hasas Yeganeh, M. Fallah Shams and M. Irandoust, A strategic model of in-crisis firms’ turnaround process, J. Buss. Manag. 6 (2014), no. 3, 497–516. [4] D. Ramalho, Financial distress and corporate turnaround strategies: an empirical analysis of 11 US industries, Master Dissertations, Repositorio Institucional da Universidade Catolica Portuguesa, 2021. [5] X. Zhang, R. Ouyang, D. Liu and L. Xu, Determinants of corporate default risk in China: The role of financial constraints, Econ. Model. 92 (2020), 87–98. | ||
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