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International Journal of Nonlinear Analysis and Applications، جلد ۱۲، شماره ۲، صفحات ۲۳۸۳-۲۴۰۱
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عنوان انگلیسی Application of Nonlinear Mathematical Modeling in Panel data analyses of the pecking order theory in capital structure Using Multiple Regression: Evidence from the Tehran Stock Exchange
چکیده انگلیسی مقاله Financing decisions for investment are one of the important tasks of the company in determining the best composition. On the other hand, how to finance the company’s assets for individuals and institutions is important, and how much debt and stocks the company has used to finance its assets, is important because it depends on the company’s financing decisions will be affected. This study investigates the application of nonlinear mathematical modeling in panel data analyses of the pecking order theory in capital structure using multiple regression in the Tehran stock exchange. The research period is from 2014 to 2019. In this research, panel data regression has been used to test the hypotheses. To collect information and data, the library method, and to test the research hypotheses, panel data and panel analysis using multiple regression have been used. The main hypothesis of this research is based on the fact that in order to Management decisions about the optimal capital structure of the company can be based on the theory model of the pecking order. In the results of this study, it seems that the companies in question to finance themselves, in fact, follow the mathematical model used in the theory of pecking order.
کلیدواژه‌های انگلیسی مقاله Capital structure, financial deficit, Nonlinear statistical model of pecking order theory
نویسندگان مقاله Amin Heydari |
Department of Accounting, Borujerd Branch, Islamic Azad University, Borujerd, Iran

Mahmoud Hematfar |
Department of Accounting, Borujerd Branch, Islamic Azad University, Borujerd, Iran.

Mohammad Hassan Janani |
Department of Accounting, Boroujerd branch, Islamic Azad University, Boroujerd, Iran.

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_5376_be40db5c9a2a801434be706f2138cb7d.pdf
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