Application of methods radial neural network, Gaussian process regression in predicting financial constraints Companies admitted to the Tehran Stock Exchange

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Gholamzadeh Mohammadreza; Faghani Mahdi; pife ahmad

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Title

Application of methods radial neural network, Gaussian process regression in predicting financial constraints Companies admitted to the Tehran Stock Exchange

Author(s)

Gholamzadeh Mohammadreza | Faghani Mahdi | pife ahmad | Issue Writer Certificate

Keywords

financial constraintsQ1

radial neural networkQ1

Gaussian process regressionQ1

Abstract

One of the important issues in predicting financial constraints is the choice of predictor variables. In this study, we investigated the Gaussian process machine learning method and radial neural network to predict financial constraints. For this purpose, 208 companies from 1390 to 1396 have been selected as the statistical population. Due to the availability of information, all companies have been considered as a statistical sample. The results of this study showed that machine learning methods have the ability to predict the financial constraints of corporations admitted to Tehran Stock Exchange. Therefore, the main hypothesis of this research is confirmed and machine learning methods are an effective way to predict financial constraints. Also, the results showed that the company's value, operating cash flow ratio, financial leverage, return on assets, and the percentage of institutional owners had the most importance in predicting financial constraints.

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APA: Copy

Gholamzadeh, Mohammadreza, Faghani, Mahdi, & pife, ahmad. (2020). Application of methods radial neural network, Gaussian process regression in predicting financial constraints Companies admitted to the Tehran Stock Exchange. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 10(41 ), 286-311. SID. https://sid.ir/paper/396520/en

Vancouver: Copy

Gholamzadeh Mohammadreza, Faghani Mahdi, pife ahmad. Application of methods radial neural network, Gaussian process regression in predicting financial constraints Companies admitted to the Tehran Stock Exchange. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2020;10(41 ):286-311. Available from: https://sid.ir/paper/396520/en

IEEE: Copy

Mohammadreza Gholamzadeh, Mahdi Faghani, and ahmad pife, “Application of methods radial neural network, Gaussian process regression in predicting financial constraints Companies admitted to the Tehran Stock Exchange,” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 10, no. 41 , pp. 286–311, 2020, [Online]. Available: https://sid.ir/paper/396520/en

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