Applying Combined Approach of Sequential Floating Forward Selection and Support Vector Machine to Predict Financial Distress of Listed Companies in Tehran Stock Exchange Market
<strong>Objective:</strong> Nowadays, financial distress prediction is one of the most important research issues in the field of risk management that has always been interesting to banks, companies, corporations, managers and investors. The main objective of this study is to develop a hi...
Main Authors: | Saeid Fallahpour, Reza Raei, Eisa Norouzian |
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Format: | Article |
Language: | fas |
Published: |
University of Tehran
2018-11-01
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Series: | تحقیقات مالی |
Subjects: | |
Online Access: | https://jfr.ut.ac.ir/article_68609_c1e394839433ecf33e259418cf729bfb.pdf |
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