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Applying Combined Approach of Sequential Floating Forward Selection and Support Vector Machine to Predict Financial Distress of Listed Companies in Tehran Stock Exchange Market
Saeid Fallahpour1  Eisa Norouzian2  Reza Raei3 
[1] Assistant Prof., Department of Finance, Faculty of Management, University of Tehran, Tehran, Iran;MSc. Student, Department of Financial Engineering, Faculty of Management, University of Tehran, Tehran, Iran;Prof., Department of Finance, Faculty of Management, University of Tehran, Tehran, Iran;
关键词: feature selection;    sequential floating forward selection;    wrapper;    financial distress;    hybrid models;   
DOI  :  10.22059/frj.2018.113928.1005868
来源: DOAJ
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