Combined MCDM techniques for exploring stock selection based on Gordon model

被引:55
作者
Lee, Wen-Shiung [1 ]
Tzeng, Gwo-Hshiung [1 ]
Guan, Jyh-Liang [1 ]
Chien, Kuo-Ting [1 ]
Huang, Juan-Ming [1 ]
机构
[1] Kainan Univ, Dept Business & Enterpreneurial Management, Tao Yuan 33857, Taiwan
关键词
Gordon model; Dividend; Discount rate; Dividend growth rate; Multiple criteria decision making (MCDM); Analytical network process (ANP); REAL ACTIVITY; DIVIDEND POLICY; EXPERT-SYSTEMS; RETURNS; MARKET; RISK; INFORMATION; INFLATION; VOLATILITY; PRICES;
D O I
10.1016/j.eswa.2008.07.084
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Basing on the Gordon model perspective and applying multiple criteria decision making (MCDM), this research explores the influential factors and relative weight of dividend, discount rate, and dividend growth rate. The purpose is to establish an investment decision model and provides investors with a reference/selection of stocks most suitable for investing effects to achieve the greatest returns. Taking full consideration of the interrelation effect among variables of the decision model, this paper introduced analytical network process (ANP) and examined leading electronics companies spanning the hottest sectors of lens, solar, and handset by experts. Empirical findings indicated that dividend was affected by industry outlook, earnings, operating cash flow, and dividend payout rate; discount rate was affected by market beta and risk-free rate; and dividend growth rate was affected by earnings growth rate and dividend payout growth rate. Also, according to literatures, discount rate possessed a self-effect relationship. Among the eight evaluation criteria, market beta was the most important factor influencing investment decisions, followed by dividend growth rate and risk-free rate. In stock evaluations, leadership companies in the solar industry outperformed those in handset and lens, becoming investors' favorite stock group at the time that this research was conducted. (C) 2008 Published by Elsevier Ltd.
引用
收藏
页码:6421 / 6430
页数:10
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