關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Building growth and value hybrid valuation model with errors-in-variables regression

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序號 學年期 教師動態
1 106/2 土木系 葉怡成 教授 期刊論文 發佈 Building growth and value hybrid valuation model with errors-in-variables regression , [106-2] :Building growth and value hybrid valuation model with errors-in-variables regression期刊論文Building growth and value hybrid valuation model with errors-in-variables regressionDerick Kong; Lin, Cheng Ping; Yeh, I-Cheng; Chang, WeiValuation;book value;return on equity;market value;errors-in-variables JEL CLASSIFICATION: G12;G14Applied Economics Letters 26(5), p.370-386Growth value model (GVM) considers stock intrinsic value as the synergy of book value and return on equity (ROE), which contains two parameters, value factor and growth factor. This study addresses the problem of independent variables having measurement errors by utilizing errors-in-variables regression to estimate accurate model parameters. Research findings show the following: (1) The regression curve derived by traditional regression analysis exhibits severe bias. Errors-in-variables regression is capable of correcting the bias. (2) Large-scale firms exhibit lower value factor and higher growth factor, which indicates that
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