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Information Journal Paper

Title

EXAMINING THE ABILITY OF EVA MOMENTUM, EVA SPREAD AND CONVENTIONAL PERFORMANCE MEASURES TO PREDICT STOCK RETURN

Pages

  307-330

Keywords

ECONOMIC VALUE ADDED (EVA)Q2

Abstract

 Using data acquired from companies listed on TEHRAN STOCK EXCHANGE, during a five-year time period from 1388 to 1392, this study documents the impacts of economic value added (EVA), EVA spread, EVA MOMENTUM, and return on assets (ROA) on STOCK RETURN as a measure of investors’ wealth creation. EVA spread and EVA MOMENTUM are new methods of firms’ performance measurement constructed on the basis of EVA. EVA and ROA are the traditional methods of performance measurement widely used currently. EVA spread and EVA MOMENTUM are argued to have better ability in explaining the variance of STOCK RETURN compared to the two traditional methods. To test hypotheses, this study applies Multiple Linear Regression Model. The results indicate that EVA spread, EVA MOMENTUM, and ROA have significant effects on STOCK RETURN, while the relationship between EVA and STOCK RETURN is not significant. The regression coefficients of EVA spread and ROA are positive, but, it is found that the relationship between EVA MOMENTUM and STOCK RETURN is negative.

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  • Cite

    APA: Copy

    RAHNAMAY ROODPOSHTI, FRAYDOON, AHMADVAND, MAYSAM, & SADEHVAND, MOHAMMAD JAVAD. (2016). EXAMINING THE ABILITY OF EVA MOMENTUM, EVA SPREAD AND CONVENTIONAL PERFORMANCE MEASURES TO PREDICT STOCK RETURN. FINANCIAL RESEARCH, 18(2 ), 307-330. SID. https://sid.ir/paper/91228/en

    Vancouver: Copy

    RAHNAMAY ROODPOSHTI FRAYDOON, AHMADVAND MAYSAM, SADEHVAND MOHAMMAD JAVAD. EXAMINING THE ABILITY OF EVA MOMENTUM, EVA SPREAD AND CONVENTIONAL PERFORMANCE MEASURES TO PREDICT STOCK RETURN. FINANCIAL RESEARCH[Internet]. 2016;18(2 ):307-330. Available from: https://sid.ir/paper/91228/en

    IEEE: Copy

    FRAYDOON RAHNAMAY ROODPOSHTI, MAYSAM AHMADVAND, and MOHAMMAD JAVAD SADEHVAND, “EXAMINING THE ABILITY OF EVA MOMENTUM, EVA SPREAD AND CONVENTIONAL PERFORMANCE MEASURES TO PREDICT STOCK RETURN,” FINANCIAL RESEARCH, vol. 18, no. 2 , pp. 307–330, 2016, [Online]. Available: https://sid.ir/paper/91228/en

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