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Is refined economic value added more associated with stock return than accounting measures? The Malaysian evidence

Nakhaei, H. and Hamid, N. I. N. and Anuar, M. A. and Nakhaei, K. (2016) Is refined economic value added more associated with stock return than accounting measures? The Malaysian evidence. Society and Economy, 38 (1). pp. 69-85. ISSN 1588-9726

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Abstract

The paper tests the hypothesis on whether refined economic value added (REVA) is highly associated with stock return compared to traditional performance measures. The goal of the study is to provide empirical evidence on the relative and incremental information content of REVA and traditional performance measures, such as net income (NI), net operational profit after tax (NOPAT), and earning per share (EPS). The study involves 395 non-financial companies listed in Bursa Malaysia over the period of 2002-2011. Pearson correlation coefficient and panel data single and multiple regression models were employed to analyze the data. The empirical results indicate that the relative information content of the REVA was not greater than that of NI and NOPAT to explain stock returns. NI and NOPAT were highly correlated with stock return compared to REVA. Additionally, the incremental information content test indicated that REVA makes some additional contribution to information content beyond the NI, NOPAT, and EPS. Finally, the panel multiple regression models showed that there was a strong relationship between NI, NOPAT, and REVA with stock return, but there was no meaningful association between EPS and stock returns. Overall, the results do not support the hypothesis that REVA can be considered superior to traditional accounting measures in association with stock returns.

Item Type:Article
Uncontrolled Keywords:Earning per shares, Net income, Net operational profit after tax, Refined economic value added, Stock return
Subjects:H Social Sciences > HG Finance
Divisions:Education
ID Code:73797
Deposited By: Haliza Zainal
Deposited On:18 Nov 2017 07:15
Last Modified:18 Nov 2017 07:15

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