Abstract

Purpose- This study aims to investigate the possible relationship between market value added (MVA) and economic value-added momentum (EVAM). Besides, any possible linkage between leverage (in terms of the degree of combined leverage) and market value added is also tested. Methodology- This study conducts a time series analysis to the quarterly data of manufacturing industry, comprising Borsa Istanbul (BIST) listed manufacturing firms for the period of 2001.q2-2022.q4 to test MVA-EVAM relationship. It employs autoregressive distributed lag (ARDL) bounds testing approach, developed firstly by Pesaran and Shin (1999) and further revised by Pesaran, Smith and Shin (2001). The stationarity of the series is tested by the Augmented Dickey-Fuller (ADF) and Phillips and Perron (PP) unit root tests. Findings- Empirical findings from ARDL bounds testing approach refers the existence of long-run relationships between market value added and economic value added momentum; and market value added and degree of total leverage. The coefficients of the long-run form of ARDL model reveal that both economic value-added momentum and degree of combined leverage have statistically significant and negative effects on market value added. The estimated short-run coefficients indicate that economic value added momentum has significantly negative effect on market value added created as similar to the long-run finding. Another finding is that though leverage has significantly positive effect on market value added in the short-run, this positive effect turns out to be negative in lag one period. Conclusion- This study contributes to the literature on MVA-EVA relationship by employing autoregressive ARDL bounds testing approach to manufacturing industry comprising Borsa Istanbul (BIST) listed manufacturing firms of Turkey as an emerging market. Besides, the research model includes EVAM -as an independent variable- that is so rarely considered in existing literature. Keywords: Market value-added, economic value-added momentum, leverage, time series analysis, ARDL bounds testing approach. JEL Codes: G32, C32, C58

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