Ownership concentration, earnings management and stock market liquidity: evidence from Malaysia

Abstract

Purpose This paper aims to examine whether ownership concentration and earnings management affect the stock market liquidity of Malaysian firms. Design/methodology/approach This study uses a sample of 2,020 yearly firm observations in Bursa Malaysia over the period 2009-2012. The ordinary least square regression is used to examine the relationships. The study undertakes a sensitivity test by regressing the main study variables by using different measurements. Another robustness test is then used, where a regression based on the change in variables and a one-year lag of the independent variables are used. Furthermore, to alleviate the concern of possible endogeneity, the simultaneity and reverse causality are checked using the lag of the dependent variable, fixed effect regression, two-stage least squares using the instrumental variables and the generalized method of moments using instrumental variables analysis. Findings The study finds that firms with a high level of ownership concentration have discrepancies in information between informed and uninformed traders, which impair the stock market liquidity. In addition, this study finds that firms with high earnings management experience greater liquidity. A possible explanation for this is that firms might manage earnings to convey private information to enhance the information content of the earnings. Overall, the evidence suggests that manipulating earnings signals information informatively, particularly in a country with a higher level of ownership concentration and a higher likelihood of expropriating minority shareholders. Originality/value This study enriches the limited empirical research devoted to the impact of earnings management and ownership concentration on stock market liquidity especially in the context of emerging economies. The findings of this study are robust to alternative liquidity measurements, to alternative estimation methods, and to endogeneity bias.