Khairunisah Ibrahim

Factors Affecting Speed of Adjustment to Target Leverage: Malaysia Evidence

This study focuses on the dynamic aspect of capital structure which is a relatively new area in the finance literature. By employing panel data, 790 of non-financial listed firms in Malaysia are examined for the period 2000–2009. Conducted using the dynamic Partial Adjustment Model and estimated based on the Generalized Method of Moment, this study investigates the existence of target capital structure, speed of adjustment and factors affecting speed of adjustment. There are evidences of target capital structure and firms do adjust to be at their target from time to time with a considerably rapid speed of adjustment, in line with dynamic trade-off theory. Firms in Malaysia are found to be under-adjusted, being below the required adjustment to be at the target within a year. Study on factors affecting speed of adjustment is a new contribution to the literature as no work has been done regarding this issue in Malaysia. This study also analyzes firm-specific factors affecting speed of adjustment. There is strong evidence on the negative relationship between the speed of adjustment and distance from target leverage suggesting fast adjustment if not being far from target. Firm size and profitability significantly influence speed of adjustment for firms in Malaysia.

Measuring efficiencies of Bangladeshi and Indonesian microfinance institutions: A data envelopment analysis and latent growth curve modeling approach

Purpose The purpose of this paper is to measure the technical efficiency and growth trajectory of Bangladeshi and Indonesian microfinance institutions (MFIs). The motivation for this study was derived from crucial roles that these institutions play in the socio-economic transformation of any nations, especially Bangladesh and Indonesia which are at least prominent in the Asian context in this regard. Rather than “proving” impact, research endeavors have shifted to focusing on “improving” the impact of MFIs, because the ability to improve their impact as socio-economic transformation platform may be hinged on their efficiency over time. Design/methodology/approach Data were obtained from MIX market database covering a five-year period from 2007 to 2011 for 20 Bangladeshi and 11 Indonesian MFIs. The data obtained were subjected to both efficiency and trajectory analysis using data envelopment analysis (DEA) based on Malmquist productivity index, independent t-test, and latent growth curve modeling (LGCM). Findings Overall, DEA results indicate that both Bangladeshi and Indonesian MFIs are approximately efficient under constant returns to scale, variable returns to scale, and scale. There has been an improvement in the management practices of Bangladeshi MFIs, while Indonesian MFIs have increased in optimum size. Independent t-test result shows that Bangladeshi MFIs are significantly efficient in terms of performance and firm’s size compared to Indonesian MFIs, but there is no significant difference in their efficiencies with regard to technology. The intercept and the slope of the regression weight in the estimated model using LGCM are not significantly different. Research limitations/implications This study measures technical efficiency and growth trajectory of Bangladeshi and Indonesian MFIs over a five-year period. However, future studies could explore this in greater depth by incorporating more data. Practical implications The research findings have great implications for the Bangladeshi and Indonesian MFIs. Since this study is among the first of its kind, the researchers have paved ways for further investigation in this area. Moreover, the study encourages the Bangladeshi and Indonesian MFIs to be more concerned of their efficiencies. Originality/value This study measures technical efficiency and growth trajectory of the Bangladeshi and Indonesian (MFIs). These have never been examined together in this way before.

Capital Structure of Southeast Asian Firms

The relationship between capital structure and firm value has been widely studied and analysed theoretically and empirically by researchers past and present. This is because a firm’s financing behaviour will consequently affect the value of the firm. In tackling the issue of capital structure, two main questions have to be addressed: how firms choose their capital structure to finance their operation, and how the choice of capital structure financing affects the value of the firm.