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Analyzing the Impact of Leverage and Adjustment Costs on Various Measures of Corporate Performance: Insights from Listed Firms of Pakistan

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  • Shah, Khalid
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    This paper is a first attempt to look into the issue of the effect of leverage and adjustment costs on various measures of corporate performance for 374 non-financial firms listed on Karachi Stock Exchange of Pakistan. The Arellano and Bond dynamic panel data estimation technique (a variant of GMM) is used to capture the role of adjustment costs and the dynamic behavior of corporate performance. A panel data set spanning 1988 to 2008 is used for the purpose. The results, thus obtained, are essentially mixed. The coefficients of the adjustment variable (lagged corporate performance) are positive for ROCE (Return on capital employed) and EPS (Earnings per Share) but ironically negative for ROE (Return on Equity). Similarly the effect of leverage on ROCE is negative but insignificant and positive significant when EPS is used as a measure of corporate performance. Whereas the relationship between leverage and ROE (another measure used in the paper for corporate performance) is negative and significant which implies that high leverage force the managers to perform optimally due to higher interest burden and agency cost. The positive effect of the size of firm on performance is confirmed for all the three measures of corporate performance. Furthermore, the positive and statistically significant impact of short term liabilities implies that high short term liabilities exert pressure on corporate managers to perform efficiently in the competitive market.

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    Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 24611.

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    Date of creation: 16 Aug 2010
    Handle: RePEc:pra:mprapa:24611
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    1. Laurent Weill, 2008. "Leverage and Corporate Performance: Does Institutional Environment Matter?," Small Business Economics, Springer, vol. 30(3), pages 251-265, March.
    2. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
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