The Determination of the Dominant Pattern of the Capital Structure in Automotive and Parts Industry
Capital structure as the most important and effective parameter on the orientation and valuation of the firm in the capital markets has been considered. Given the lack of comprehensive research and case study in this field, the aim of this research is the determination of the dominant pattern of the capital structure in automotive and parts industry. The research period was 2006-2016 and in the mentioned industry, 26 companies were selected as statistical sample. The pooled/paned regression models were applied to analyze of research data in econometric software EViews 9. In the study, three criteria such as book leverage (LEV1), market leverage (LEV2), and long-term leverage (LEV3) were applied to determine of capital structure. Also, variables such as DPS to EPS (DPO), return on equity (ROE), business risk (BR), asset structure (TANG), liquidity (LIQ), market to book value (MB), company size (SIZE), non debt tax saving (NDTS), tangible assets to debt ratio (TADR), debt tax shelter (DTS), and interest coverage (IC) were exerted to measure of effective factors on capital structure based on different theories. Findings indicate that in the automotive and parts industry, pecking order, extreme management optimism, and market timing theories have been the dominant patterns in Iran's capital.
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