Capital structure mean reversion: a comparison between Chinese state-owned and private firms
Tanveer Ahsan and
Abdur Rub
Global Business and Economics Review, 2017, vol. 19, issue 6, 687-695
Abstract:
The study follows mean reversion approach and applies different panel unit root tests on a balanced data-set of 8,670 firm-year observations of Chinese non-financial firms, spread over ten years (2003-2012). The objective of the study is to investigate whether the leverage behaviour of Chinese non-financial firms is mean reverting and consequently, to decide between two competing theoretic frameworks (trade-off theory, pecking order theory). Overall panel test results for short term, long term and total leverage support trade-off financing behaviour. Further, the study categorises firms into state-owned and private firms and compares the leverage behaviour of two categories. The results of comparative analysis explain that leverage behaviour of both types of the firms (state-owned firms, private firms) is mean reverting and therefore supports trade-off theory of capital structure. Our study indicates that both types of the Chinese firms (state-owned firms, private firms) follow long-term financing strategy that is very important for the firms operating in an emerging economy.
Keywords: trade-off theory; TOT; pecking order theory; POT; mean reversion; China; unit root test; panel data; capital structure. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=87282 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:gbusec:v:19:y:2017:i:6:p:687-695
Access Statistics for this article
More articles in Global Business and Economics Review from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().