Pecking order and market timing theory in emerging markets: The case of Egyptian firms

Alessandra Allini, Soliman Rakha, David G. McMillan and Adele Caldarelli

Research in International Business and Finance, 2018, vol. 44, issue C, 297-308

Abstract: Using a unique dataset of 1270 Egyptian listed firm-year observations over 2003–2014, we investigate whether the basic premises according to the pecking order or market timing theories provide an explanation for the capital structure mix of Egyptian firms. Current work has provided mixed evidence in regard to these capital structure theories in the Egyptian context. Our results show that the most profitable firms are less likely to resort to external financing. However, in case where financial deficits exist then equity issued appears to track the deficit rather than debt. Moreover, issuances appear to track deficit periods instead of market timing attempts. Results obtained support notion that the typical Egyptian firm follows revised pecking order theory, with the importance of the four conventional determinants, profitability, tangibility, size effect and growth opportunity in debt holdings.

Keywords: Capital structure; Pecking order theory; Market timing theory; Egypt (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S027553191730017X
Full text for ScienceDirect subscribers only

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:eee:riibaf:v:44:y:2018:i:c:p:297-308

DOI: 10.1016/j.ribaf.2017.07.098

Access Statistics for this article

Research in International Business and Finance is currently edited by T. Lagoarde Segot

More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().