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The Determinants of Capital Structure: Evidence from companies listed on the WIG20 index of the Warsaw Stock of Exchange
1
WSGE
Submission date: 2017-07-28
Final revision date: 2017-12-13
Acceptance date: 2017-12-15
Publication date: 2018-01-27
JoMS 2017;35(4):161-176
KEYWORDS
TOPICS
ABSTRACT
Objectives:
The aim of the article is to help financial analysts and managers to determine appropriate choices regarding capital structure matters which are relevant for the development of their considered companies.
Material and methods:
In this article, the panel data analysis was used, in order to investigate the relationship between the choice of the structure of the capital and elements related to financial statements of selected polish companies of the WIG20 index.
Results:
Evidences from the article generally suggests the relevance of the pecking order hypothesis in explaining the financing choices of Polish firms. Companies have some preferences regarding their financing.
Conclusions:
The article also emphasized that capital structure choice may be the result of a complex interaction of many institutional features and business practices that are not fully captured by differences in the legal systems, which is especially important such as Poland where the legal system is quickly changing due to new politicians at the head of the state. All industry variable coefficients are statistically important and do confirm differences in capital structure among industries. This a topic which can be covered within a future article.
The aim of the article is to help financial analysts and managers to determine appropriate choices regarding capital structure matters which are relevant for the development of their considered companies.
Material and methods:
In this article, the panel data analysis was used, in order to investigate the relationship between the choice of the structure of the capital and elements related to financial statements of selected polish companies of the WIG20 index.
Results:
Evidences from the article generally suggests the relevance of the pecking order hypothesis in explaining the financing choices of Polish firms. Companies have some preferences regarding their financing.
Conclusions:
The article also emphasized that capital structure choice may be the result of a complex interaction of many institutional features and business practices that are not fully captured by differences in the legal systems, which is especially important such as Poland where the legal system is quickly changing due to new politicians at the head of the state. All industry variable coefficients are statistically important and do confirm differences in capital structure among industries. This a topic which can be covered within a future article.
REFERENCES (20)
1.
De Angelo, H., & Masulis, R. W. (1980). Optimal capital structure under corporate and personal taxation. Journal of financial economics, 8(1), 3-29.
2.
Baxter, N. D. (1967). Leverage, risk of ruin and the cost of capital. the Journal of Finance, 22(3), 395-403.
3.
Białek-Jaworska, A., & Nehrebecka, N. (2015). Determinants of Polish Companies’. Debt Financing Preferences. Social Sciences, 87(1), 19-32.
4.
Bradley, M. – Jarrel G. – Kim, E. H. (1984). On the Existence of an Optimal Capital Structure: Theory and Evidence. Journal of Finance 39(3), 857–880.
5.
Demirguc-Kunt, A. and Maksimovic, V. (1999). “Institutions, financial markets and firm debt maturity”, Journal of Financial Economics, Vol. 54, pp. 295-336.
6.
Dimitrios, V. – Nikolaos, E. – Nikolaos, D. (2009). Testing the Pecking Order Theory: The Importance of Methodology. Qualitative Research in Financial Markets 1(2): 85–96.
7.
Gruber, M. J., & Warner, J. B. (1977). Bankruptcy costs: Some evidence. The journal of Finance, 32(2), 337-347.
8.
Huang, G., Song, F. M. (2006). The Determinants of Capital Structure: Evidence from China. China Economic Review 17(1): 14–36.
9.
Jean, J. (2004). Determinants of Capital Structure of Chinese-Listed Companies. Journal of Business Research 57(12): 1341–1351.
10.
Johnson, S. (1998). The Effect of Bank Debt on Optimal Capital Structure. Financial Management 27(1): 47–56.
11.
Marsh, P. (1982). The Choice between Equity and Debt: An Empirical Study. The Journal of Finance 37(1): 121–144.
12.
Modigliani, F., Miller, M. (1958). The Cost of Capital, Corporation Finance and the Theory of Investment. American Economic Review 48(3): 261–275.
13.
Myers, S. C. (1977). Determinants of Corporate Borrowing. Journal of Financial Economics 5(2): 147–175.
14.
Myers, S. C. (1984). The Capital Structure Puzzle. Journal of Finance 39(3): 574–592.
15.
Nha, B. D., Bich Loan, N. T., & Nhung, N. T. T. (2016). Determinants of capital structure choice: Empirical evidence from Vietnamese listed companies. Society and Economy in Central and Eastern Europe, 38(1), 29-45.
16.
Porta, R. L., Lopez-de-Silanes, F., Shleifer, A., & Vishny, R. W. (1998). Law and finance. Journal of political economy, 106(6), 1113-1155.
17.
Pike, R. & Neale, B. (2009). Corporate Finance and Investments – Decisions and Strategies. 6th Edition. Prentice Hall. Harlow.
18.
Ross, S. (1977) The determination of financial structure: the incentive-signalling approach. The bell journal of economics, 1977, 23-40.
19.
Sheikh, N., & Wang, Z. (2011). Determinants of capital structure: An empirical study of firms in manufacturing industry of Pakistan. Managerial Finance, 37(2), 117-133.
20.
Vernimmen P., Quiry P., Dallocchio M., Le Fur Y., Salvi A. (2014). Corporate Finance: Theory and Practice, John Wiley & Sons, Wiley.
| eISSN: | 2391-789X |
| ISSN: | 1734-2031 |
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