Trade-off in Capital Structure Decision in Emerging economies
DOI:
https://doi.org/10.61841/zkjb8g62Keywords:
Capital Structure, Dynamic Panel Data, system Generalized Method of Moments (Sys- GMM), Trade-Off Theory, Real Estate CompanyAbstract
Accompanied by the rise of Real Estate transactions is the establishment, development, and competition among real estate businesses. The study aims to test the existence of trade-off theory in capital structure among real estate companies in the emerging economies stock market, case of Vietnam. Instead of considering constant optimal leverage to test the trade-off model, we take advantage of the dynamic capital structure determined by growth opportunities, profitability, tax incentives, tangibility, liquidity, and firm size. This approach requires a dynamic panel data regression, which is estimated by system Generalized Method of Moment (Sys- GMM). Our empirical evidence shows that real estate companies listed in the Vietnamese stock market may change their leverage toward a target capital structure, which is determined by influential factors in a long-term perspective. In particular, the debt-to-asset ratio will change by approximately 14 percent, positively, in response to the difference between the current debt-to-asset ratio and the dynamic target debt-to-asset ratio.
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[1] M. T. Nguyen and B. T. Khoa, “Improving the Competitiveness of Exporting Enterprises: A Case of Kien Giang Province in Vietnam,” The Journal of Asian Finance, Economics and Business, vol. 7, no. 6, pp. 495–508, 2020, doi: 10.13106/jafeb.2020.vol7.no6.495.
[2] CEIC Data, “Vietnam Real GDP Growth,” July 13, 2019. Available: https://www.ceicdata.com/en/indicator/vietnam/real-gdp-growth
[3] H. M. Nguyen and B. T. Khoa, “The Relationship between the Perceived Mental Benefits, Online Trust, and Personal Information Disclosure in Online Shopping,” The Journal of Asian Finance, Economics and Business, vol. 6, no. 4, pp. 261–270, 2019, doi: 10.13106/jafeb.2019.vol6.no4.261.
[4] H. M. Nguyen and B. T. Khoa, “Perceived Mental Benefit in Electronic Commerce: Development and Validation,” Sustainability, vol. 11, no. 23, pp. 6587–6608, 2019, doi: 10.3390/su11236587.
[5] B. T. Khoa and T. Khanh, “The Impact of Electronic Word-of-Mouth on Admission Intention to Private University,” Test Engineering and Management, vol. 83, pp. 14956–14970, 2020.
[6] B. T. Khoa, H. M. Nguyen, N. V. H. Tran, and B. H. Nguyen, “Lecturers’ adoption to use the online Learning Management System (LMS): Empirical evidence from TAM2 model for Vietnam,” Journal of Science HCMCOU – Economics & Business Administration, vol. 10, no. 1, pp. 3–17, 2020, doi: 10.46223/HCMCOUJS.econ.en.10.1.216.2020.
[7] Savills, Vietnam Residential: Where to from here?, London, 2018. Available: http://pdf.savills.asia/asia-pacific-research/vietnam-research/spotlight/vietnam-residential-20181127en.pdf
[8] A. Riahi-Belkaoui, Capital Structure: Determination, Evaluation, and Accounting. Westport, CT: Quorum Books, 1999.
[9] F. Modigliani and M. H. Miller, “The cost of capital, corporation finance and the theory of investment,” The American Economic Review, vol. 48, no. 3, pp. 261–297, 1958.
[10] V. S. Krishnan and R. C. Moyer, “Performance, capital structure and home country: An analysis of Asian corporations,” Global Finance Journal, vol. 8, no. 1, pp. 129–143, 1997.
[11] G. G. Tian and R. Zeitun, “Capital Structure and Corporate Performance: Evidence from Jordan,” Australasian Accounting, Business and Finance Journal, vol. 1, no. 4, pp. 40–61, 2007.
[12] M. Z. Frank and V. K. Goyal, “Trade-off and pecking order theories of debt,” in Handbook of Empirical Corporate Finance, Elsevier, 2008, pp. 135–202.
[13] M. H. Miller, “The Modigliani–Miller propositions after thirty years,” Journal of Economic Perspectives, vol. 2, no. 4, pp. 99–120, 1988.
[14] S. C. Myers, “The capital structure puzzle,” The Journal of Finance, vol. 39, no. 3, pp. 574–592, 1984.
[15] E. Schwartz and J. R. Aronson, “Some surrogate evidence in support of the concept of optimal financial structure,” The Journal of Finance, vol. 22, no. 1, pp. 10–18, 1967.
[16] M. S. Long and I. B. Malitz, “Investment patterns and financial leverage,” in Corporate Capital Structures in the United States. Chicago: University of Chicago Press, 1985, pp. 325–352.
[17] C. W. Smith Jr. and R. L. Watts, “The investment opportunity set and corporate financing, dividend, and compensation policies,” Journal of Financial Economics, vol. 32, no. 3, pp. 263–292, 1992.
[18] R. S. Chirinko and A. R. Singha, “Testing static trade-off against pecking order models of capital structure: A critical comment,” Journal of Financial Economics, vol. 58, no. 3, pp. 417–425, 2000.
[19] S. A. Johnson, “An empirical analysis of the determinants of corporate debt ownership structure,” Journal of Financial and Quantitative Analysis, vol. 32, no. 1, pp. 47–69, 1997.
[20] R. G. Rajan and L. Zingales, “What do we know about capital structure? Some evidence from international data,” The Journal of Finance, vol. 50, no. 5, pp. 1421–1460, 1995.
[21] S. C. Myers, “Determinants of corporate borrowing,” Journal of Financial Economics, vol. 5, no. 2, pp. 147–175, 1977.
[22] P. Bauer, “Determinants of capital structure: Empirical evidence from the Czech Republic,” Czech Journal of Economics and Finance, vol. 54, no. 1–2, pp. 2–21, 2004.
[23] S. Tomak, “The impact of overconfidence on capital structure in Turkey,” International Journal of Economics and Financial Issues, vol. 3, no. 2, pp. 512–518, 2013.
[24] S. N. A. Ab Wahab and N. A. Ramli, “The determinants of capital structure: An empirical investigation of Malaysian listed government-linked companies,” International Journal of Economics and Financial Issues, vol. 4, no. 4, pp. 930–945, 2014.
[25] J. B. Warner, “Bankruptcy costs: Some evidence,” The Journal of Finance, vol. 32, no. 2, pp. 337–347, 1977.
[26] P. Gaud, E. Jani, M. Hoesli, and A. Bender, “The capital structure of Swiss companies: An empirical analysis using dynamic panel data,” European Financial Management, vol. 11, no. 1, pp. 51–69, 2005.
[27] T. Ghazouani, “The capital structure through the trade-off theory: Evidence from Tunisian firms,” International Journal of Economics and Financial Issues, vol. 3, no. 3, pp. 625–636, 2013.
[28] S. Titman and R. Wessels, “The determinants of capital structure choice,” The Journal of Finance, vol. 43, no. 1, pp. 1–19, 1988.
[29] K. Paudyal, Y. Guney, and A. Antonious, “Determinants of corporate capital structure: Evidence from European countries,” Center for Empirical Research in Finance, 2002.
[30] S. K. Acaravci, “The determinants of capital structure: Evidence from the Turkish manufacturing sector,” International Journal of Economics and Financial Issues, vol. 5, no. 1, pp. 158–171, 2015.
[31] Ö. Öztekin, “Capital structure decisions around the world: Which factors are reliably important?” Journal of Financial and Quantitative Analysis, vol. 50, no. 3, pp. 301–323, 2015.
[32] H. DeAngelo and R. W. Masulis, “Optimal capital structure under corporate and personal taxation,” Journal of Financial Economics, vol. 8, no. 1, pp. 3–29, 1980.
[33] W. S. Kim and E. H. Sorensen, “Evidence on the impact of the agency costs of debt on corporate debt policy,” Journal of Financial and Quantitative Analysis, vol. 21, no. 2, pp. 131–144, 1986.
[34] M. Arellano and S. Bond, “Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations,” The Review of Economic Studies, vol. 58, no. 2, pp. 277–297, 1991.
[35] L. H. Châu, “Overview of the 10-year cycle of the Vietnam real estate market from an expert perspective,” July 12, 2017. Available: http://cafef.vn/toan-canh-chu-ky-10-nam-cua-thi-truong-bds-viet-nam-duoi-goc-nhin-chuyen-gia-20170907110546653.chn
[36] J. D. Sargan, “The estimation of economic relationships using instrumental variables,” Econometrica, vol. 26, no. 3, pp. 393–415, 1958.
[37] L. P. Hansen, “Large sample properties of generalized method of moments estimators,” Econometrica, vol. 50, pp. 1029–1054, 1982.
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