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Academic literature on the topic 'Determinants of the capital structure'

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Published: 7 July 2024
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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Determinants of the capital structure":

1

Lambrinoudakis, Costas. "Adjustment Cost Determinants and Target Capital Structure." Multinational Finance Journal 20, no. 1 (2016): 1–39. http://dx.doi.org/10.17578/20-1-1.

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Boateng, Agyenim. "Determinants of capital structure." International Journal of Social Economics 31, no. 1/2 (January 2004): 56–66. http://dx.doi.org/10.1108/03068290410515411.

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Shahar, Wan Shahdila Shah Bt, and Sarifah Ismail Manja. "Determinants of capital structure." Reports on Economics and Finance 4, no. 3 (2018): 139–49. http://dx.doi.org/10.12988/ref.2018.8113.

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Ahmed Sheikh, Nadeem, and Zongjun Wang. "Determinants of capital structure." Managerial Finance 37, no. 2 (January 18, 2011): 117–33. http://dx.doi.org/10.1108/03074351111103668.

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Thies, Clifford F., and Mark S. Klock. "DETERMINANTS OF CAPITAL STRUCTURE." Review of Financial Economics 1, no. 2 (March 1992): 40–52. http://dx.doi.org/10.1002/j.1873-5924.1992.tb00548.x.

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Dr .R.Kavitha, Dr R. Kavitha. "Determinants of Capital Structure: Emprical Evidence from India." Indian Journal of Applied Research 4, no. 7 (October 1, 2011): 305–9. http://dx.doi.org/10.15373/2249555x/july2014/97.

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K. Gharaibeh, Omar, and Saqer AL-Tahat. "Determinants of capital structure: evidence from Jordanian service companies." Investment Management and Financial Innovations 17, no. 2 (July 3, 2020): 364–76. http://dx.doi.org/10.21511/imfi.17(2).2020.28.

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This paper examines capital structure determinants for service companies in Jordan between 2014 and 2018. Secondary data from 45 companies were analyzed using the panel regression approach. The results show that the independent variables, suggested as capital structure determinants, have an effect on the debt ratio made by the service companies. Size and non-debt tax shield have a positive significant effect on the debt ratio, while profitability and business risk have a negative significant impact on the debt ratio. In general, the findings support the notion that the trade-off, bankruptcy cost, agency cost and pecking order theories are crucial in explaining the capital structure of Jordanian service companies except for non-debt tax shields and tangibility factors. Jordanian service companies do not use fixed assets as collateral or companies with higher collateral value tend to borrow less debt. Although the coefficient of institutional investors is statistically insignificant, it is still negative and economically significant. This paper concludes that size, profitability, business risk, non-debt tax shields and institutional ownership factors are fundamental in terms of shaping the capital structure in Jordanian service companies.
8

Li, Xuefeng. "The Determinants of Capital Structure." Journal of Computational and Theoretical Nanoscience 12, no. 7 (July 1, 2015): 1266–71. http://dx.doi.org/10.1166/jctn.2015.3884.

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Ukaegbu, Ben, and Isaiah Oino. "The determinants of capital structure." African Journal of Economic and Management Studies 5, no. 3 (August 26, 2014): 341–68. http://dx.doi.org/10.1108/ajems-11-2012-0072.

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Purpose – The purpose of this paper is to investigate whether there are differences between the determinants of the capital structure in financial and manufacturing firms and also assess how the speed of adjustment differs. Design/methodology/approach – This study employed balanced panels data procedure using pooled ordinary least square, the random effects and fixed effects on manufacturing firms and banks that are listed on Nigeria Stock Exchange. The use of the three estimation method is in order to make a meaningful comparison between the models. Findings – The findings indicate that there are similarities and differences in the capital structure determinants on the two sets of firms: banks tend to be more leveraged when they are more profitable and manufacturing firms tend to be less leveraged when they are profitable. In addition, banks adjust their leverage faster at a speed of 69 per cent than manufacturing firms at 46 per cent. The study also shows that changes in the economy influence the capital structure of financial firms more than that of manufacturing firms. Research limitations/implications – The study only focused on one economy. Practical implications – As a result of 2008 global financial crisis, there has been intense debate on the significance of regulatory capital. The study demonstrate the need for regulatory capital in banks to be procyclical rather than being static. Originality/value – To the best of the knowledge, this is the first paper to empirically test how capital structure differ between banks and non-financial institutions.
10

Kayo, Eduardo K., and Herbert Kimura. "Hierarchical determinants of capital structure." Journal of Banking & Finance 35, no. 2 (February 2011): 358–71. http://dx.doi.org/10.1016/j.jbankfin.2010.08.015.

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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Determinants of the capital structure":

1

Křivská, Romana. "Determinants of capital structure and its optimization." Doctoral thesis, Vysoká škola ekonomická v Praze, 2004. http://www.nusl.cz/ntk/nusl-76770.

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The finding of optimal debt-to-equity structure, taking into account the determinants which influence Capital Structure, is an ongoing problem in Corporate Finance. It is confirmed in theory as well as in practice in the world of Corporate Finance. There are several theoretical approaches to optimal Capital Structure, nevertheless, in practice none of these theories can be fully confirmed. The aim of the dissertation is the analysis of determinants of Capital Structure and the assessment of the application of current optimal Capital Structure theories. The significance of the individual determinants of Capital Structure is evaluated and the relationship between Leverage and certain determinants is analyzed, based on regression and correlation analysis. These tasks are based on an international point of view followed by the empirical application to mining companies in the Czech Republic and Europe. The dissertation is divided into 3 main parts which include a theoretical part, an analysis of current findings and, finally, an empirical analysis. In the theoretical part, the basic terms used in the topic of Capital Structure are defined by their different meanings in theory. These are Capital, Capital Structure and Leverage. The determinants of Capital Structure were specified with respect to the optimal Capital Structure theories, and the determination of optimal debt ratio is discussed. The analysis of current findings is focused on the empirical verification of optimal Capital Structure theories, on international examples, and on the example of the Czech Republic. Attention is dedicated to understanding the significance of determinants of Capital Structure and the determination of the relationship between Leverage and determinants of Capital Structure. A comparison of the theoretical and empirical findings is made between a group of American and European companies, and between three groups of countries (developed countries, developing countries and transition countries, including the Czech Republic). The empirical part is dedicated to the analysis of determinants of Capital Structure of mining companies in the Czech Republic and Europe. The analyzed determinants are size, profitability, tangibility of assets, and a non-debt tax shield.
2

Lima, Elaine Janine Martins de. "Determinants of start-ups capital structure." Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/7377.

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Mestrado em FInanças
O objetivo deste trabalho é analisar os determinantes mais relevantes da estrutura de capital inicial de novas empresas, através do desenvolvimento de um estudo empírico. A estrutura de capital tem sido a ser um dos temas mais controversos na literatura financeira. Embora haja uma grande quantidade de estudos empíricos e teóricos sobre este tema, não há ainda acordo na escolha da estrutura ótima de capital. Grande parte dos estudos concentra-se em empresas estabelecidas, negligenciando o tema das novas empresas. Recentemente, final dos anos 90, estudos sobre a estrutura de capital começaram a abordar o tema start-ups e pequenas empresas. Neste sentido, combinando dados financeiros de empresas e dados do fundador, que contêm informações detalhadas sobre as start-ups Portuguesas ao longo do período 2004 a 2009, a influência de fatores como o tamanho, a estrutura de ativos, o crescimento e as características dos fundadores na estrutura de capital inicial de start-ups foram analisadas. Os resultados confirman a hipótese de que o tamanho e a estrutura de ativos têm um impacto positivo sobre a estrutura de capital das start-ups, enquanto que o crescimento tem uma relação negativa. Esses resultados são consistentes com a teoria do pecking order que refere os problemas de assimetria de informação e a teoria do trade-off que refere os problemas de agência. O nível de significância e o impacto das características dos fundadores, nomeadamente a experiência no setor, regional e empresarial, educação, idade e género na estrutura de capital inicial das start-ups varia muito, não fornecendo resultados consistentes.
The objective of this paper is to analyze the most relevant determinants of new ventures initial capital structure, by developing an empirical study. Capital Structure has been one of the most controversial issues in financial literature during the past years. Although exists an enormous amount of empirical and theoretical studies on this topic, there is no agreement in choosing the optimal capital structure. Much of the existing research focuses on established firms, neglecting the field of entrepreneurial finance. Only recently, in the late 90s, the studies on capital structure were extended to start-ups and small firms. Concerning this, by combining Portuguese firm-level financial data with the matched employer-employee database, that contains unique and detailed information about the start-ups during the period 2004 to 2009, the influence of factors such as size, asset structure, growth orientation and owners' characteristics on start-ups initial capital structure were examined. The results support the hypotheses that size and asset structure have a positive impact on start-ups initial capital structure, while growth have a negative relation. These results are also consistent with the pecking order theory that incorporates information asymmetries issues and the trade-off theory with the agency problems. The level of significance and impact of owners' characteristics such as industry experience, regional experience, entrepreneurial experience, education, age and gender on start-ups initial capital structure varies widely, not providing consistent results.
3

Buferna, Fakher Muftah. "Determinants of capital structure : evidence from Libya." Thesis, University of Liverpool, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420451.

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Akbarali, Ahmed, and Awambeng Foma. "Determinants of Capital Structure in Family Firms." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28285.

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Most firms are using optimal combination of equity and debt so as to maximize firms value and the wealth of the shareholders. To achieve all these, firms should be aware of the factors that influence the capital structure decisions. Previous empirical studies attempted to explain what determines the choice of capital structure in firms. The focus was on firms in general without categorizing family firms and non-family firms. The primary objective of this study is to examine what determines the capital structure of family firms in OECD countries. Amadeus database was used to obtain the data needed for the statistical analysis. Measures for firm-specific characteristics were calculated based on the previous stud-ies. The study was conducted over a period of 9 years from 2005-2013. Dataset com-prised of 95 family firms resulting in 850 observations. The results from the study indicate that the capital structure for family firms in OECD countries is influenced by profitability, asset tangibility, growth, size, debt tax shield , non-debt tax shield and liquidity. Both pecking-order theory and trade-off theory explain the capital structure of family firms.
5

Hipólito, Marta das Neves Ramos. "The determinants of corporate capital structure : evidence from Portuguese companies, 1984-1988." Master's thesis, Instituto Superior de Economia e Gestão, 2015. http://hdl.handle.net/10400.5/10790.

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Mestrado em Finanças
O propósito desta tese é analisar a estrutura de capital de empresas portuguesas cotadas em bolsa, focando na relação entre o nível de endividamento e os factores determinantes considerados mais relevantes na literatura financeira. A amostra utilizada neste estudo empírico é composta por 87 empresas cotadas, tendo sido recolhida informação contabilística referente ao período de 1984 a 1988. Com base numa análise de dados em painel, os resultados obtidos sugerem que a dimensão e a estrutura do activo são factores determinantes do endividamento. Os resultados contribuem para complementar a informação disponibilizada em estudos existentes, e para providenciar um conhecimento mais profundo acerca das decisões que as empresas tomam para a sua estrutura de capitais.
This dissertation aims to analyze the capital structure of Portuguese listed companies on the stock market, focusing on the relationship between the level of debt and its most relevant determinant factors considered in financial literature. The sample used in this empirical study consists of 87 listed companies and accounting information has been collected for the period 1984-1988. Using a panel data approach, we found that size and asset tangibility are determinant factors of the debt level. The results contribute to fill a gap on Portuguese history, helping to complement existing studies and to provide a deeper understanding of the companies? decisions about their capital structure.
6

Gonçalves, Maria Raquel Martins. "Determinants of capital structure : large Portuguese companies, 1984-1988." Master's thesis, Instituto Superior de Economia e Gestão, 2015. http://hdl.handle.net/10400.5/9104.

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Mestrado em Finanças
Esta dissertação pretende verificar quais as variáveis que influenciam nas decisões relacionadas com a estrutura de capital. O objectivo deste trabalho é estudar um período de 5 anos em Portugal – 1984 a 1988, para 50 grandes empresas portuguesas. As variáveis selecionadas são baseadas em estudos anteriores neste tema: tamanho, rendibilidade, nível de crescimento, estrutura do activo, vantagens fiscais e risco de negócio. Os resultados empíricos mostraram uma significância estatística positiva entre a estrutura do activo e o nível de endividamento. Por outro lado, a dimensão mostrou uma significância estatisticamente negativa com o nível de endividamento. Em relação às outras variáveis selecionadas, os resultados não indicaram nenhuma influência com as decisões na estrutura de capital.
This dissertation aims to verify what variables influence the decisions in the capital structure. The objective is to study a gap in a 5-year period in Portugal – 1984 to 1988. This study uses the financial reports of 50 large Portuguese manufacturing firms during this period. The variables were selected based on previous research in this area: size, profitability, level of growth, asset structure, fiscal advantages and business risk. The empirical results showed a statistically positive significant relationship between the asset structure and leverage. On the other hand, size had a statistically negative significant relationship with leverage. All the other variables showed insignificant relationship in the debt level in a firm.
7

Shen, Gensheng University of Ballarat. "The determinants of capital structure in Chinese listed companies." University of Ballarat, 2008. http://archimedes.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/12728.

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Traditional financial theories see capital structure as a result of mainly financial, tax and growth factors (Modigliani & Miller, 1958). But corporate governance theories (Jensen & Meckling, 1976) and business strategy theories (Barton & Gordon, 1988) suggest that ownership structure and ownership concentration, product diversification and asset specificity may also influence capital structure. Focusing on the examination of the determinants of capital structure in Chinese listed companies, this research goes beyond financial factors and considered business strategy and corporate governance approaches, and their impact on capital structure, in a transitioning Chinese context where institutions, expertise and regulatory processes are different to, but converging on, Western approaches. A panel data set of 1,098 Chinese listed companies for the period of 1991 to 2000 was collected from published sources, and conventional and innovative econometric methodologies were used to model a range of relationships between capital structure and its financial and non-financial determinants. The statistical approaches used in this study included Ordinary Least Squares Model and also Linear Mixed Model, which is a powerful tool to examine panel data where independence of explanatory variables is not assumed. The analysis also involved Hox’s model building procedures to measure model fit. The capital structure of listed companies in both the Shenzhen Stock Exchange and the Shanghai Securities Exchange is positively related to a firm’s tax rate, growth and capital intensity and negatively related to a firm’s profit and size. Other financial factors such as tangibility, risk and duration are non-significant. The capital structure of listed companies, particularly in the Shenzhen Stock Exchange, is positively related to product diversification and negatively related to asset specificity. The capital structure of listed companies in the Shanghai Securities Exchange is positively related to government ownership and ownership concentration of the largest shareholder and negatively related to legal person ownership and ownership concentration of the ten largest shareholders. The data and modelling support financial and non-financial determinants of capital structure. In particular, information asymmetry, business diversity and asset specificity have a significant impact on capital structure. In addition the empirical work in the study supports agency cost explanations of debt and equity. Finally the research demonstrates that the two main financial markets in China, Shenzhen and Shanghai, have operated differently but are converging towards a common norm. The research contributes to the general field of capital structure and provides valuable insights into the nature of the Chinese firm and the evolution of the Chinese financial system.
Doctor of Philosophy
8

Gennari, Alessio Nulli. "The determinants of SMEs capital structure: Overcoming supply constraints." Master's thesis, NSBE - UNL, 2012. http://hdl.handle.net/10362/9570.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
This paper studies the most relevant literature on firms’ capital structure, in general, and Small and Medium Enterprises, in particular. Evidencing that SMEs’ financing needs to evolve with their age, literature notes that failures in this market stem generally from a shortage in capital supply and from the extreme degree of opacity which characterizes young and small corporations. The forthcoming Basel III regulations will strengthen the future banking environment but probably affect even more financing to small businesses. Given that the imperfections of this market are not only present in periods of economic turmoils but also on a structural basis, finding ways to enhance SMEs’ transparency, and designing instrument to reduce dependence from bank credit, should be a priority for future actions undertaken by practitioners and regulators. Following the effective examples of the Indian SMEs Rating Agency, of the Korean corporate bonds market and of the growing phenomenon of crowdfunding, this work analyzes their pros and cons as well as their potential to become worldwide industry standards.
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Canda, Francis Edward. "The influence of specified determinants of corporate capital structure." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1271777764.

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Albarrak, Mansour Saleh. "Determinants of capital structure : the case of MENA countries." Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/3764.

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This thesis examines the determinants of capital structure in the MENA coun- tries. The main interest is to investigate both financial firms specially banks and non-financial firms. This study test the main theories of capital structure, namely: trade off theory and pecking order theory. The countries included in this thesis are Saudi Arabia, United Arab Emirates (Include both Abo-Dhabi and Dubai stock indexes), Bahrain, Qatar, Kuwait, Oman, Egypt, Morocco, Tunisia, Palestine and Jor- dan. The characteristics it covers as suggested by previous literature are tangibility, profitability, risk, debt tax shield, growth, dividends,size, cash flow and liquidity. It will also investigate the effect of the industry, credit rating and ownership structure on the capital structure This study also investigates the determinants of capital structure in Islamic and conventional banks. This is one of the first attempts to empirically examine the determinants of capital structure in Islamic and conventional banks in general and in MENA countries in particular. This study fills the gap in this important area of research and can provide a base for future research on capital structure in Islamic banks. This thesis use different models to test the capital structure and these are Panel data models (OLS, Fixed, and Random); Tobit and Dynamical model (Arellano-Bover Blundell-Bond), Structural Equation Modeling (SEM) and Generalised Regression Neural Networks (GRNN). The results suggest that the three methods used in this study lead to similar re- sults with a few exceptions in some countries. This thesis finds that the relation between leverage and the determinants of capital structure is different when using the market or the book leverage. It also finds that the determinants of capital struc- ture between the MENA countries are different. For example, profitability attribute relation with leverage follow the trade-off theory in some countries and follow the picking order theory in other countries. Also, liquidity is significant in all the countries in the sample and have a negative relation to leverage. In addition, tangibility is found to have a mixed results with some countries following the trade-off theory and other countries which follow the trade-off theory but overall it is a key determinant of capital structure. Additionally, the findings show that although that the majority of firms in the MENA countries don’t pay dividends the relation between the long term debt and leverage is negative in all the countries in the sample. The growth opportunities have a negative relation in Bahrain, Egypt, Jordan, Kuwait, Morocco, Palestine, Qatar and Tunisia but positive in rest of the countries. The cash flow attribute have a negative relation with leverage in all the countries in the sample except Saudi Arabia and Qatar when using the short and long term debt. Furthermore, the ownership variable is expected to have a negative relation when the ultimate owner is an institution. The results show that overall when there is an ultimate owner the leverage will have a negative relation. Suggesting that ultimate owners will force managers to keep a low debt in firms capital structure. This PhD also attempt to investigate the capital structure in banks within the MENA countries. A special focus is on the differences between the Islamic banks and conventional banks capital structure. First, the findings show that the banks follow the same determinants of capital structure as non-financial firms and that regulations are not the main determinant of capital structure in banks. Then, This study show that there is a difference in capital structure of Islamic banks in com- parison with conventional banks. The findings for the dividends variable show that Islamic banks do not follow the pecking order theory but conventional banks don’t. The results of the size variable show that when Islamic banks are large they use less debt in their capital structure. Growth variable show mixed results depending on the use of book or market leverage. Ownership structure show that when there is an ultimate owner leverage increase which is the reverse of the relation in the non-financial firms. The age variable is negative in relation to the book leverage and positive with the market leverage. Also, credit rating relation is different between the two banks, as it is positive with the conventional banks and negative with Islamic banks. Therefore, this study conclude that the main capital structure theories are applicable to MENA countries. Also indicate that Islamic banks have a different capital structure to conventional banks.
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Books on the topic "Determinants of the capital structure":

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O'Toole, Ivor Jay. Industry effects and the determinants of capital structure. Dublin: University College Dublin, 1995.

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Abor, Joshua. Determinants of the capital structure of Ghanaian firms. Nairobi: African Economic Research Consortium, 2008.

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Welch, Ivo. Columbus' egg: The real determinants of capital structure. Cambridge, MA: National Bureau of Economic Research, 2002.

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McCollum, William. The Determinants of capital structure: Some UK evidence. (s.l: The Author), 2003.

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Abor, Joshua. Determinants of the capital structure of Ghanaian firms. Nairobi: African Economic Research Consortium, 2008.

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Bunn, Philip. Corporate capital structure in the United Kingdom: Determinants and adjustment. London: Bank of England, 2004.

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Michaelas, Nicos. Determinants of capital structure in small privately held firms. Leeds: Institute for Small Business Affairs, 1996.

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Michaelas, N. Quantitative evidence on the determinants of capital structure in SMEs. Manchester: MBS, 1997.

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Gompers, Paul A. The determinants of corporate venture capital success: Organizational structure, incentives, and complementarities. Cambridge, MA: National Bureau of Economic Research, 1998.

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Fund, International Monetary, ed. Economic effects and structural determinants of capital controls. Washington, D.C: International Monetary Fund, 1995.

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Book chapters on the topic "Determinants of the capital structure":

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Koralun-Bereźnicka, Julia. "Determinants of Capital Structure Across European Countries." In Contemporary Trends and Challenges in Finance, 199–209. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76228-9_19.

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Altaf, Nufazil, and Farooq Ahmad Shah. "Response of Capital Structure Determinants in Different Macroeconomic States." In Capital Structure Dynamics in Indian MSMEs, 35–59. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4276-7_3.

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Takele, Yitbarek, and Daniel Beshir. "Firm-Specific Determinants of Insurance Companies’ Capital Structure in Ethiopia." In Frontiers in African Business Research, 155–75. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4451-9_8.

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Kaakeh, Mohamad, and Korhan K. Gokmenoglu. "Determinants of Capital Structure: The Case of Chinese Technology Firms." In Regulation of Finance and Accounting, 129–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99873-8_10.

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Balla, Andrea, and Iván Bélyácz. "The Determinants of Capital Structure of Hungarian Firms in Transition." In Corporate Restructuring and Governance in Transition Economies, 156–77. London: Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230801516_8.

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Nainggolan, Bonifasius M. H., Surachman Surachman, Siti Aisjah, and Sumiati Sumiati. "Managerial ownership and company characteristics as determinants of capital structure." In Proceedings of the International Conference on Applied Science and Technology on Social Science 2023 (iCAST-SS 2023), 307–13. Paris: Atlantis Press SARL, 2023. http://dx.doi.org/10.2991/978-2-38476-202-6_42.

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Czerwonka, Leszek, and Jacek Jaworski. "Determinants of Enterprises’ Capital Structure in Poland: Evidence from Warsaw Stock Exchange." In Eurasian Studies in Business and Economics, 249–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11833-4_16.

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Dalci, İlhan, Hasan Ozyapici, and Doğan Unlucan. "The Firm-Specific Determinants of Capital Structure in Beverage Industry in Europe." In Global Issues in Banking and Finance, 161–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30387-7_11.

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Likhacheva, O. N., L. A. Setchenkova, and A. S. Belikevich. "Impact of Internal and External Determinants on Capital Structure in Russian Companies." In Lecture Notes in Networks and Systems, 637–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60929-0_81.

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Mardani, Ronny Malavia, Moeljadi Moeljadi, Sumiati Sumiati, and Nur Khusniyah Indrawati. "The Determinants Of Capital Structure: Trade-Off Theory Vs Pecking Order Theory." In Proceedings of the 2nd International Conference on Multidisciplinary Sciences for Humanity in Society 5.0 Era (ICOMSH 2022), 140–65. Paris: Atlantis Press SARL, 2023. http://dx.doi.org/10.2991/978-2-38476-204-0_13.

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Conference papers on the topic "Determinants of the capital structure":

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Sudiyatno, Bambang, Sigit Nugroho, Yeye Susilawati, and Ida Nurhayati. "Determinants of Capital Structure." In Proceedings of the International Conference on Banking, Accounting, Management, and Economics (ICOBAME 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icobame-18.2019.13.

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Mangku, I. Ketut, Fikri Budi Aulia, Yayuk Apriani, and Arisudana Yoga Pramana. "Determinants of Company Capital Structure." In The 3rd International Conference on Banking, Accounting, Management and Economics (ICOBAME 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.210311.038.

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Briones, Oscar, and Melisa Chang. "CAPITAL STRUCTURE DETERMINANTS INFLUENCE: A COMPARATIVE STUDY." In 30th International Academic Conference, Venice. International Institute of Social and Economic Sciences, 2017. http://dx.doi.org/10.20472/iac.2017.030.007.

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Md-Yusuf, Mazila. "Capital Structure Determinants of SME Shariah Compliant Companies." In International Conference on Business and Management Research (ICBMR-17). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/icbmr-17.2017.16.

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Kirshin, Igor. "CAPITAL STRUCTURE DETERMINANTS: AN EMPIRICAL RESEARCH OF RUSSIAN FIRMS." In 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/hb11/s03.072.

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Nandani, Risma, Agus Satrya Wibowo, and Muhammad Ichsan Diarsyad. "Determinants of Capital Structure in Islamic Banks in Indonesia." In Proceedings of the 6th International Conference of Economics, Business, and Entrepreneurship, ICEBE 2023, 13-14 September 2023, Bandar Lampung, Indonesia. EAI, 2023. http://dx.doi.org/10.4108/eai.13-9-2023.2341211.

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Ninaj, Marek. "THE DETERMINANTS OF CAPITAL STRUCTURE: EVIDENCE FROM THE SLOVAK REPUBLIC." In SGEM 2014 Scientific SubConference on POLITICAL SCIENCES, LAW, FINANCE, ECONOMICS AND TOURISM. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgemsocial2014/b22/s6.092.

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Kaveski, Itzhak David Sim�o, Larissa Degenhart, Mara Vogt, and Tarc�sio Pedro da Silva. "DETERMINANTS OF THE CAPITAL STRUCTURE COMPANIES IN INFORMATION TECHNOLOGY BRAZILIAN." In 11th CONTECSI International Conference on Information Systems and Technology Management. TECSI, 2014. http://dx.doi.org/10.5748/9788599693100-11contecsi/ps-728.

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"The Capital Structure Determinants of REITs: Is it a Peculiar Sector?" In 14th Annual European Real Estate Society Conference: ERES Conference 2007. ERES, 2007. http://dx.doi.org/10.15396/eres2007_368.

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Padilha, Daniel Fernando, Andressa Michels, Tarcísio Pedro da Silva, and Michele Gonçalves. "DETERMINANTS FACTORS CAPITAL STRUCTURE HIGH-TECH COMPANIES OF BRAZIL AND AUSTRALIA." In 13th CONTECSI International Conference on Information Systems and Technology Management. TECSI, 2016. http://dx.doi.org/10.5748/9788599693124-13contecsi/ps-4081.

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Reports on the topic "Determinants of the capital structure":

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Gompers, Paul, and Josh Lerner. The Determinants of Corporate Venture Capital Successes: Organizational Structure, Incentives, and Complementarities. Cambridge, MA: National Bureau of Economic Research, September 1998. http://dx.doi.org/10.3386/w6725.

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Welch, Ivo. Columbus' Egg: The Real Determinant of Capital Structure. Cambridge, MA: National Bureau of Economic Research, February 2002. http://dx.doi.org/10.3386/w8782.

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Coyle, William, Mark Gehlhar, Thomas Hertel, Zhi Wang, and Wusheng Yu. Understanding the Determinants of structural Change in World Food Markets. GTAP Working Paper, September 2000. http://dx.doi.org/10.21642/gtap.wp02.

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Abstract:
This study assesses the interaction between climate change and agricultural trade policies. We distinguish between two dimensions of agricultural trade policy: market insulation and subsidy levels. Building on the previous work of Tsigas, Frisvold and Kuhn (1997) we find that, in the presence of current levels of agricultural subsidies, increased price transmission --as called for under the Uruguay Round Agreement on Agriculture-- reduces global welfare in the wake of climate change. This is due to the positive correlation between productivity changes and current levels of agricultural support. Increases in subsidized output under climate change tend to exacerbate inefficiencies in the global agricultural economy in the absence of market insulation. However, once agricultural subsidies have also been eliminated, price transmission via the global trading system contributes positively to economic adaptation under climate change. products. This may partially explain the relatively slow growth of world grain import demand in recent years. In addition, bilateral agreements with East Asia, NAFTA, and the evolution of the CAP, have all had important impacts on the structure of world food and agricultural trade. The objective of this paper is to assess the relative role of each of the major forces-- consumer demand, factor accumulation, transport costs, and policy change--in driving changes in the composition of world food trade in 1980-1995. To do so, we employ a modified version of the Global Trade Analysis Project (GTAP) model of world trade which permits us to isolate the contribution of each of these related factors to the changing composition of world food trade in a general equilibrium context. We evaluate the relative role of each of these factors by simulating the model backwards in time, from 1995 to 1980 under different assumptions. This general approach, termed “backcasting” (i.e. backwards forecasting), takes as exogenous the basic drivers of change and attempts to explain the resulting change in food trade composition. The model-produced changes in the composition of agricultural and food trade are compared with historical trade data, to determine the relative importance of each factor on the changing composition of food trade. Given limited space, our focus will be on explaining the changes in the global composition of food and agriculture trade. A natural follow-on effort would target specific markets in more detail. This type of backcasting approach was first employed by Gehlhar (1997) who sought to explain the shift in exports of primary commodities to manufactures in East Asia in the 1980's. He calibrated the GTAP model to 1992 data, then implemented shocks to factor endowments and economywide total factor productivity (TFP) in order to force each economy back to its 1982 levels of population, land, labor, human capital, physical capital and technology. By comparing actual and predicted changes in export shares in this period, he found human capital accumulation played a key role in explaining the change in the aggregate composition of East Asian exports. Gehlhar, Hertel and Martin (1994) built on this work in an effort to predict future changes in the pattern of agricultural trade from 1992-2002. They also emphasized the importance of supply-side determinants of agricultural trade. In this paper, we go beyond this earlier work in a number of ways. First, we focus on the composition of agricultural exports, rather than simply looking at the share of agriculture in total trade. Secondly, we incorporate the Cranfield et al. estimates of Rimmer and Powell’s recently developed, implicitly directly additive demand system (nicknamed AIDADS) into the GTAP model. This permits us to better capture the impact of demand-side changes on the pattern of global tr
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Manzano, Osmel, and José Luis Saboin. Investment Booms and Institutions: Implications for the Andean Region. Inter-American Development Bank, May 2022. http://dx.doi.org/10.18235/0004260.

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This paper provides evidence of a positive effect of institutions and reforms in initiating investment booms. We constructed an unbalanced panel of 178 countries for the period 19502019 that considered institutions and reforms at different levels and dimensions. We analyzed the effects of these variables on 159 carefully estimated investment boom episodes, controlling for the standard determinants of investment and using a battery of estimation techniques and robustness checks. Overall, marketoriented and democratic institutions favor the advent of investment booms. Structural reforms present mixed effects and in some cases these are nonlinear. While trade and capital account reform have negative effects, domestic finance, product, and labor market reforms have the opposite. Beyond institutions and reforms, we find different effects regarding external, macro, and structural variables.
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Chetty, Raj, Matthew Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert Fluegge, Sara Gong, et al. Social Capital II: Determinants of Economic Connectedness. Cambridge, MA: National Bureau of Economic Research, July 2022. http://dx.doi.org/10.3386/w30314.

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Rauh, Joshua, and Amir Sufi. Capital Structure and Debt Structure. Cambridge, MA: National Bureau of Economic Research, November 2008. http://dx.doi.org/10.3386/w14488.

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Berk, Jonathan, Richard Stanton, and Josef Zechner. Human Capital, Bankruptcy and Capital Structure. Cambridge, MA: National Bureau of Economic Research, April 2007. http://dx.doi.org/10.3386/w13014.

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Desai, Mihir, and William Gentry. The Character and Determinants of Corporate Capital Gains. Cambridge, MA: National Bureau of Economic Research, December 2003. http://dx.doi.org/10.3386/w10153.

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Faulkender, Michael, and Mitchell Petersen. Does the Source of Capital Affect Capital Structure? Cambridge, MA: National Bureau of Economic Research, September 2003. http://dx.doi.org/10.3386/w9930.

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Bolton, Patrick, and Haizhou Huang. The Capital Structure of Nations. Cambridge, MA: National Bureau of Economic Research, July 2017. http://dx.doi.org/10.3386/w23612.

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