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This study aims to examine some of the commonly proposed deviants associated with the banking industry in the context of the capital structure puzzle. The paper considers the role of guarantees, information asymmetry and other frictional factors in the context of modern financial markets and examines whether these factors deserve special consideration in solving the capital structure puzzle for banks.

The authors adopt the argumentation theory model proposed by Toulmin (1958) as the methodological approach in this paper.

The findings from this paper demonstrate that any solution to the capital structure puzzle, whenever available, will also solve the capital structure puzzle for banks without additional efforts. The focus of future research should be on solving the generic capital structure puzzle for a universal set of firms rather than focusing on the banking industry as a subset with unique features.

The paper adopts a novel methodological approach offered by argumentation theory to pursue the enquiry. To the best of the knowledge, this paper is the first paper in the finance literature that uses argumentation theory to develop a theoretical construct. The finding from this study offers guidance for the proliferation of research paradigms in the capital structure puzzle.

This paper seeks to explore the potential drivers of corporate capital structure.

The paper applies both fixed effects panel models and random effects tobit models to examine this issue. A sample of 379 firms is used across the period from 1991 to 2002.

It is found that corporate characteristics (firm size, firm risk, firm growth rate, firm profitability and asset tangibility) and corporate governance characteristics (board size and outside directorships) are the main drivers of capital structure of UK firms. In addition, the results show that changing the definition of capital structure may result in changing the sign and the significance of these potential drivers.

The paper argues that another dimension of the capital structure puzzle can be introduced which is related to the definition of capital structure used in prior studies. It is worth noting that the aim of this paper is not to provide an optimal set of factors that may affect the decision of capital structure, but to highlight the effect of the different definitions of capital structure that can be used by different studies, which makes the comparison between such studies difficult or even erroneous.

Although earlier capital structure theories, grounded within the finance paradigm (agency theory, transaction cost theory etc), have contributed to a deeper understanding of the capital structure puzzle, recent efforts suggest that research for the missing pieces of the puzzle should continue. This paper considers that these missing pieces of the puzzle could be diverse non‐financial and behavioural factors influencing capital structure decisions, that have received relatively little attention from finance researchers. The paper reports on an exploratory attempt to use interview techniques for the study of capital structure in small firms. Interviews can provide evidence about non‐financial and behavioural variables that quantitative analysis cannot. The paper develops a model for understanding capital structure decision making in small firms. It analyses the responses of small business owners/managers concerning the management of the financial structure of their firms and the factors that influence their capital structure decisions. Small business owners’ responses indicate that although a number of different financial variables may affect their capital structure decisions, other non‐financial and behavioural factors such as the need for control, risk propensity, experience, knowledge and goals may be more important in influencing the capital structure of their firms, at any time. The results indicate that significant progress in understanding the factors that influence capital structure may be achieved if financial researchers incorporate management theory in their studies, so that financial as well as non‐financial and behavioural factors are explored.

This paper aims to investigate whether all-equity firms are a heterogeneous group as it relates to agency costs when compared to a matched sample of levered firms and to contribute toward the understanding of the “low leverage” puzzle and the motivations behind such a perplexing phenomenon.

Propensity score matching (PSM) is used to control for endogeneity issues common to this line of research. Because all-equity firms are self-selecting, it is not possible to conduct a true randomized study. PSM attempts to simulate a randomized study by selecting matching observations with similar propensity scores as the all-equity observations.

Agency costs are not the only explanation leading to the implementation of an all-equity capital structure. The motivation of such structure is strongly influenced by free cash flows (FCF) and growth opportunities (GO), whereby firms that have high levels FCF combined with low GO exhibit higher levels of agency costs versus their levered peers, while those that have low levels of FCF and high GO exhibit no significant difference in agency costs.

A better understanding of why a firm chooses such an extreme capital structure can help investors, auditors and potential future creditors in their decision-making process.

Most prior research treats capital structure as an exogenous variable. By applying PSM, not previously used in prior research, a new methodology is used to address the endogeneity issue related to observational studies such as this one. This paper contributes toward further understanding the perplexing “low-leverage” puzzle often discussed in the financial and accounting literature.

The purpose of this paper is to determine the factors affecting the capital structure of companies engaged in the Indian energy sector.

Capital structure theories and empirical literature have been reviewed to formulate propositions concerning the factors/variables determining the capital structure of Indian energy companies. The examination is done using panel data techniques for the sample 141 companies operating in the Indian energy sector.

The results show firms’ age, asset turnover ratio, liquidity and firms’ size to be significant determinants of capital structure for the Indian energy companies, while profitability, debt service capacity, sales growth, non-debt tax shield and tangibility ratio to be insignificant determinants. Historically, profitability has shared a significantly negative relationship with debt ratio; however, the relation here is not significant.

The focus of the current study is on Indian energy sector, the results obtained will not be applicable for other sectors.

The current research gives an insight into the determinants of capital structure of the companies engaged in the Indian energy sector, which are mostly overlooked due to the laws, policies and regulations governing the sector as a whole.

This study employs a sample survey to determine and analyse the corporate finance practices of South African listed companies in relation to cost of capital, capital structure and capital budgeting decisions.The results of the survey are mostly in line with financial theory and are generally consistent with a number of other studies. This study finds that companies always or almost always employ DCF methods such as NPV and IRR to evaluate projects. Companies almost always use CAPM to determine the cost of equity and most companies employ either a strict or flexible target debt‐equity ratio. Furthermore, most practices of the South African corporate sector are in line with practices employed by US companies. This reflects the relatively highly developed state of the South African economy which belies its status as an emerging market. However, the survey has also brought to the fore a number of puzzling results which may indicate some gaps in the application of finance theory. There is limited use of relatively new developments such as real options, APV, EVA and Monte Carlo simulation. Furthermore, the low target debt‐equity ratios reflected the exceptionally low use of debt by South African companies.

The purpose of this paper of this study is to examine the possible factors contributing to the issue of inconclusiveness in capital structure studies. This study also attempts to provide logical explanations to the unresolved issue of inconsistencies in the relationship between factors identified and leverage in capital structure studies. Comparisons are also made between the emerging market and the developed market to see whether the findings are consistent with both market landscapes.

This study employs two models in its methodology which are static and dynamic models to examine the effects of using different models in the study. The fixed effect model and partial adjustment model represent the static and dynamic models, respectively. The dynamic model is estimated using generalized method of moments. This study also uses six definitions of leverage to examine the impact of using different leverage definition in capital structure studies. To test the robustness of the findings comparison were made with past studies done by other researchers on developed markets.

This study found that the use of different models (with the same leverage definition) and different leverage definitions (using the same model) give different results including signs. Inconsistencies were more obvious in the different leverage definitions (using the same model) compared to the use of different models (with the same leverage definition). There was also evidence that the findings were consistent with both the emerging and the developed markets as other studies on developed markets also report inconsistent results when using different models and different leverage definitions.

The sample chosen focussed only on firms in three emerging markets (Malaysia, Thailand and Singapore) thus it may not be sufficient for generalization.

The issue of inconclusive results and findings in capital structure studies keeps recurring but no study has been done to further understand the issue. Using data from the selected countries, this paper attempts to fill this gap in the literature.

This study aims to measure impact of several firm-specific factors on alternative measures of leverage. The authors also aim to study impact of the subprime crisis on such associations.

The authors utilized an unbalanced panel data of 973 firm-year observations on 47 UK listed non-financial firms for the years 1990–2019. Book-based and market-based long-term and total leverage measures have been used as explained variables. The explanatory variables are profitability, size, two measures of growth, asset tangibility, non-debt tax shields, firm age and product uniqueness. Fixed effect and random effect models with clustered robust standard errors have been utilized for data analysis. To find the effect of subprime crisis, original dataset was split to create pre-crisis and post-crisis datasets.

The authors find that profitability significantly reduces leverage while firms having more tangible assets use significantly more debt in capital structure. Firm size and non-debt tax shield have statistically insignificant positive impact on leverage. Having more unique products reduces use of external debt, albeit insignificantly. Growth, when measured as market-to-book ratio, has inconsistent impact, whereas capital expenditure insignificantly reduces leverage. Age is found to be an insignificant predictor of leverage. After the subprime crisis, firms started relying more on internal fund instead of external debt, more particularly short-term debt. Having more collateral is gradually becoming more important for availing external debt.

Data limitations restrict generalization of the findings.

This is one of the pioneering attempts to show how subprime crisis altered the theoretical domain of capital structure research in the UK.

The paper aims to examine the effect of CEOs' social networks on capital structure complexity (CSC) and firm performance.

Ordinary Least Squares regression (OLS) and Generalized method of moments (GMM) regression results estimate the effect of CEOs' (Chief executive officer) social networks on capital structure complexity and firm performance. The number of sources of capital (NSC) and concentration ratio estimate the capital structure complexity for the sample firms.

The results show that CEOs' social networks significantly influence CSC. We suggest that the CEOs' social networks encourage them to make more complex capital structure decisions. This behavior deteriorates firm performance.

There is a lack of systematic conceptual reason for measuring CEO social network. Future research should use other measures of the social network to estimate the relation of the CEO's social network with CSC and firm performance.

The findings support the managerial power approach and social network theory that the observable characteristics of CEOs influence CSC. The results are robust for an alternative explanation.

By investigating the impact of the influence of CEOs' social networks on CSC and performance, the authors extend research on strategic leadership and capital structure and firm performance.

The purpose of this paper is to shed light on the ongoing debate of dividend policy, which is considered one of the most controversial topics in corporate finance literature.

The paper provides a survey of literature; it, first, outlines the main theoretical arguments of dividend policy and then critically discusses the most important and influential previous empirical studies in the dividend literature.

The analysis of literature review detects that no general consensus has yet been reached after many decades of investigation, despite extensive debate and countless research. Consequently, the main motivation for paying dividends is still unsolved and thus remains as a puzzle. In addition, there is no doubt that carrying the dividend debate into the context of emerging markets attaches more pieces to this puzzle.

This paper offers an updated and more comprehensive survey of literature by examining the relationship between theory and practice from both developed and emerging markets.