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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.

This chapter focuses on testing optimal capital structure theory: The role of intervening variable debt to equity ratio (DER) on the influence of the financial performance, Ownership Structure of Independent Board of Commissioners (IBCO), Audit Committee (ACO), and Institutional Ownership on Firm Value. The research design was explanatory research using path analysis. Using purposive sampling, 61 manufacturing companies, observation period from 2014 to 2018 with 286 N samples. The research novelty empirically can prove the role of intervening variable DER on the effect of return on assets (ROA) on firm value and shows the market response to the ROA is fully reflected by DER, indicating the existence of an optimal capital structure. The role of DER on the effect of ROE and IBCO on firm value is a partial mediation with the inverse direction. This phenomenon shows that the mechanism of forming a balance between the responses of investors and creditors relates to debt financing.

Capital structure is an important factor for the company because it will be directly related to the financial condition of the company. This study aims to determine the effect of asset structure, earning volatility, and financial flexibility on capital structure.

The population in this study was 52 companies in the consumer goods industry sector on the Indonesia stock exchange (IDX) and a sample of 39 companies obtained by purposive sampling method. The research method used in this study is multiple linear regression analysis using Eviews software.

The test results in the study show that asset structure and financial flexibility have a positive effect on capital structure, while earning volatility does not affect capital structure in companies in the consumer goods industry sector on the IDX.

The results of this research can contribute to the addition of knowledge in the field of accounting, especially regarding the capital structure. Company management can use the results of this research as a reference and consideration to find out the factors that affect the capital structure so that company management can still maintain the company's survival and improve company performance.

The results of this study can contribute to the addition of knowledge in the field of accounting, especially regarding capital structure. Company management can use the results of this research as a reference and consideration to determine the factors that affect the capital structure so that company management can still maintain the survival of the company and improve company performance.

This study only uses the variables of asset structure, financial flexibility and earning volatility as independent variables. Further research is recommended to consider the use of other variables that can affect capital structure and if using the same variable is expected to use research objects that have stable or increasing asset and income values, so that asset structure variables and profit volatility can show significant results and influences.

This study is one of the few studies that examines how the effect of asset structure, profit volatility and financial flexibility on capital structure in companies in the consumer goods industry sector on the IDX. Company management must pay attention to the composition of the capital structure as well as possible and make careful planning and the right decisions so as to produce a capital structure that can provide profits.

This study empirically investigates the relationship between goodwill assets and capital structure (i.e. debt ratio) of firms and the moderating effect of financial market development on the relationship between goodwill assets and capital structure.

This research applied a quantitative method. The article collects large samples of listed firms from 23 developing and nine developed countries and applied the panel data techniques. This research used firm-level data from the DataStream database for both developed and developing countries. The study uses 4,912 firm-level data from 23 developing countries and 4,303 firm-level data from nine developed countries.

The findings reveal a significant positive relationship between goodwill assets and capital structure in developing countries, but goodwill assets have a significant negative relationship with capital structure in developed countries. Moreover, financial market development positively moderates the relationship between goodwill assets and the capital structure of firms in developing countries. The results inform firm managers that goodwill assets serve as additional collateral to secure debt financing. Moreover, policymakers should formulate a debt market policy that recognizes goodwill assets as additional collateral for the purpose of obtaining debt capital.

The study has several implications. First, goodwill assets are identified as a factor of capital structure in this study. Fixed assets have been identified as one of the drivers of capital structure in previous research, although goodwill assets are seldom included. Second, this article shows that along with demand-side determinants, supply-side determinants also play an important role in terms of the firms' choice about the capital structure. Therefore, firms should take both the demand-side and supply-side factors into consideration when sourcing for external financing (i.e. debt capital).

The study considered goodwill as a component of capital structure. The study analysis includes a large sample of enterprises, including 4,912 big firms from 23 developing countries and 4,303 large firms from nine industrialized or developed countries, which adds to the current capital structure information. Furthermore, a large sample size increases the results' robustness and generalizability.

The political influence on the determinants of capital structure has been under-researched for a long time. Taking the turnover of secretary of municipal committee as a political factor in China, this paper studies the effect of local government officials' turnover on firm's capital structure.

Starting with all A-shares listed firms in the Shanghai and Shenzhen Stock Exchanges from 2001 to 2018, this paper implements the OLS estimation, staggered difference-in-difference approach to investigate the effects of political turnover on the choice of capital structure.

The results show that, driven by government officials' turnover, firms will significantly reduce their leverage. When comparing between formal finance (bank loans) and informal finance (payables), the reduction of capital structure is mainly driven by banks, not by suppliers. Furthermore, two possible channels have been investigated. First, the reduction effects are mainly driven by the SOEs when classifying the types of corporate ownership into SOEs and non-SOEs. Second, the reduction effects exist in areas with the more intense government intervention when considering the heterogeneity of the development of institutional environment in provinces.

This paper first contributes to the literature on the determinants of corporate choice on capital structure. Second, this paper enriches the studies on the economic consequences of local government officials' turnover.

The purpose of this paper is to analyze the corporate capital structure stability of listed firms in China during the period 1990–2013.

The study uses panel data from a sample of 716 firms that have been listed in China for at least 15 years. A fixed-effects panel data regression model with time effects is used in the estimation.

The findings show that size, profitability and investment opportunities have a significant influence on capital structure, whereas the tangibility of assets is not found to be significant. Few industries show significance in explaining differences and variation in leverage ratios.

It is recommended by this study that corporate managers of listed firms in China should consider leverage ratios variation while choosing the capital structure.

This study can be helpful in assisting companies to make financing decisions and setting up strategies relevant in their growth and profitability. The study will also have a significant assistance to bring to light corporate issues to policy makers, especially in the areas of both equity and debt financing, particularly the bond market. To the society, this study will show the nature of Chinese-listed companies, and it can assist individual investors in making decisions regarding companies in which they hold investments and in making meaningful comparisons with other companies. The paper also aims at contributing to the existing literature on the empirical study on capital structure.

The purpose of this study is to examine the factors that influence capital structure, profitability and stock returns and the relationship between capital structure, profitability and stock returns. The endogenous variables in this study are capital structure, profitability and stock returns, whereas the exogenous variables are firm size, growth opportunity, tangibility, liquidity, volatility and uniqueness.

The population used is a company that is listed on the compass index 100 period of August 2016. A total of 64 companies are sampled in this study. The unit of analysis is 448 data. The data analysis technique used is path analysis with the help of AMOS.

The results obtained show only profitability variables that affect stock returns. Variable capital structure, firm size, growth opportunity, tangibility and liquidity have no significant effect. Variables that influence capital structure are only influenced by growth opportunity, whereas other variables are not significant and variables that affect profitability are firm size, growth opportunity, uniqueness and volatility.

Path analysis is a model similar to the multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis and more general multivariate analysis groups. This research discusses that capital structure is useful for increasing the value of the company in the sense that the more debt that is used, a tax deduction will be obtained because of interest costs. So that the company’s profits will increase and eventually will increase the value of the company. This opinion remains a controversy among financial experts. Until now, there is no agreement that can explain the capital structure in all conditions of the company. There are two important theories concerning capital structure, trade-off theory and pecking order theory.

This study contributes to existing literature by investigating bank capital structure dynamics during the Covid-19 pandemic. The role of contemporary bank-specific determinants of capital structure during this period is analyzed.

An independent t-test is carried out to check the response of bank leverage to the crisis. Using fixed effect estimation and difference general method of moments (GMM), the impact of the shock is examined. An unbalanced quarterly data set from 2016q1 to 2020q3 of all commercial banks in Pakistan is used.

The study finds that due to procyclicality of capital, during the Covid-19 crisis, the banks preempted a fall in capital and improved their capital positions. The role of bank specific variables in determining capital structure like profitability, size and competition weakened during this period. Evidence suggests that policy rate intervention by the central bank was a significant factor in capital structure decisions during the Covid-19 period. The study finds that macroeconomic shocks have significant impact on capital structure decision-making of banks which goes beyond the bank-specific factors.

It finds evidence of a moderating role of monetary policy in capital structure decision-making which has not been previously highlighted in literature. Monetary policy is found to become an important factor deciding the capital structure of banks during the Covid-19 first 3 quarters. This study also explores the impact of Covid-19 on the bank-specific determinants of capital structure of banks.

The purpose of this paper is to examine the capital structure determinants and speed of adjustment (SOA) toward the target capital structure of firms.

The study has used the generalized method of moments (GMM) model and two-stage least squares (TSLS) to the panel data of 3,310 Indian firms, from January 2000 to March 2018, to determine the adjustment speed toward target capital structure. Further, the study employed a fully modified ordinary least square technique to shed light on the dynamic nature of the adjustment process.

The results of the GMM estimations indicate that Indian firms are adjusting their capital structure toward the target rate of 10.38 percent per year. Similarly, the findings of TSLS estimate specify a SOA of 15.49 percent per year. The low adjustment speed suggests the prevalence of higher adjustment costs of Indian firms.

Future research can be undertaken by including certain macroeconomic factors such as GDP, inflation and the interest rate, which also affect the SOA since firms are pretentious by market conditions while designing capital structure for firms.

In the current financial and regulatory set-up when there are frequent perturbations in the capital market, the study will be valuable for regulators, firms and academicians. The work would enable the concerned stakeholders to manage their scare resources and capital effectively by a better way to make informed decisions. It will facilitate managers of young companies to identify and regulate the factors that are more pertinent for them to make flexible financial decisions concerning the capital structure.

The study amplifies on previous studies and provides new insights on the speed of the adjustment process of Indian firms, helping to modify and refine their capital structures toward the optimum capital structure. This will not only enhance the financial flexibility in the capital structure of Indian corporates but also be of great value to the policymakers and other stakeholders.

The purpose of this paper s to study the financing behavior of family firms (FF), as these differ from their small- and medium-sized enterprise (SME) counterparts in their capital structure decision, mainly due to an increased risk aversion and the desire to maintain control over the firm.

A sample of 470 SMEs from a bank-based environment is examined for the period of 2005-2010. A dynamic panel data model is utilized to assess both the role of several capital structure determinants and the target-adjusting behavior for different subsamples of firms.

The results show that FF, whether controlled by founders or not, are relatively more leveraged. The aim to maintain long-term control and limited financing options and other factors seem crucial to the observed differences in leverage and dominate risk considerations associated with higher debt. Presumed differences in agency costs across generations do not drive capital structure decisions, as overall leverage does not differ between founder- and descendant-controlled family firms (FCFF and DCFF, respectively). Firms with a founder-chief executive officer (CEO), however, adjust faster to deviations from a target debt ratio. The effects of many proposed capital structure determinants differ across firm types, but are highly consistent with predictions from the pecking order theory.

Based on the results of this study, we suggest policy-makers in bank-based economies like Austria to strongly focus on mechanisms that facilitate the access to bank debt to ensure adequate allocation of finances to SMEs. This is especially important to stimulate growth and further innovation for the dominant group of FF, as they rely on debt the most to maintain family control.

This paper makes a novel contribution to the literature, as it combines an analysis of the capital structure of non-listed family firms (NFF) in a bank-based economy, the respective role of founder management, the dynamic adjustment to a presumed debt target and joint tests of capital structure theories.