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This paper explores the connection between capital structure and financial performance within European listed firms. The primary objective is to demonstrate an inverse U-shaped relationship between these two variables and pinpoint an optimal debt-equity mix.

In this study, we adopt a dynamic modeling approach to investigate the relationship between a firm’s capital structure and financial performance. Drawing on well-established theories and prior empirical studies, our model examines 3,121 dividend-paying firms from 41 European countries over 14 years, from 2008 to 2021. To enhance the reliability of our findings, we employ two distinct estimation techniques: the fixed effect model (FE) and the system generalized method of moments (System-GMM).

This study reveals an inverse U-shaped relationship between the firm’s financial performance, measured by the return on equity (ROE) and its capital structure (total liability to total assets ratio). Furthermore, an optimal capital structure of about 29% is determined for all firms in the sample, and about 21%, 28% and 41% industry-specific capital structure for manufacturing, real estate and wholesale trade, respectively.

This paper contributes to existing knowledge by empirically determining an optimal capital structure for listed firms across various industries in Europe, which very few studies have attempted to do in the past. An optimal capital structure is an invaluable benchmark for managers and other stakeholders, informing their decision-making.

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.

The behavioural theory adds a new paradigm of analysis with the assumptions of the decision maker’s cognitive biases and their repercussions on financing decisions. The aim of the study is to analyse the repercussions of these biases on the adjustment speed of firm’s capital structure toward the optimal level.

Based on a partial adjustment model, the study uses the Dynamic Panel Fractional estimator to analyse panel data from 4,990 Portuguese entrepreneurial firms.

The results show that the cognitive overconfidence bias impacts the entrepreneurial firm’s capital structure. In fact, the firms run by overconfident managers adjust more slowly than their counterparts. Furthermore, the findings suggest that entrepreneurial firms make relatively fast adjustments toward the optimal debt level and follow a hierarchical financing order in the funding process.

The results of this paper are not only interesting to the academia, but also contain practical implications for corporate, institutional and business policy and governance. First, the paper introduces a new measure of cognitive bias in optimistic managers, which is useful for current and future academic research. Also, in practical terms, the findings of the paper reveal that when a company is contemplating hiring a manager, it should consider whether they need an optimistic or non-optimistic manager based on the company's present life cycle or situation.

The current analysis extends the existing literature. The study suggests that financial classical and behavioural paradigms should not be separated, which can provide evidence to help narrow the gap between these two major perspectives.

This study aims to explore the relationship between firm risk, capital structure, cost of equity capital and social and environmental sustainability during the COVID-19 pandemic for companies listed on Tehran Stock Exchange.

To this aim, the information about 190 companies in 2014–2020 was retrieved to be analyzed. The total risk and systematic risk were used as the indicators of company risk; the industry-adjusted earnings price ratio (IndEP) and GORDON were used for the cost of equity capital. To measure social sustainability and environmental sustainability, the procedure suggested by Arianpoor and Salehi (2020) was used.

Underleveraged firms have had a lower total risk during the COVID-19 pandemic, while overleveraged firms have not had a higher risk during this time. In overleveraged firms, using systematic risk has a negative impact on social sustainability during the COVID-19 pandemic. In overleveraged firms, using total risk and systematic risk has a significant negative impact on environmental sustainability in the pandemic. Besides, overleveraged firms have a lower cost of equity capital (IndEP) during COVID-19.

To the best of the authors’ knowledge, no similar study has so far examined the joint impact of COVID-19 and corporate risk on social and environmental sustainability and also the joint impact of COVID-19 and capital structure on the cost of equity. This study contributes to the related literature by providing corporations with insightful post-pandemic directions on capital structure decisions and social and environmental activities. Furthermore, this research and the relevant findings can help understand and develop social responsibility in Iran as a developing country.

This paper contributes to the existing literature by extending the empirical work on the relationship between corporate governance and capital structure by analyzing the mediating role of cost of capital in the non-financial firms listed on the Pakistan Stock Exchange (PSX).

The sample for this study includes non-financial firms listed on the Pakistan Stock Exchange (formerly Karachi Stock Exchange) for the period of 2004–2016. Based on 1800 firm-year observations, three approaches of panel data analysis are applied for the step-wise analysis of the underlying study. Firstly, Pooled OLS is applied. Secondly, fixed and random effect panel regression followed by the Hausman test to check the unobservable individual heterogeneity of the data. Hausman test indicates that the fixed-effects model is the most appropriate model for the sample panel data.

The study's findings are that board size, board composition, CEO/Chair duality, institutional ownership and managerial ownership have statistically significant direct effect on the firm's financing decisions. However, CEO/Chair duality, institutional ownership and managerial ownership have significant indirect effect on firm's capital structure decisions. The interesting finding of the paper is on the evidence of mediating role of cost of capital in the nexus of corporate governance and capital structure. Moreover, some conventional determinants of capital structure, including the firm's size, asset structure of the firm, profitability, business risk and growth, are found as determinants of capital structure decisions of the firms.

There are a few limitations to our study which could be addressed by upcoming research. We did not include all the four mechanisms of corporate governance including board structure, audit structure, compensation structure and ownership structure. However, we used only five important attributes including board size, board composition and CEO/Chair duality form board structure, managerial ownership and institutional ownership form ownership structure of corporate governance as our explanatory variables to examine their impact on the capital structure choices of the firms. Future studies may fill this research gap by involving some other attributes of corporate governance and analyzing their effectiveness and impact on value relevant capital structure decisions. Further, due to limited time and resources, we only tested the mediating role of cost of capital, hence, future researchers can analyze the mediating and moderating roles of different variables which may influence the relationship between corporate governance and capital structure choices of the firms.

The study has many valuable guidelines and practical implications for the financial managers of the corporations. Our results will facilitate the policymakers in setting their corporate governance policies and practices and making the value relevant capital structure decisions in compliance with the implications of corporate governance mechanism. In addition, our study provides the empirical evidence in accordance with the argument that good governance practices, particularly the voluntary disclosures by the firm may reduce the information asymmetry which, ultimately, reduces the agency cost and the cost of capital for the firm. However, while deciding the financial policy of the corporations, managers can use our findings in order to assess the effectiveness of corporate governance practices employed by the firm in achieving the optimal capital structure at which the weighted average cost of capital is at its minimum level.

This paper contributes to the literature by investigating the mediating role of the cost of capital in the relationship between corporate governance and capital structure decisions of the firms. This paper provides empirical evidence that corporate governance indirectly affects capital structure decisions through the mediating role of cost of capital.

This study aims to investigate the relationship between political connections and the over-indebtedness of firms in the construction industry. Furthermore, this study explores the moderating effect of corporate governance mechanisms with monitoring intent on this relationship.

This study uses the data from China’s listed construction firms for the years 2010–2019 to run the fixed-effect regression. This study constructs the optimal capital structure mathematical model by following the trade-off approach.

The research results show that most of China’s listed construction firms are surprisingly over-indebted in the long run. This study affirms that political connections positively impact the over-indebtedness of China’s listed construction firms. However, corporate governance can alleviate the impact of political connections on the over-indebtedness of China’s listed construction firms.

There were limited studies to discuss the relationship between political connections and the over-indebtedness of construction firms, and no particular attention has been given to the moderating effect of corporate governance mechanisms on the relationship between political connections and over-indebtedness. Moreover, in calculating the over-indebtedness of China’s listed construction firms, this study considers the financial characteristics of China’s construction firms when building the mathematical model of optimal capital structure, which makes the calculation results of over-indebtedness closer to reality.

Studies on sustainable finance examine how it is interrelated with economic, social, governance and environmental issues. Using financial data on publicly traded firms in Indonesia, this study aims to explore the interplay between the cost of capital, firm performance and the COVID-19 pandemic.

This study uses firm-level data sets of publicly listed firms from 2012 to 2021. The regression analysis reported in the study includes the Driscoll–Kraay estimator, propensity score matching model and fixed-effects regression.

The study revealed three significant findings. First, on average, non-environmental, social and governance (ESG) companies’ cost of capital is lower than that of ESG firms. Second, ROE in ESG enterprises is significantly impacted by capital costs. Third, the cost of capital has a negative impact on the market value (Tobin’s q) of non-ESG firms. The study specifically shows that after accounting for the pandemic, ESG firms did not benefit during the troubled COVID-19 crisis after controlling for the pandemic dummy years of 2020 and 2021. These results indicate that the adoption of green or sustainable finance is still in its infancy and that the sector requires more time to establish an enabling environment.

This study benefits from capital structure and ESG theories. It supports the argument that the debt utilization ratio is still relevant to a company’s value because it affects its financial performance. Moreover, adopting ESG principles helps businesses survive crises. Thus, the analysis confirms the superiority of ESG-based firms.

This study draws two conclusions. First, the results could be a reference for academics and practitioners to understand the effect of pandemic-related crises on a firm’s capital structure and performance. In terms of survival during a crisis, such as the COVID-19 pandemic, this study demonstrates how firms with strong ESG may perform differently than those without ESG. Second, this study supports the need for an empirical study and examination of the development of sustainable finance in the country while considering setbacks.

The results should be of interest to policymakers who focus on the ESG market and academics conducting ESG-related research on emerging markets.

This study contributes to the literature by establishing empirical evidence on the relationship between the cost of capital and firm performance of ESG- and non-ESG-rated enterprises in the Indonesian setting while controlling for the impact of the pandemic.

This study examines the potential impact of capital structure on the financial performance of family-owned firms in Jordan.

Using panel data of 107 listed companies from 2019 to 2021, the authors use a multivariate regression model to empirically examine the role that family firms' capital structure can play in engendering financial performance in the short and long terms.

This study's evidence indicates that family businesses rely on equity as their primary source of funding. This approach has been proven to be detrimental to their financial performance, as evidenced by the negative impact of capital structure on family firms' financial performance in the current study.

Capital structure-related decisions are essential to a firm's performance. Thus, there have been numerous empirical studies examining the relationship between capital structure and corporate performance in various settings worldwide. However, the findings of these studies are inconclusive. Also, there are relatively few empirical studies investigating the association between capital structure and the performance of family firms in emerging countries, particularly Jordan. This study, therefore, addresses this empirical gap in extant literature.

This paper aims to investigate the impact of corporate dividend policy on the capital structure in the Korean stock market. To distinctly discern the voluntariness of changes in corporate dividend policy, we analyze companies that, following a substantial increase, do not reduce dividends for the subsequent two years or, after a significant decrease, do not raise dividends for the following two years. Our empirical findings indicate that companies that increase dividends experience a significant decrease in both book and market leverage, even after controlling for variables such as target leverage ratios. This result suggests that a large increase in dividends can effectively reduce information asymmetry, leading to a lower cost of equity. On the contrary, after a decrease in dividends, both book leverage and market leverage significantly increase, revealing a symmetric relationship between dividend policy and capital structure. In conclusion, large dividend increases in Korean companies not only reduce information asymmetry but also lower the cost of equity capital, resulting in observable changes in the leverage ratio.

This study aims to understand how quickly Japanese banks readjust their capital ratios (leverage, regulatory capital, tier-I capital and common equity) following an economic shock.

This study uses a two-step system GMM framework to test the study's hypotheses using the annual data of Japanese commercial and cooperative banks ranging from 2005 to 2020.

The findings show that banks adjust their leverage ratio faster than regulatory capital, tier-I capital and common equity ratios. In addition to that, the results reveal that the speed of capital adjustment is higher for commercial banks than for cooperative banks, suggesting higher economic costs and implications for commercial banks. Furthermore, it is worth noting that well-capitalised (under-capitalised) banks tend to prioritise the adjustments to common equity (leverage) before considering the adjustments to leverage (common equity). According to the results, high-liquid (low-liquid) banks alter their regulatory capital and tier-I capital ratios (leverage) more quickly (more slowly) than low-liquid (high-liquid) banks.

The findings suggest that when formulating and implementing new banking regulations, particularly in assessing and adjusting specific capital requirements under Pillar II of Basel III, management (including bankers, regulators and policymakers) should consider the heterogeneity observed in the rate of capital adjustment across various bank characteristics. Additionally, bank managers should also consider the speed of adjustment when determining optimal half-life and target capital structures.

To the author's knowledge, this study represents a pioneering investigation into the rate of adjustment of capital ratios (leverage, regulatory, tier-I and common equity) within Japan's banking sector. The study employs a comprehensive dataset encompassing both commercial and cooperative banks to facilitate this analysis. A notable contribution to the existing body of literature, this study offers a detailed analysis and emphasises the varying degrees of adjustment in capital ratios. The study also highlights the heterogeneous nature of the adjustment rate in these ratios by categorising the data into well-capitalised, under-capitalised, highly liquid and low-liquid banks.