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This study aims to examine the impact of sustainable practices as proxied by the environmental, social and governance (ESG) score on capital structure. It also investigates whether ESG performance influences the speed of adjustment (SOA) to target leverage in firms.

The sample covers 116 non-financial firms listed on the main stock exchanges from five Southeast ASEAN countries (Bursa Malaysia, Indonesia Stock Exchange, Philippines Stock Exchange, Singapore Stock Exchange and Stock Exchange of Thailand) over the period 2012–2019. The study adopts the OLS regression and system-GMM estimators to perform the data analysis.

The authors show that the ESG score is positively associated with book leverage, suggesting that firms increase their debt capital through sustainable practices. However, they find that the ESG score is negatively associated with market leverage across our model estimations. The authors also reveal that environmental, social and governance pillar scores produce about 7.82%, 2.88% and 0.47% SOAs, respectively, higher than the SOA of the traditional SOA without the ESG factor. The aggregate ESG score has about 3.41% SOA higher than the baseline SOA without the ESG factor.

This study is of interest to investors, corporate firms and policymakers. The study demonstrates that the ESG score increases the firm’s SOA to target leverage. By disaggregating the ESG score, the authors establish that ESG pillar scores produce higher SOAs than the traditional SOA (without ESG), with the environmental score inducing the fastest SOA. Practically, the study implies that environmentally sustainable activities reduce environmental transaction costs, benefit firms through better information transparency and enhance a trustful climate between the firm and suppliers of capital. Therefore, this study demonstrates that firms do not only incur the cost of disseminating ESG information but also benefit from lower information asymmetry and a higher SOA with better tax-deductible advantages.

The findings have combined advantages for both stakeholders and directors who monitor and manage the firms’ resources to improve the quality of ESG practices and initiatives.

To the best of the authors’ knowledge, this study is among the first to establish that sustainable practices induce higher debt capital. Secondly, unlike prior research focusing on the cost of capital, the authors examine whether ESG performance affects capital structure patterns. Thirdly, it documents the extent to which sustainable practices influence the SOA towards target leverage in firms. The authors contribute to corporate finance literature that firms reach faster to their target leverage in the presence of ESG performance. Theoretically, through the notion of the stakeholder proposition, the study establishes that the firms’ pursuance of stakeholder goals further enhances the prediction of the trade-off theory.

Using a 10,709 firm-year sample covering the 1998–2007 period, we investigate the determinants of capital structure among 1,491 ASEAN-4 (Indonesia, Malaysia, the Philippines, and Thailand) emerging market firms. Building on the work of previous authors, we apply the two-step generalized method of moments (Arellano & Bond, 1991) to develop country-specific dynamic models of target leverage decisions. The right-hand variables incorporate a lagged leverage term that controls for the firms' target adjustment process and the following four explanatory variables: firm size, profitability, tangibility, and nondebt tax shields. The sign and significance of each coefficient provides evidence regarding whether the impact of the associated variable is consistent with the trade-off or pecking order theories. We find that size is negatively associated with leverage among Malaysian, Philippine, and Thai firms but positively associated among Indonesian firms. Profitability is negatively associated with leverage among Indonesian and Malaysian firms but positively associated among Philippine firms. Tangibility is negatively associated with leverage among Malaysian firms but positively associated among Philippine firms. While the impacts of size and profitability are consistent with pecking order theory, the impact of tangibility is not supportive of a specific theory. Of the four variables, size is consistently influential, while nondebt tax shields have no significant impact among firms in any country.

The purpose of this paper is to investigate how the timing behavior and the adjustment toward the target of capital structure interact with each other in the capital structure decisions. Past literature finds that both timing and targeting are significant in determining the leverage ratio which is inconsistent with any standalone framework. This study argues that the preference of the firm for timing behavior or targeting behavior depends on the cost of deviation from the target. Since the cost of deviation from the target is likely to be asymmetric between overleveraged and underleveraged firms, the direction of the deviation from the target leverage is expected to alter the preference toward timing or targeting in the capital structure decision.

This study used the GMM system estimators with the Malaysian data for the period of 1992-2009 to fit a standard partial adjustment model and to estimate the speed of adjustment (SOA) of capital structure.

This study finds that Malaysian firms, on average, adjust their leverage at a slow speed of 12.7 percent annually and this rate increased to 14.2 percent when the timing variable is accounted for. Moreover, the SOA is found to be significantly higher and the timing role is lower for overleveraged firms compared with underleveraged firms. Overleveraged firms seem to find less flexibility to time the market as more pressure is exerted on them to return to the target regardless the timing opportunities because of the higher costs of deviation from the target leverage. Underleveraged firms place lower priority to rebalance toward the target compared with overleveraged firms as the costs of being underleveraged are lower and hence, these firms have more flexibility to time the market.

The findings of this study support that firms consider both targeting and timing in their financing decisions. No standalone theory can interpret the full spectrum of empirical results. The empirical work is based on partial adjustment model of leverage; however, this model has been criticized by inability to distinguish between active adjustment behavior and mechanical mean reversion. This is an avenue for future research.

This study investigates if targeting and timing behaviors are mutually exclusive as theoretically expected or they can coexist. A theoretical explanation and an empirical investigation support the conclusion that firms consider both targeting and timing in their financing decisions. This study provides evidence from Malaysian firms that are characterized by concentrated ownership structure and separation of cash flow rights and control rights of the firm due to pyramid ownership structure. Therefore, it provides evidence on how environmental characteristics may affect the capital structure determinants of the firm.

The purpose of this paper is to examine the optimal leverage ratio, speed of adjustment, and which factors contribute to achieving the target of selected telecom companies in a partial adjustment framework from 2008 to 2017. Further is to analyze the likelihood of bankruptcy of sample companies by Altman Z-Score model and to suggest which theory of capitals structure is better in explaining leverage strategies and judicious mix of debt and equity structure of the selected telecom companies.

This paper chooses a partial adjustment model and uses the generalized method of moments technique to identify the variables that influence the target leverage ratio and the factors that influence the speed at which the target leverage is adjusted. Second, the Altman Z-score model is used in this paper to research the financial status of telecom companies using financial instruments and techniques.

For Indian telecom firms, firm-specific variables such as profitability, NDTS and Z-score lead to greater debt adjustment towards optimal level target leverage. The paper also highlights new paradigms in the Indian telecom sector, stating that top market leaders such as Bharti Airtel, BSNL, Idea, Vodafone and R.com, among others, should focus on debt reduction and interest payments, as well as implement new strategies to solve the crisis and change financial policies.

It mainly focuses on firm-specific variables because the firm-specific variables affect the leverage framework. The country-specific variables are not taken into the study. These results may be unique to telecom companies due to some peculiarities existing in the telecom sector in India. Although other sectors, both national and international level, can be taken into consideration.

This paper has ramifications for corporate executives, investors and policymakers in India, for example, in terms of considering different transition costs while changing a telecom company’s financing decisions.

To the best of the authors’ knowledge, this is the first paper of its kind to look at both financial and econometric tools to assess financial performance using the Altman Z-Score model, as well as decide leverage strategies and the pace with which they can be adjusted to target leverage in the context of Indian telecom companies.

The purpose of this paper is to test the validity of dynamic tradeoff theory and argue that the speed of adjustment toward the target capital structure may vary depending primarily on some inherent firm characteristics.

The objective of this article is to study the impact of the corporate governance arrangements on the capital structure behavior taken by listed French firms. The author measures the corporate governance arrangements in three different ways to capture its influences on the capital structure and analyze how it affects a firm's rebalancing behavior in the presence of relevant control variables. Assuming that costs related to deviations from the target leverage are positively correlated with the duration of the deviation, the author finds that firms with a strong governance system adjust at a faster rate because the longer the deviation lasts, the greater the loss in firm value. In addition, firms with more efficient governance structures face lower adjustment costs.

The author measures corporate governance quality in different ways by using several proxies. The results make a major contribution to the literature and show that the quality of the governance system is an important factor in helping the company achieve fatly its target leverage. The authors produces further support for the initial finding by showing that the two extreme leverage deviation groups are dominated by firms with weak governance. The author also shows that the rebalancing speed is faster for firms with strong governance systems.

The paper proposes that a firm characterized by a strong governance system will display a shorter-duration deviation from the target capital structure and a higher adjustment level than a firm with weak governance. In other words, the author argues that the deviation from the target capital structure and the adjustment level are related to the quality of corporate governance. The results indicate that firms with a stronger governance structure are characterized by shorter-term deviations from the target. The author also finds that firms belonging to the two subsamples where leverage deviation is at extremely high or low levels are characterized by a weak governance system. The results corroborate the hypothesis on the speed of adjustment toward the desired target leverage. Furthermore, the author empirically proves that the adjustment level of firms with stronger governance is higher in both extreme leverage situations. This paper extends the existing literature on capital structure adjustment by introducing the effect of corporate governance.

The authors examine the impact of asymmetric information on firm's financing decisions, the feedback effect of changes in capital structure on the level of asymmetric information, and the speed of adjustments in capital structure on its target leverage.

The authors extract the data on 280 non-financial firms listed in the Pakistan Stock Exchange (PSX) from the DataStream. The authors implement the generalized method of moments (GMM), complemented by the fixed effect model (FEM) to estimate the model coefficients.

The authors find that asymmetric information significantly affects the financing decisions; and that on average, firms adjust 26% of the total debt toward their target capital structure. The negative effect from the difference between the observed and target changes in leverage on asymmetric information confirms that capital structure changes act as a signal for future profitability and helps the management to lower its level of asymmetric information.

The findings offer fresh insight into the effect of asymmetric information on financing decisions, as well as the speed of adjustment of capital structure toward its target leverage, in the context of the firms working in emerging markets like Pakistan. To the authors’ best knowledge, this is the first study to investigate the impact of asymmetric information on financing decisions that incorporate firm's age, size and the global financial crises 2007–2008. The authors construct an asymmetric information index using both accounting and finance measures of asymmetry.

The main purpose of this paper is to empirically examine how firm-specific (idiosyncratic) and macroeconomic risks affect the external financing decisions of UK manufacturing firms. The paper also explores the effect of both types of risk on firms' debt versus equity choices.

The paper uses a firm-level panel data covering the period 1981-2009 drawn from the Datastream. Multinomial logit and probit models are estimated to quantify the impact of risks on the likelihood of firms' decisions to issue and retire external capital and debt versus equity choices, respectively.

The results suggest that firms considerably take into account both firm-specific and economic risk when making external financing decisions and debt-equity choices. Specifically, the results from multinomial logit regressions indicate that firms are more (less) likely to do external financing when firm-specific (macroeconomic) risk is high. The results of probit model reveal that the propensity to debt versus equity issues substantially declines in uncertain times. However, firms are more likely to pay back their outstanding debt rather than to repurchase existing equity when they face either type of risk. Of the two types of risk, firm-specific risk appears to be more important economically for firms' external financing decisions.

The findings of the paper are equally useful for corporate firms in making value-maximizing financing decisions and authorities in designing effective fiscal and monetary policies to stabilize macroeconomic conditions. Specifically, the findings emphasize on the stability of the overall macroeconomic environment and firms' sales/earnings, which would result stability in firms' capital structure that help smooth firms' investments and production.

Unlike prior empirical studies that mainly focus on examining the impact of risk on target leverage, this paper attempts to examine the influence of firm-specific and macroeconomic risk on firms' external financing decisions and debt-equity choices.

Building upon the framework of the tradeoff model of capital structure and motivated by the equity market timing theory, we examine whether equity misvaluation is a source of adjustment “costs” that will affect a firm’s leverage adjustment speed toward target. We also investigate whether the quality of a firm’s long-term growth options will influence the decisions of managers to exploit the mispriced equity to converge to the optimum. Using a sample of listed Taiwanese firms during 1992–2014 and employing the market-to-book decomposition as developed by Rhodes-Kropf, Robinson, and Viswanathan (2005), we find that overleveraged and overvalued firms demonstrate faster adjustment speed than overleveraged but undervalued firms. Furthermore, controlling for the misvaluation status, high-growth firms converge to target faster than their low-growth counterparts. The effect of growth options on the relation between equity mispricing and adjustment speed does not mirror the effect of financing deficits. With the detailed financial information of the local companies across a rather long time series, this study provides incremental inputs to the literature of capital structure from the determinants of target leverage, the estimation of leverage adjustment speeds, to the identification of the sources of adjustment costs in an emerging market where institutional environment is strikingly different from the US.

The purpose of this paper is to examine the effects of the post-merger integration duration on acquiring firms’ leverage behavior before and after a merger, using a dynamic model in which full merger benefits cannot be consumed at the instant of a merger, but rather after a pre-specified post-merger integration period.

This paper presents a dynamic model and empirical tests that describe the impact of the post-merger integration period on the capital structure dynamics of the acquiring and target firms before a merger and during the post-merger integration period. By incorporating costs associated with the post-merger integration period, the model can provide new implications for the leverage behavior around the merger.

The model generates new implications related to acquiring firms’ leverage dynamics along with method of payment choice. Specifically, the model indicates that the post-merger integration duration is negatively associated with the market leverage of newly-merged firms at the time of merger completion and during the integration period. Further, acquirer managers are more likely to use equity to finance a merger when the integration duration is likely to be lengthy.

This is the first model in the literature that assumes that both the acquiring and the target firms can change their capital structure overtime, which allows us to analyze both the financing structure and the merger timing. Previous empirical studies also ignore the integration period in the analysis of the method of payment choice and leverage behavior around mergers. In the tests reported in this paper, the authors control for the factors mentioned above and demonstrate that the expected integration duration is not subsumed by those variables implying that it has its own power in explaining the choice of leverage and merger financing method.

This paper aims to examine the relationship between Shariah compliance and corporate capital structure decisions. This study explores the variation of capital structure speed of adjustment.

The authors’ sample includes a sample of the largest 200 nonfinancial firms trading in the Malaysian and Pakistan stock markets. This study uses ordinary least squares and dynamic two-step system generalized method of moments to test the hypotheses of the study.

The results show that Shariah-compliant firms use a lower level of leverage than the noncomplaint firms. Moreover, while both types of firms have optimal capital structures, the speed of adjustment toward the targets is slower for Shariah-complaint firms than non-Shariah-compliant firms. This variation can be seen through the different levels of market imperfection experienced by the two types of firms. Shariah-compliant firms follow Islamic rules that restrict the type and degree of leverage, thus affecting the availability of external funding to Shariah-compliant firms.

The findings call for more development and innovation of financing instruments that comply with Shariah rules that will increase of supply of external funds for Shariah-compliant firms and, thus, reduce market imperfections that are faced by Shariah-compliant firms.

The study contributes to the limited number of studies that examine the nexus between conventional corporate theories and Islamic corporate finance.