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This paper aims to test the empirical validity of the dynamic trade-off theory in its symmetric and asymmetric versions in explaining the capital structure of a panel of publicly listed US industrial firms over the period from 2013 to 2019. It analyzes the existence of an adjustment of leverage toward its target level and whether the speed of this adjustment is influenced by the debt measure, the model specification or/and the fact that the actual debt ratio is higher or lower than its long-term target level.

This paper uses a quantitative research methodology using panel data analysis under the partial adjustment model and the error correction model using the generalized moment method in first differences and in systems to explore the dynamic nature of firms’ capital structure behavior.

The results show that the effects of the conventional determinants of leverage are globally consistent with the trade-off theory predictions. The dynamic versions confirm that firms exhibit leverage-targeting behavior. Although this speed of adjustment (SOA) depends on the debt and model specifications, it is around 60% on average. The estimated SOA is higher for the market leverage measure compared to the book leverage. The asymmetric adjustment model reveals that firms are more sensitive to reducing leverage than increasing it when they are away from their target; overleveraged firms exhibit approximately 5% faster adjustment than underleveraged firms when book leverage is used.

The originality of this research paper lies in its development and test of an asymmetric model to allow the leverage adjustment speed to vary depending on whether the firm’s debt ratio is above or below its target level and the methodological approach as well as the different model specifications used and the insights generated through the application of rigorous econometric techniques.

This paper aims to investigate the non-homogeneity in the speed of adjustment (SoA) of the capital structure of manufacturing companies. It also attempts to study the key determinants that accelerate the speed of adjustment towards the target leverage level.

Using the dynamic panel fraction (DPF) estimator on the partial adjustment model, the study captures the heterogeneous SoA of 2,866 firms across eight prominent sectors of the Indian manufacturing industry from 2009 to 2020. To ensure robustness, the empirical inferences of DPF are cross-verified with the estimates of panel-corrected standard errors (PCSE).

The authors find a combination of the capital structure's slow, moderate and rapid adjustment speed along with the relevance of trade-off theory. Interestingly, the lowest and fastest SoA is recorded by the dwindling textile sector and expanding food and agro sector, respectively. Profitability, firm size, asset tangibility and non-debt tax shields are the key firm-specific parameters that impact the SoA towards the target.

Availing the rarely employed estimator ‘DPF’ and the objective of documenting diverse and non-uniform adjustment speeds across the Indian manufacturing sectors marks a novel addition to capital structure literature.

This paper examines the influence of Shariah compliance (SC) on firms' net working capital (NWC) target and adjustment speed.

The study samples of non-financial firms taken from six Gulf Cooperation countries between 2005 and 2019 and employs static and dynamic models to answer the present study research questions.

The outcomes of the study indicate that SC is one of the major determinants of the decision made by the corporation regarding their NWC. More specifically, enterprises that are compliant with restrictions within Shariah are seen to have laid targets of their NWC at a level that exceeds that of enterprises that are not compliant. Furthermore, compared to conventional firms, they seem to have higher speed when adjusting to meet set NWC targets. Submission to Islamic laws limits the choices from which an enterprise can outsource capital from existing funding instruments. Therefore, they experience a higher expected cost of bankruptcy. That being the case, such financial managers should readily maintain and adjust to higher NWC targets to meet current corporate needs, alleviate the risk of bankruptcy and lower dependency on expensive external funding options.

To the authors’ knowledge, this is the first study to explore the influence of SC on firms' NWC target and adjustment speed.

Recognizing the severity of COVID-19 on the US economy, the authors investigate the behavior of US-listed firms towards leverage speed of adjustment (SOA) during the pandemic. While prior evidence (based on an international study) shows that firm leverage increased during the pandemic leading to a higher SOA toward leverage ratios, leverage for US firms during the same period reduced drastically. Yet there is a dearth of empirical studies on the behavior of US-listed firms' SOA during the pandemic. The authors fill this void.

The study includes US-listed non-financial and non-utility firms for the period 2015Q1-2021Q4, covering a total sample of 45,213 firm-quarter observations. The authors’ empirical strategy is based on the generalized method of moments (GMM) and firm-fixed effect methodology, controlling for firm- and quarter-fixed effects.

Three main findings are established: (1) while the SOA toward book target increased during the pandemic, SOA toward market target increased significantly only for less valued and cash-constrained firms; (2) firms in states most impacted by the pandemic adjusted faster towards target ratio; and (3) while the emergence of the pandemic and the overall firm-level risk increased (decreased) the deviation from book (market) target, firm-level risk partially mediated the effect of the pandemic on how far firms deviated from target ratio.

This study enhances our understanding of leverage adjustment during the crisis and shows that risk avoidance motive and the market value of firms are key determinants of convergence rate during the crisis and further demonstrates that market leverage is more sensitive to market dynamics. As such, caution must be taken when dealing with and interpreting market leverage SOA.

Although prior evidence based on international study provides insights into how firms behave toward their leverage ratios because of the pandemic, little is known about how US firms react to the pandemic in terms of the target ratios, particularly (1) since the USA is one of the severely affected countries and (2) firms in the USA reduced their leverage ratios as against what prior evidence shows. The authors provide evidence to explain how and why US firms reacted toward their SOA during the pandemic.

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.

We explore the impact of equity liquidity on a firm’s dynamic leverage adjustments and the moderating impacts of leverage deviation and target instability on the link between equity liquidity and dynamic leverage in the UK market.

In applying the two-step system GMM, we estimate our model by exploring suitable instruments for the dynamic variable(s), i.e. lagged values of the dynamic term(s).

Our analyses document that a firm’s equity liquidity has a positive impact on the speed of adjustment (SOA) of its leverage ratio back to the target ratio in the UK market. We also demonstrate that the positive relationship between liquidity and SOA is more pronounced for firms whose current position is relatively close to their target leverage ratio and whose target ratio is relatively stable.

This study provides important implications for both firms’ managers and investors. Particularly, firms’ managers who wish to increase the leverage SOA to enhance firms’ value need to give great attention to their equity liquidity. Investors who want to evaluate firms’ performance could also consider their equity liquidity and leverage SOA.

We are the first to enrich the literature on leverage adjustments by identifying equity liquidity as a new determinant of SOA in a single developed country with many differences in the structure and development of capital markets, ownership concentration and institutional characteristics. We also provide new empirical evidence of the joint effect of equity liquidity, leverage deviation and target instability on leverage SOA.

This research intends to investigate the impact of economic policy uncertainty (EPU) on the firm's leverage and its adjustment speed.

This study applies dynamic panel data modeling by using a partial adjustment model. The study is based on secondary data of the non-financial firms that are listed on the Pakistan stock exchange. For the analysis purpose, the study applies the generalized method of moments (GMM) estimation technique and uses a newly developed text-based measure of economic policy uncertainty.

The results show the negative impact of EPU on leverage decisions but a positive impact of EPU on leverage speed of adjustment for both, short-run and long-run economic policy shocks. Additional analysis reveals that the negative influence of long-run policy shocks on leverage decisions is moderated through profitability, and the negative influence of short-run policy shocks on leverage is moderated through firm size, tangibility and available growth prospects. However, the significant positive impact of EPU on the leverage speed of adjustment in both short and long-term policy shocks indicates that the speed of adjustment for these firms is not affected by policy shocks.

This research contributes to the existing literature on capital structure dynamics,by investigating the impact of EPU on firm financing decisions and estimating the adjustment speed of capital structure in a developing market context. The study also extends the existing literature by applying the concept of long-run and short-run economic policy uncertainty in the capital structure dynamic framework. Additionally, the new news-based measure of EPU is used. Moreover, it also looks into the COVID-19 effect on the relationship.

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.

This study aims to address how Islamic banks (IBs) and conventional banks (CBs) manage their liquidity and their speed of adjusting liquidity holdings both in the short- and long term.

This study uses the partial adjustment model (PAM) on a sample of 445 banks from 17 Organisation of Islamic Cooperation countries over the period 2010–2018.

Results reveal that despite IBs’ placement of higher short-term liquidity buffer, they experience lower net stable fund ratio (NSFR) in the long term, relative to CBs. This study’s results also reveal that IBs enjoy higher and lower speed of adjustment (SOA) for NSFR in the long- and short term, respectively. Furthermore, the results suggest that bank-specific and macroeconomic factors weaken the liquidity SOA.

This study sheds light on the importance of the adjusting speed of bank liquidity in a bid to provide regulators with insights for enhancing liquidity holdings and emphasising the regulation of banks’ reaction pace to attain the target buffers.

This study estimates the liquidity adjustment speed of IBs and CBs by providing a comprehensive discussion and empirical evidence across countries. To the best of the authors’ knowledge, this study is the first to use PAM for the assessment of liquidity holdings in IBs and the first to examine SOA of short-term liquidity holdings in the banking sector.

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.