The study aimed to measure the effect of using loans and equity in the capital structure on evaluating financial performance, whether in terms of profits or liquidity, in banks in the city of Al-Kharj through the descriptive analytical approach. Data was collected from the study population through a questionnaire, where 200 questionnaires were distributed, of which 187 were collected, and 183 were valid for analysis. Data were analyzed using PLS-SEM software. The validity and reliability of the data were confirmed. The results of hypothesis testing showed a weak positive effect of using equity on the financial performance (profits and liquidity) of banks in Al-Kharj city. It also turned out that there was a strong positive effect of using loans on financial performance (profits) in banks in the city of Al-Kharj, and there was no effect of using loans on financial performance (liquidity). In banks in Al-Kharj city. The researcher recommended conducting more studies on the effect of capital structure on the financial performance of banks in other regions in the Kingdom of Saudi Arabia to confirm the validity of the current study results.

This study examines the impact of capital structure on firm value within the food manufacturing sector of South Africa, addressing a critical gap in the literature on emerging markets. Using a balanced panel dataset of eight listed firms from 2007 to 2018, the research utilizes panel regression models—Common Effect (CEM), Fixed Effect (FEM), and Random Effect (REM)—with the Hausman test indicating REM as the optimal choice. Key findings demonstrate that profitability (RA), debt-to-equity ratio (DE), and firm size (FS) significantly enhance stock prices at a 1% significance level. In contrast, liquidity (CR) negatively affects stock prices (10% significance), while asset growth (AG) shows no significant impact. These results challenge traditional capital structure theories, emphasizing that South African firms strategically use debt for tax advantages despite market volatility, a stark contrast to developed economies where liquidity is typically prioritized. The study highlights the contextual significance of macroeconomic factors, such as energy shortages and regulatory policies (e.g., Black Economic Empowerment), in influencing financing decisions. By bridging the gap between classical theories and emerging market dynamics, this research provides actionable insights for policymakers to encourage sustainable capital structures, for investors to reconsider the role of liquidity in volatile environments, and for the government to develop better policies to support businesses. This research is novel; it is among the first to investigate the link between firm value and capital structure specifically for food manufacturing companies in South Africa over 12 years. It is distinctive because it frames capital structure choices within the unique industrial and economic environment of South Africa, contributing a framework for optimizing firm value in similar emerging markets.

This study investigates the impact of cash holdings and capital structure on firm valuation in Egypt's emerging market, examining how COVID-19 altered investor perceptions. The research employs explainable machine learning (ML) to uncover non-linear financial thresholds that traditional valuation models overlook. Egyptian listed firms from 2015 to 2022 are analyzed using a Super Learner ensemble (Extremely Randomized Trees, Extreme Gradient Boosting, and a Linear Regression meta-learner) alongside SHapley Additive exPlanations (SHAP) and partial dependence analysis, with the Super Learner's performance compared against conventional methods in assessing financial policy effects on Tobin's Q. Three key findings emerge: (1) Leverage exhibits a non-linear relationship with valuation, where extreme levels (LEV > 1.2) unexpectedly enhance firm value, challenging trade-off theory; (2) Cash holdings demonstrate threshold effects, with optimal value at ~40% of assets and sharply increasing marginal benefits beyond this point; and (3) COVID-19 amplified these dynamics, elevating the liquidity premium while penalizing excessive debt. The Super Learner significantly outperformed traditional statistical and ML models (R² = 0.572 vs. 0.19-0.47). Practical implications suggest that investors and managers in emerging markets should adopt dynamic cash-debt optimization to avoid undervaluation, while policymakers can use ML-driven thresholds to design crisis-responsive regulations. This study contributes to the literature by (1) identifying non-linear thresholds that extend trade-off and pecking order theories, (2) introducing explainable ML to valuation research to balance accuracy and interpretability, and (3) providing novel evidence of COVID-19's structural impact on investor behavior in emerging economies.

This research aims to examine bank specific, market and regulatory determinants of leverage and capital structure based on a panel data of publicly listed Islamic banks in 12 countries over the peri-od 2008-2017. Apart from testing standard corporate finance parameters using both OLS and M-Estimators, this study adds several idiosyncratic and regulatory environment related determinants of leverage unique to Islamic banks. The significance of potential determinants is tested for market and book leverage as well as newly introduced ‘Islamic banking leverage’. Overall, the results show that Islamic banks with higher growth opportunities, tangibility, low profitability and low risk are likely to have a high leverage. Similarly, the findings suggest important role played by debt market conditions, share of investment accounts and regulatory environment in such decisions, providing an evidence of the significance of trade-off and pecking order theory in capital structure in Islamic banks. The results are more robust for market and Islamic banking leverage, rather than book leverage. The findings offer insights to regulators, standard setters and especially Islamic banks regarding parameters to strengthen their capital, enhance resilience and thus contribute to the stability of relevant financial. This paper is among the few extant studies that focus on listed Islamic banks and tests de-terminants based on stock market data.

The purpose of this study was to determine the role of the ideal aspects of ownership structure and capital structure in determining the uncertainty model of operational of Walmart. This type of research is an explanatory survey using qualitative and quantitative approaches. The qualitative method is carried out by descriptive analysis by conducting a field survey using a questionnaire designed in such a way. Respondents of this study were the 78 managers of the community minimart in Medan City, North Sumatera, Indonesia who were selected by purposive sampling method. Meanwhile, the quantitative method was carried out using SEM PLS analysis by analyzing the indicators of aspects of ownership structure, capital structure and dimensions of operational success. The results show that the capital structure variable had a significant effect on Walmart's operational success. Meanwhile, the ownership structure variable had no significant effect on Walmart's operational success. The novelty that is produced from this research is that the success of community self-service is determined by the capital structure. Capital is an obstacle faced by community supermarkets because with limited capital it is difficult for community supermarkets to expand their business.

This paper presents an empirical investigation to study the effect of financial flexibility on capital structure decisions on selected firms listed in Tehran Stock Exchange over the period 2006-2018. The results indicate that the cash value of the previous years had no meaningful relationship with the current year's financial leverage, which suggests that flexibility in previous years could not explain the financial leverage of the coming years and financial leverage of companies changes did not occur based on the past years performance. When the ultimate value of financial flexibility is high, the impact of different variables, for example, profits, depreciation, and depreciation costs, fixed assets, etc., on leverage is of little importance, with a slight change in leverage. Companies with a high final value of financial flexibility are willing to maintain their current debt capacities, but it is significantly possible that they target deliberate or temporary deviations from their leverage ratios.

The purpose of this research is to analyze the effects of production and operational costs, capital structure and company growth on profitability. The method used in this research is quantitative method, data collection is performed by distributing questionnaires among employees of packaging industry. The population in this study are industrial employees in Jabodetabek whose numbers have not been identified with certainty. The questionnaire is distributed electronically using a simple random sampling technique. The results of the questionnaire returned are 180 respondents. Based on the results of data analysis, it is concluded that Capital structure has a significant effect on profitability. An increase in the capital structure variable will be followed by an increase in profitability and a decrease in variable capital structure will be followed by a decrease in profitability. Company growth has no significant effect on profitability. An increase in the company growth variable will not be followed by an increase in profitability and a decrease in variable company growth will not be followed by a decrease in profitability. Operational cost has a significant effect on profitability. An increase in the operational cost variable will be followed by an increase in profitability and a decrease in variable operational cost will be followed by a decrease in profitability. Production cost has no significant effect on profitability. An increase in the production cost variable will not be followed by an increase in profitability and a decrease in variable production cost will not be followed by a decrease in profitability.

Based on the financial statements of real estate companies listed on Vietnamese stock market, the study has been conducted on factors affecting capital structure. The paper uses GLS (generalized least squared) estimation method related to panel data as well as testing to select the most appropriate model. Research results show that profitable real estate businesses, the ratio of fixed assets to total assets and the number of years of operation have a negative effect on capital structure. In contrast, renewable energy, size and growth are three factors that have positive effects on capital structure. In addition, the corporate income tax rate does not affect the capital structure decisions of real estate businesses. Through research, recommendations for the real estate business executives have been proposed to build an effective capital structure.

Most of studies imply that firms decrease or increase their debt capacity in context of pecking order theory or agency problems. On this point, the setting of this study is based on two main problems related to capital structure: the first is determining the source of funds for financing investments, and the second is solving the conflict between shareholders and managers, or the agency problem. The objective of this study is to provide evidence about how firms establish their capital structure in relation to pecking order theory and the agency problem by controlling earnings management in the context of Indonesian firms. This study conducts logistic regression on 28 firms in the consumer goods industry listed on the Indonesia Stock Exchange from 2010 to 2017.This study finds that pecking order theory determines the capital structure of most Indonesian firms with high debt. The results imply that agency problems are unable to explain corporate capital structure and earnings management is not effective for motivating Indonesian firms to establish corporate governance.

The current study links the information contents of the three main financial statements in a balanced panel data model to empirically examine the effect of cash flows per share and capital structure on shareholder value. The results of the study are based on a sample of 270 firm-year observations from the Jordanian commercial banks and insurance companies that listed on Amman Stock Exchange (ASE) from 2011 to 2019. Based on the Fixed Effect Model (FEM) with Driscoll-Kraay standard errors, the empirical results show that cash flows from operating activities per share had a positive and significant relationship with shareholder value, whereas both the cash flows from investing and financing activities per share had negative but insignificant relationship with shareholders’ value. Results also show that capital structure had a negative but insignificant relationship with shareholder value. Finally, the results indicate that dividend per share had a positive and significant relationship with shareholder value. Accordingly, decision-makers should direct cash to efficient investment projects in order for cash outflows from investing activities to create value to shareholders and to generate positive cash flows from financing activities. Similarly, an appropriate capital structure should be selected to create value for shareholders.