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The purpose of this study is to investigate the interaction effect of commercial loans in between trade Credit, retain earning, and entrepreneurial small and medium enterprises (SMEs) performance.

In this research, the cross-sectional research design was used, and data were collected from 362 SMEs located in Pakistan by using a questionnaire. Correlation and regression analysis was adopted to establish the interaction effect of commercial loans in between trade credits, retain earning and entrepreneurial SMEs performance.

The results demonstrated that commercial loans, trade credit and retain earning have a positive relationship with entrepreneurial SMEs performance. The findings also confirmed the interaction effect of commercial loans in between retain earnings, trade credit and entrepreneurial SMEs performance.

The study examined the association and interaction effect of commercial loans in between retain earnings, trade credit and SMEs performance in the emerging state (Pakistan). So, this is the first time to study the relationship between these variables, which highly contributes to entrepreneurial SMEs literature.

Based on the agency theory, the purpose of this paper is to theoretically argue and empirically investigate how ownership structure impacts the capital structure of the listed mid‐cap companies in India and whether the capital structure as exogenous variable has a role in determining ownership structure as well.

Simultaneity between capital structure and ownership structure is checked through Hausman specification test on endogeneity. Fixed effect panel regression model is used to analyze five years of data (2005‐2009) on the sample units, to find the relation between leverage and ownership structure after controlling for profitability, risk, tangibility, growth and size.

Empirical results on Indian firms suggest that the ownership structure does impact capital structure but not the vice versa. Consistent with theoretical prediction empirical results reveal that the leverage is positively related to concentrated shareholding and has a negative relation with diffuseness of shareholding after controlling for profitability, risk, tangibility, growth and size. The findings are consistent with “managerial entrenchment hypothesis” and “pecking order theory” of capital structure.

The findings of the paper will enable the practitioners and analysts to understand as to why, in the bank and financial institution‐dominated debt financing system in India, leverage is closely associated with concentrated ownership pattern and why retained earning is a preferred vehicle of financing for the firms with diffused shareholding.

The results of the study enrich the literature on capital structure, agency cost and corporate governance issues in several ways.

Financial bankruptcy is inevitable in the tourism and hospitality ecosystem. Despite the pertinence of tourism and hospitality businesses going into bankruptcy, limited studies have investigated the early warning signs and likelihood of a financial bankruptcy occurring in tourism and hospitality firms. This study examined the predictive value of financial ratios as potential indicators in predicting bankruptcy among tourism and hospitality firms.

Altman's z-score bankruptcy prediction model was applied through five key financial ratios to predict bankruptcy of the Thomas Cook Travel Group over a ten year period (2008–2018).

The key findings of this study strongly suggest that besides the size and location of the firm, financial ratios are reliable predictors and play a pivotal role in predicting the bankruptcy of a tourism and hospitality business.

The paper provides key stakeholders to adopt checks and balances to identify financial distressed tourism firms through financial ratios.

This is the first academic paper to inspect the financial history of Thomas Cook Travel Group in a financial ratio context, particularly following the bankruptcy of the firm in 2019.

The purpose of this paper is to investigate the reciprocal relationship between profitability and capital structure and its impacts on the corporate values of manufacturing companies in Indonesia.

This research is a quantitative research using the general structural component analysis as the analysis tool. This research involved a number of manufacturing companies registered in the Indonesia Stock Exchange in 2008‒2015 period.

Profitability has a negative significant influence on capital structure, indicating that profitability is a determining factor upon the corporate capital structure. This finding also implies that the improvement in profitability in the forms of return on investment, return on equity and net profit margin triggers decrease in the proportion of debt within the capital structures of manufacturing companies registered in BEI or Indonesia Stock Exchange.

Previous research only addressed the one-way correlation between profitability and capital structure, whereas this research measured the two-way correlation and reciprocal relationship at the same time. This research measured the influences of profitability and capital structure on the corporate value, in order to find a consistent finding that has not been yet obtained in previous research. This research also attempted to find out whether the use of the same variables within different time and setting (in Indonesia) leads to different results. The inconsistent findings also motivate the researcher to re-explore the reciprocal influence of corporate profitability on corporate capital structure and its effect toward the corporate value.

The purpose of this paper is to identify a subset of key financial ratios and factors that provide the best discriminating power to distinguish between creditworthy companies (CWCs) and less creditworthy companies (LCWCs) in the USA with the proposed method.

A proposed framework of Bisection Method Based on Tabu Search + Support Vector Machines (BMTS + SVM) is used to select subset of financial ratios from a pool of candidate ratios. The selected ratios and their corresponding financial factors are considered as the key financial ratios and factors that provide the best discriminating power to distinguish between CWCs and LCWCs. The authors collected financial data for the US companies and then identify the key financial ratios and factors which the selected key financial ratios belong.

It is found that the four selected financial ratios from the proposed method and eight financial ratios which are used by Standard & Poor for their credit-rating system can be attributed to the same four financial factors, namely, cash flow factor, profitability factor, solvency factor and leverage factor. This result lends support that the proposed method can be applied to identify key financial factors to differentiate CWCs and LCWCs.

This study provides a tool for managers in financial institutions to gain better understanding about the credit risk of their applicants by focusing on a parsimonious model with fewer ratios in the key financial factors. In addition, companies that attempt to borrow money from financial institutions can also use these key financial ratios and factors as reference to attain clearer vision on what are the most important factors for being considered a creditworthy company and thus develop specific strategies to improve their financial performance.

Based on data analytic techniques, this paper identifies key financial ratios and factors for examining the creditworthiness of US companies with the proposed framework using BMTS + SVM method.

This paper aims to present a comparative evaluation of the determinants affecting the likelihood of dividend payouts by Islamic and conventional banks in the Gulf Cooperation Council (GCC) countries.

The authors used the dynamic panel logit model to test dividend life-cycle theory by analyzing the determinants affecting the likelihood of dividend payouts by GCC banks. Moreover, the authors used multinomial logistic regressions to extend the results where the dependent variable is a nominal variable equal to 1 for non-payment of dividends, 2 for lower dividend payments and 3 for higher dividend payments.

The authors report a finding consistent with the life-cycle theory of dividends where a higher proportion of retained-earnings-to-contribution mix implies a greater likelihood of dividend payments, apart from conventional characteristics such as profitability, size and growth. However, the authors find marked differences in the magnitude and significance of the life-cycle characteristics explaining the likelihood of dividend payouts for Islamic and conventional banks. The authors also find that Islamic banks are smaller and less profitable relative to conventional banks but have higher growth rates, which helps to explain why the proportion of dividend non-payments is higher for Islamic banks than for conventional banks. The results also indicate that the higher default rates and business risk associated with GCC banks reduces their propensity to pay dividends.

The topic of dividends remains an important puzzle in the field of modern finance. The findings have significant implications for a variety of stakeholders in both Islamic and conventional banks in GCC countries, including investors, depositors, analysts, managers, regulators and stock exchanges.

This paper aims to contribute to the literature by drawing on life-cycle theory as a basis for comparing the determinants affecting the likelihood of dividend payouts by Islamic and conventional banks in the GCC countries.

The authors develop a framework to build an early warning mechanism in detecting financial deterioration of Chinese companies. Many studies in the financial distress and bankruptcy prediction literature rarely do they examine the impact of pre-processing financial indicators on the prediction performance. The purpose of this paper is to address this shortcoming.

The proposed framework is evaluated by using both original and discretized data, and a least absolute shrinkage and selection operator (LASSO) selection technique for choosing an appropriate subset of financial ratios for improved predictive performance. The financial ratios are then analyzed by five different data mining techniques. Managerial insights, using data from Chinese companies, are revealed by the methodology employed.

The prediction accuracy increases after we discretized the continuous variables of financial ratios. A better prediction performance can be achieved by including fewer, but relatively more significant variables. Random forest has the highest overall performance following closely by SVM and neural network.

The contribution of this study is fourfold. First, the authors add to the literature on defaults by showing variable discretization to be an essential pre-processing step to improve the prediction performance for classification problems. Second, the authors demonstrate that machine learning approaches can achieve better performance than traditional statistical methods in classification tasks. Third, the authors provide the evidence for the adoption of C5.0 over other methods because rules generated with C5.0 provide managerial insights for managers. Finally, the authors demonstrate the effectiveness of the LASSO technique for identifying the most important financial ratios from each category, enabling one to build better predictive models.

Summarizes previous valuation models based on accounting information, extends the basic model to include dividends and retained earnings, and develops hypotheses on the relationship between share prices, dividends and earnings for firms with different investment opportunity set (IOS) levels. Tests them using 1992‐1998 data on a sample of US multinationals and shows that the share prices of firms with high IOS levels are related to retained earnings and less strongly to dividends; while for low IOS firms dividends are more relevant than earnings.

The purpose of this research is to provide further evidence on the association between the IPO signaling mechanisms (i.e. retained ownership, auditor choice, and earnings forecast) by using a less restrictive sample and by performing additional empirical tests.

Single equations are used as the baseline approach to estimate the three models. In addition, Copley and Douthett's 2002 simultaneous equation systems are applied to examine whether the results remain the same. Moreover, ranked values of the risk proxies of IPOs are derived and general least squares are run on these ranked variables.

Findings indicate that auditor reputation and retained ownership are not substitute signals. It is observed that as firm risk increases, entrepreneurs are more likely to retain higher ownership to signal firm value. In addition, contended that positive earnings disclosure before IPO is not associated with retained ownership in a significant manner. An analysis of the economic implication of the results suggests that findings are more representative.

In this study the risk measures used (as well as those used in other studies) may not adequately proxy for offering firm risk. Additionally, the sample is restricted by missing values of the retained ownership variable. Further study can expand the sample using retained ownership obtained from other data sources. A study employing alternative approaches to control for the supply‐side effect of firm risk could be also productive.

Findings are of particular interest to firms that are planning to go to the public. They need to evaluate the benefit and cost of selecting a particular information system in signaling firm value to the market.

Using a larger sample, comprehensive testing periods, and ranked risk proxies contribute to the literature on evaluating singling mechanisms of IPOs.

The purpose of this paper is to investigate how firms in developing countries finance innovation. Notably, the study seeks to investigate whether innovative firms exhibit financing patterns different from those of non-innovative ones. It also examines the effect of financing sources on firm’s probability to innovate.

The study utilizes firm-level data from the World Bank Enterprise Survey. From 28 African countries, 11,173 firms have been included in the sample. A statistical t-test is used for two independent samples and logistic regression models.

The results show that innovative firms, specifically innovative small- and medium-size firms exhibit financing patterns different from non-innovative peers. Further analysis indicates that there is no statistically significant difference between the financing patterns of innovative and non-innovative large firms. In Africa, innovation is mostly financed using internal sources and bank finance. Equity finance and bank finance have shown a higher effect followed by internal finance, finance from non-bank financial institutions and trade credit finance on firms’ probability to innovate.

The management of innovative firms should reduce dependency on short-term and retained earning financing and increase the use of long-term instruments improve innovation performance.

A pending policy task for African leaders is to design and evaluate reforms to create a strong financial sector that willing to support the innovation process.

This study contributes to the existent literature on finance of innovation by examining how firms finance innovation activities in developing countries. This study provides evidence on how innovative firms exhibit financing patterns different from non-innovative ones from developing countries.