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This paper aims to investigate the importance of profitability and bank soundness as determinants of cash holdings by Islamic Rural Bank (IRB) in Indonesia.

The study covers 134 IRB during 2012–2016. The authors apply pooled regression and panel data method. The best model is used for further analysis.

The maximum cash holding is 22.21%, meaning the bank retains 22.21% of its liabilities in the cash vault. Cash holding is positively related to higher credit risk (LLR), soundness and profitability (ROA) and negatively to asset composition (PATA) and size (LASSET) for Model I. Soundness, asset composition (PATA), higher credit risk (LLR) and profitability (ROA) are negatively related to size. Larger IRB hold less cash as it has a better reputation in the market. The intermediation level (financing deposit ratio) is positive and significant for Model 1 but negative and not significant for Model 2. Different measures of liquidity ratio – cash to liabilities (CR) or cash to capital ratio (CCR) – produce different results. Evidence from multivariate analysis reports that the results from both models are mostly in the opposite direction.

To the best of the authors’ knowledge, this paper is the first attempt to look at cash holding in the IRB in Indonesia.

The paper aims to investigate the dynamic relationship between working capital management and firm profitability for a sample of firms from eight European Union (EU) countries for the period 2006–2015.

The panel regression model is used in the study. Firm profitability is measured using the return on assets (ROA) ratio, whilst cash conversation cycle, financial leverage, size, tangibility and cash flow ratio are used as independent variables. The novelty of this study is the use of cash flow ratio to develop the analysis firms by dividing them as healthy and nonhealthy.

The paper reveals that working capital management affects firm profitability, and a positive relationship exists between them. The paper shows differences of working capital management and firm profitability across countries. The striking result of this study is that an inverted U-shape relationship exists between working capital management and firm profitability. Whereas the findings suggest that firms should be as close as possible to the optimal length of cash cycle to increase profitability, and managers should give a priority to working capital optimization.

The authors consider results of this study relevant to both researchers and business policymakers in the field of working capital management policies.

Does societal trust influence short-term financial management? Recent papers uncover the importance of societal trust for financial management in specific countries and large firms. Our paper aims to provide a comprehensive analysis of the impact of societal trust on short-term financial policies of SMEs, namely working capital management and cash holdings.

We rely on a sample of 14,711 privately owned medium-sized manufacturing firms from 26 European countries with a sample period between 2014 and 2020. For estimation, we use pooled OLS and hierarchical linear models and control for several firm-specific and country-specific known determinants of short-term financial management. Moreover, our results are robust to the specific measurement of trust, financial constraints, and corruption.

We show a positive relationship between trust and working capital requirements investment and a negative relationship between trust and the level of cash holdings. Moreover, we show that trust attenuates the negative impact of being a financially constrained firm and the positive impact of national perceptions of corruption. Finally, in higher trustworthy environments, firms operate with relatively higher inventories and relatively lower trade credit granted and obtained.

Results suggest that policies supporting societal trust may also foster business development and that when dealing with clients or suppliers from different trustworthy environments, firms may have to adapt their business models to incorporate trust differences between business environments.

Firstly, the comprehensive analysis of the impact of trust on working capital management and cash holdings while controlling for different firm-level and country-level known determinants of short-term financial management. Secondly, it addresses a European sample of unquoted, medium-sized firms. Thirdly, it studies the combined effect of trust and financial constraints and trust and corruption.

In public firms, the largest shareholder can make decisions on cash dividends in favor of its own interests at the expense of other investors. While the second largest shareholder can actively participate in corporate governance and protect the interests of investors, its impact has not been fully understood. This research investigates how shareholding ratio and ownership type of the second largest shareholder moderate the relationship between controlling shareholder's shareholding ratio and cash dividends.

The authors conducted econometrics analysis based on a panel data of China's A-share listed companies from 2007 to 2017.

The authors find that the controlling shareholder's shareholding ratio has a significant negative impact on cash dividends. However, this influence is conditional on the shareholding ratio of the second largest shareholder. The negative impact is weakened when the second largest shareholder holds a large proportion of shares or when the shareholding gap between the second largest and the controlling shareholder is small.

This research extends the existing literature by highlighting the nuanced moderating effect of the second largest shareholder on the relationship between the controlling shareholder and cash dividends, thus making a unique contribution to the understanding of corporate governances in the emerging financial market in China.

The purpose of this paper is to explore the industry-specific preferred valuation model utilised by analysts’ in determining a stock’s target price. By understanding analysts’ use of industry-specific valuation models, we can enhance our comprehension of important aspects of value creation in these sectors. Therefore, understanding the industry context is crucial for accurately assessing the value of companies within that industry and selecting the most suitable valuation model.

The method employed in this study is content analysis, examining the output of analysts’ valuation models within 25 Global Industry Classification Standard (GICS) industry groups. I hand-collected 806 equity reports from Capital IQ, selecting the four companies with the largest market capitalization from each of the 25 industry groups.

Price/Earnings (P/E) emerges as the preferred valuation model in 20 out of the 25 industry groups based on the GICS, with some exceptions. Notably, EV/EBITDA is favoured in the telecom, energy and materials sectors, while the capital goods industry primarily relies on Price/Cash flow (P/CF). In the Real Estate Investment Trusts (REITs) sector, P/AFFO (adjusted funds from operations) is the most commonly employed model. While earnings multiples remain the favoured valuation model for financial analysts, a noticeable shift away from multiperiod valuation models is evident after the first decade of the 21st century.

The findings can increase our comprehension of the interplay between valuation methodologies, industry characteristics and investment decision-making.

It establishes a foundation for future research in this field and is anticipated to be of interest to analysts, fund managers and investors. The findings can increase our comprehension of the interplay between valuation methodologies, industry characteristics and investment decision-making.

This paper represents the first systematic and comprehensive examination of analysts’ utilisation of industry-specific stock valuation methods across all 25 GICS industry groups.

This article analyzes the moderating role of investment opportunities, business risk and agency costs in shaping the nexus between excess cash and corporate performance.

This research uses dynamic regression models (two-step system generalized method of moments) to analyze the data related to 200 Turkish companies listed on Borsa Istanbul (BIST) for the years between 2009 and 2020.

The findings indicate that when excess cash increases, the financial performance deteriorates only for firms with lower investments compared to firms with more investments. In addition, investment contributes to better financial performance for firms that hold cash surplus, whereas the influence of investment is insignificant for firms that have insufficient cash. Agency costs of equity exacerbate the adverse impact of excess cash on financial performance while agency costs of debt mitigate this effect. Excess cash reduces the financial performance of highly leveraged firms. However, this impact becomes insignificant when debt ratio decreases. The findings also show that investment has more significant role than business risk in building the precautionary motive to hold cash.

The findings of this article are limited to the Turkish market. Future research is still needed in other emerging markets to compare the results and reveal more about the effect of excess cash on firm performance, and how other factors can change this effect.

The findings verify the increased significance of excess cash in the presence of investment opportunities and difficulties in accessing external funds. Nevertheless, the role of the equity related agency problem in reducing the benefits of cash surplus confirms the necessity of policies that support corporate governance, especially in emerging markets.

This article, according to the knowledge of author, is the first to examine the role of agency costs associated with debt and equity, and the compound effect of investment opportunities and business risk on the nexus between excess internal funds and corporate financial performance in emerging markets.

The objective of this paper is to investigate the effect of working capital efficiency (WCE) and its components on the composite financial performance of a sample of Indian firms.

Our sample includes 796 non-financial listed firms from 2015–16 to 2021–22. Sample firms’ profitability, liquidity, solvency, cash flow management, and financial and operational leverage have been used to classify them into companies with high composite financial performance (HCFP) and with low composite financial performance (LCFP) by using K-Means Clustering technique. A composite financial performance score (CFPS) of 1 has been assigned to HCFP and 0 to LCFP. We have used logistic regression models with fixed effect to estimate the effect of cash conversion cycle (CCC) and its components, i.e. inventory days, accounts receivable days and accounts payable days on CFPS in the presence of control variables such as growth, leverage, firm size, and age.

The study finds that CCC and inventory days are inversely associated with CFPS. This finding shows that the firms’ WCE leads to superior financial performance on a composite basis.

The research findings are based on samples drawn from the population of the listed Indian non-financial companies. Since the operation, financial practices, working capital policies, and management styles of firms vary greatly among nations, the results of this study should be extended to firms in other countries after taking into account the degree of resemblance to the sample firms.

The findings of this study hold significant value for industry practitioners, as they provide guidance in determining the optimal allocation of funds for working capital and devising strategies for effectively managing inventory levels, credit sales, and vendor payments in order to increase the overall value of the company. This study aims to help investors in building their investment portfolios by identifying companies with superior composite financial performance. Investors can enhance the construction of their investment portfolios by strategically selecting companies that demonstrate superior overall performance.

The results of our study will help companies improve their WCM strategies to enhance their overall value, and their significance increases manifold during economic downturns. Business firms that perform well by efficiently managing their working capital have a multiplier effect on the economy and society at large in the form of GDP contribution, labor income, taxes to the government, investment in capital assets, and payments to suppliers.

To understand the impact of WCE on firms’ performance, the extant working capital literature focuses on some specific characteristics such as profitability, valuation, solvency, and liquidity. The limitation of employing a single parameter is its inability to present the comprehensive performance evaluation of firms. This study is among the earliest studies that focus on the holistic evaluation of WCE's impact on the composite performance of a company.

This study investigates the relationship between working capital investment (WCI) and firm value for Indian manufacturing firms using excess net working capital (NWC) and Tobin's Q as a measure of WCI and firm value, respectively. The study also examines whether firms use the cash released from excess investment in working capital to make long-term investments.

The sample comprises 834 Bombay Stock Exchange (BSE) listed Indian manufacturing firms whose data from April 2010 to March 2020 are analyzed using a fixed-effect panel regression analysis approach.

The empirical results show that excess NWC influences firm value negatively and significantly. However, the nature of the relationship becomes nonlinear upon dividing the sample into positive excess NWC and negative excess NWC. The findings from the study also reveal that firms redistribute cash freed from positive excess NWC for long-term investments to improve their value without impacting the corresponding risk.

Overall, the results suggest that firms with positive excess NWC can enhance their valuations by building adequate long-term investments from surplus WCI funds.

To the authors’ best knowledge, studies on this issue have primarily focused on developed economies. No study seems to have been done on this subject in the emerging South Asian economies. The present study is the first to bridge the research gap by investigating the relationship between excess WCI and firm value for manufacturing firms in India. Moreover, it examines whether a positive excess NWC reduction translates into corporate investments (CI).

We expand the recent literature on the dynamics of capital structure decisions by investigating the impact of national culture on firms' optimal debt ratios and their dynamic re-adjustment process. To this end, we aim at estimating firm-specific speeds of leverage adjustment, allowing for heterogeneous dynamics in firms' capital structure.

We use dynamic panel data estimators to analyze the impact of cultural factors on the dynamics of debt ratios.

We show that national culture affects the optimal level of leverage and the dynamic rebalancing of debt ratios, both directly and indirectly, by altering the effect of firm characteristics and macroeconomic factors on firms' financing behavior. Firms converge faster towards the optimal leverage in countries with a stronger attitude to conform with the norm, while they are slower where there is a higher propensity to intellectual autonomy. A higher risk aversion and long-run propensity induce over-levered firms to reduce leverage faster, making the adjustment process strongly asymmetric. Moreover, national culture also produces indirect effects by mitigating the impact of asymmetric information on capital structure decisions. Indeed, firms in more individualistic countries display a lower speed of adjustment and a stronger effect of firm characteristics associated with higher agency costs. On the contrary, firms in countries with a higher tendency to conform to social norms, less individualistic and more long-term oriented have a higher adjustment speed and appear to suffer less from agency issues. Our results therefore highlight how national culture affects agency problems within firms, thus suggesting the adoption of country-specific corporate governance provisions accounting for the effects of local cultural traits on managers' behavior.

We expand the capital structure and governance literature by showing how cultural traits impact on the dynamics of debt ratios. In particular, we show how cultural traits may mitigate or exacerbate the role of agency issues on firms' behavior, hence suggesting that cultural factors may interact with governance rules in shaping firms' decisions. Therefore, our work highlights how policy-makers should include cultural aspects when defining regulation concerning corporate governance.

The purpose of this paper is to examine the factors affecting the dividend policy of knowledge intensive firms (KIFs).

The study collects data for 86 KIFs listed on the National Stock Exchange (NSE) of India. The Hausman test is applied to choose an appropriate model. Based on the results of the Hausman test, the random effects panel regression method is applied to investigate the determinants of the dividend policy of sampled firms.

The authors test the effects of six factors on the dividend policy of KIFs, namely, profitability, leverage, free cash flows, firm size, investment and growth opportunities and liquidity. The study found that profitability, free cash flows, liquidity and firm size are significant determinants of the dividend policy of KIFs, while growth and investment opportunities as well as leverage have insignificant effects on the dividend policy of KIFs.

Findings of previous studies on factors affecting dividend policy across various industries cannot be generalized to other industries because of the industry influence on dividend policy. Considering this industry effect on dividends, the present research investigates the dividend policy of KIFs. The KIFs have emerged relatively recently owing to technological advances and remain relatively less explored industry in the context of dividends. Therefore, the paper presents new evidence on the dividend policy of Indian KIFs.