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Islamic banking has undergone significant adaption since its inception. This study aims to investigate why and how Islamic banks adapt their services, using participatory financing as evidence.

A qualitative study is designed, using working capital financing and commodity operations financing in Pakistan as analytical units. The data for each analytical unit is analyzed using a qualitative content analysis, while the findings are synthesized using a cross-case synthesis method.

Findings suggest that participatory financing has undergone extensive adaptation in the Islamic banking industry of Pakistan, in the wake of resolving constraints to participatory financing and increasing its viability. Consequently, participatory finance has emerged as an attractive and viable option in Pakistan. These findings suggest that unlike in the past, where Islamic banks used to buffer themselves from the environment and ignore the market demands, they have learned to respond effectively to the market demands and the challenges posed by the environment.

Findings suggest that the adaptation strategy is more effective than the migration strategy, because it enables the financial service systems to reduce the underlying risks by avoiding emergent threats and eradicating the inherent weaknesses.

The extant literature provides a generalized view on the adaptation process that Islamic banks undergo to comply with their environment. However, it is limited in terms of conceptualizing the adaptations and innovations in their products and the underlying structural variations. The present study fills this gap.

The authors examine the role of CEO political ideology in the credit rating process.

This study adopts a quantitative method with panel data regressions using a sample of 5,211 observations from S&P 500 firms from 2001 to 2012.

The authors find that firms run by Republican-leaning CEOs, who tend to have conservative political ideologies, enjoy more favorable credit ratings than firms run by Democratic-leaning CEOs. In addition, the association between CEO political ideology and credit ratings is more pronounced for firms with high operating uncertainty, low capital intensity, high growth potential, weak corporate governance and low financial reporting quality. Finally, the authors find that CEO political ideology affects a firm's cost of debt incremental to credit ratings, consistent with debt investors incorporating CEO political ideology in their pricing decisions.

Leveraging CEO political ideology, the authors document that credit rating agencies incorporate managerial conservatism in their credit rating decisions. This finding suggests that CEO political ideology serves as a meaningful signal for managerial conservatism.

The study suggests that credit rating agencies incorporate CEO political ideology in their credit rating process. Other capital market participants such as auditors and retail investors can also use CEO political ideology as a proxy for managerial conservatism when evaluating firms.

The paper carries practical implications for practitioners, firm executives and regulators. The results on the association between CEO political ideology and credit ratings suggest that other financial institutions could also incorporate CEO political ideology in their evaluation in their evaluation of firms. For example, when evaluating audit risk and determining audit pricing, auditors may add CEO political ideology as a risk factor. For firms, especially those that have Democratic-leaning CEOs, the authors suggest that they could reduce the unfavorable effect of CEO political ideology on credit ratings by improving their corporate governance and financial reporting quality, as demonstrated in the cross-sectional analyses. Finally, this study shows that CEO political ideology, as measured by CEOs' political contributions, is closely related to a firm's credit ratings. This finding may inform regulators that greater transparency for CEOs' political contributions is needed as information on contributions could help capital market participants perform risk analyses for firms.

Credit rating agencies release their research methodologies for determining corporate credit ratings and identify managerial conservatism as an important factor that affects their risk assessments. The extant literature, however, has not empirically investigated the relation between credit ratings and managerial conservatism, which, according to behavioral consistency theory, can be proxied by CEO political ideology. This study provides novel empirical evidence that identifies CEO political ideology as an important input factor in the credit rating process.

In comparison to other countries, power generation in Sub-Saharan Africa is poor. The demand for power has surged in recent times and continues to increase at a fast rate. The public–private partnership (PPP) model has been identified as an option to address the challenges in the power sector. The purpose of this research paper is to critically explore the reasons for entering into PPP power projects in Ghana by the public and private parties.

Questionnaires were used to elicit responses from respondents using a two-round Delphi survey. From 60 respondents contacted in round one, 48 responses were obtained, and these 48 respondents further took part in round two. Mean score ranking was used to rank the reasons for entering into PPP power projects, while analysis of variance (ANOVA) was run to test significant difference in perceptions among the respondents.

From round 2 of the Delphi survey, the significant reasons for public sector entering into PPP power projects were as follows: achieving improved value for money, access to additional capital, increased certainty of projects and greater efficiency of project delivery services. For private sector, most significant reasons were as follows: obtaining of investment support, improvement in private sector’s international image and synergy with public sector. From ANOVA analysis, there were significant different perceptions among some of factors on the respondent profile variables and the reasons for entering into PPP power projects, while other factors did not have significant different perception.

Significant reasons for both public and private sectors identified would be incorporated by the government when PPP policy guidelines and laws are reviewed. This will aid in the effective implementation of PPP for power projects.

The paper examines contingent liabilities' effect on the firm's dividend decisions.

Fixed-effects regression and logit model results estimate the influence of contingent liabilities on firms' dividend decisions using a sample of 2,288 firm-year observations of S&P 500 firms from 2012 until 2022. Robustness checks and results from the 2SLS model further support the authors’ findings.

The results show that contingent liabilities negatively affect dividend payment decisions. This analysis further demonstrates that the stated effect of contingent liabilities on dividend decisions is more substantial for firms with financing deficits and those with above-industry-average corporate governance scores.

There needs to be more systematic conceptual reason for measuring uncertainty for firms and its influence on dividend decisions. Future research should use other measures of firm uncertainty to examine the relation of the firm's uncertainty with dividend decisions.

The authors suggest that contingent liabilities create uncertainty for future cash flows, influence a firm's agency costs and provide credible signals on a firm's prospects to the market. The findings support existing literature that measurable firm-specific variables significantly influence a firm's dividend decisions. The results are robust for an alternative explanation.

By investigating the impact of the influence of contingent liabilities on dividends, the authors extend research on dividend decisions and attempt to provide insights into a firm's dividend decisions by incorporating an off-the-balance sheet item (contingent liabilities) as a significant predictor for dividend decisions.

This study aims to explore the prospects of istijrar financing in the Islamic banking of Bangladesh. Istijrar is a supply sale contract that facilitates recurrent transactions under a master agreement without needing a deal-to-deal agreement. Murabahah financing in Bangladesh is being criticized for Shari’ah violations, which can be minimized if istijrar financing is integrated and applied.

The study uses a qualitative approach, primarily using a semistructured interview method to collect the primary data. The study conducted 13 one-to-one interviews with leading Islamic banking experts in the country, including Shari’ah scholars, Islamic bankers and regulators. Besides, the study consults with classical and contemporary fiqhi sources to realize the status of istijrar sale in Islamic law. Thematic analysis is performed to explore the qualitative data.

The study finds that istijrar financing has great prospects in the Islamic banking of Bangladesh. Istijrar is applicable in consumer financing and can be offered as an alternative or supplement to murabahah. Also, postimport murabahah financing can be structured with istijrar, while it can also be used in export financing. Besides, a few challenges should be dealt with before offering istijrar, such as proper structure, lack of literacy, stakeholders’ awareness, Shari’ah and regulatory approval and alignment with the law of the land.

Murabahah financing is dominant on the asset side of Islamic banks’ balance sheets in Bangladesh. Murabahah practice in Bangladesh is frequently criticized for some possible Shari’ah violations. Also, more documents are needed for each murabahah operation, which eventually accelerates the costs. Applying istijrar would minimize these issues as it does not require a new contract for each deal. Multiple supplies can be done under a single agreement. Besides, istijrar reduces documentation hassle and transaction costs. Istijrar would be an easy practice and benefit the bank and its clients.

This study contributes to the body of knowledge and the Islamic banking industry. The existing studies have not adequately addressed the potential of istijrar in Islamic banking. In addition, this study will be an eye-opener for Islamic bankers to develop new products with istijrar.

The study examines how the liquid assets holdings among non-financial Indian firms vary due to tightening monetary policy and increasing macroeconomic uncertainty.

The authors analyze 5,640 firms for the period 2011–2021. The authors first estimate India’s monetary policy shocks by decomposing the exogenous shocks from the systematic component of monetary policy changes. The authors then examine the effects of the estimated monetary policy shocks and a range of macroeconomic and policy uncertainty indicators on companies’ cash and bank balances to asset ratios using two-step system generalized method of moments (GMM) estimators.

The authors find that monetary policy shocks cause the cross-sectional variances for the firms’ liquidity holdings to increase. In anticipation of macroeconomic volatility, companies respond to these shocks after taking into account all the firm-level information to minimize the opportunity costs of holding extra cash or too few cash balances that can hamper firms’ operations. Furthermore, compared to other shocks, the contribution of inflation-induced shocks is predicted to be the largest in the cross-sectional deviation of the firm’s cash holdings. The authors also find that low-growth, older and financially constrained firms observe lesser heterogeneity in their cash holdings as they tend to hold cash as a precautionary buffer.

The authors’ approach to the analysis is unique in many ways. To address potential transmission bias, the authors use nowcasts and forecasts of real gross domestic product (GDP) growth and inflation to generate a series of exogenous monetary policy shocks for identifying unanticipated changes in short-term interest rates. Subsequently, the authors estimate how these shocks affect the cross-sectional deviation of liquid assets. For estimating the effects of macroeconomic uncertainty on corporate cash demand, the authors utilize a range of proxies for uncertainty. Unlike previous attempts, the authors offer evidence for a developing and fast-emerging economy.

The purpose of this study is to construct and test a new measure of auditor orientation using two audit quality-related tasks.

The sample consists of 66 Dutch and US graduate auditing students. Participants complete two tasks: one involving a lease classification and another, supplemental experiment involving a contingent liability judgment. The purpose is to construct a new measure for rules-based/ principles-based orientation. Rigorous, psychometric testing confirms that parts of tolerance for ambiguity (TOA) and need for cognition (NFC), together, form a new construct the authors identify as auditor orientation. The authors next conduct a main and supplemental experiment with novice auditor participants from both the USA and the Netherlands.

The authors begin with rigorous, psychometric testing using participants from the USA and the Netherlands. The resulting 10-item scale combines parts of TOA and NFC to reflect auditor orientation. The common themes across scale items are high (low) adaptability to complexity and a substance-over-form (form-over-substance) preference for principles-oriented (PO) (rules-oriented [RO]) auditors. Conducting two experiments, results from two distinct tasks confirm our research question; novice auditors classified as RO (PO) are more (less) likely to recommend a more aggressive/client-favorable disclosure judgment.

Auditor orientation (i.e. rules or principles) has a significant impact on the application of rules-based or principles-based standards. How the standards are applied, therefore, influences auditor decision-making and thus audit quality. However, there is a paucity of auditor orientation research to date, including a validated measure. The study contributes a new measure for future research in the related accounting standards and audit quality literatures, while also identifying a potentially important construct in auditor training.

Interest rate derivatives (IRDs) are the essential components of financial risk management and are used across various industry sectors. The objective is to analyze the differences in approach to managing interest rate risks between the Indian corporates that execute IRDs and the ones that do not.

Interest rate fluctuations require Indian corporates to hedge their exposures in foreign currency interest rates. This is all the more true for mid-sized corporates because of their balance sheet exposures. Additionally, they may not have the resources to formulate risk management policies. This paper analyzes data collected from financial statements of a diverse set of companies that use IRD and helps in formulating such a strategy.

The results indicate significant differences for some of the parameters like information asymmetry and agency cost between users and non-users of IRDs. The study further suggests causality between users of derivatives and parameters like size, growth and debt.

The study compares users and non-users of IRDs, thereby identifying factors unique to users of IRDs. It also studies causality relations which explain the motivation to do IRDs. Thus, it enables risk managers to use this as a reference point to decide on their strategies.

While there are multiple studies across geographies and sectors including commercial banks in India on the usage of interest rate swaps, this study focuses on Indian mid-tier corporates. Furthermore, the study distinguishes between users and non-users based on financial parameters, which in turn would provide a framework for decision-hedging strategies.

This paper examines the impact of sharia-compliant debt financing on stock price crash risk. Unlike those previous studies that took Sukuk or sharia-compliant firms, this study tests the impact of the proportion reported sharia-compliant debt financing in the balance sheet on the risk of price crash of a firm.

Using the data from 2,752 firm-year observations of 344 Malaysian non-financial listed companies from 2012 to 2019, this article used a robust panel data estimation technique for statistical inferences. This study also employs panel GMM and quantile least squares as the robustness check.

This study established a negative relationship between sharia-compliant debt financing and stock price crash risk. The robustness checks with different estimation techniques confirm the results. It implies that firms with a more significant proportion of Sharia-compliant financing tend to have lower future stock price crash risk.

Consistent with the Islamic finance literature, the present study contributes to the existing literature on Islamic capital markets from the perspective of stock price crash risk because it is vital for risk management and investment decision-making as a measure of tail risk for stocks. The findings of this research will assist investors in developing portfolio strategies that incorporate firms with higher levels of sharia-compliant debt financing in their balance sheets. Additionally, the results of this study suggest that policymakers and regulatory bodies should consider revising their monitoring approaches for publicly listed firms.

This study is interesting and unique, as it is a pioneer in testing the impact of sharia-compliant debt financing on reducing stock price crash risk.

This study aims to analyse the systemic risk emitted by all publicly listed commercial banks in a key emerging economy, India.

The study makes use of the Tobias and Brunnermeier (2016) estimator to quantify the systemic risk (ΔCoVaR) that banks contribute to the system. The methodology addresses a classification problem based on the probability that a particular bank will emit high systemic risk or moderate systemic risk. The study applies machine learning models such as logistic regression, random forest (RF), neural networks and gradient boosting machine (GBM) and addresses the issue of imbalanced data sets to investigate bank’s balance sheet features and bank’s stock features which may potentially determine the factors of systemic risk emission.

The study reports that across various performance matrices, the authors find that two specifications are preferred: RF and GBM. The study identifies lag of the estimator of systemic risk, stock beta, stock volatility and return on equity as important features to explain emission of systemic risk.

The findings will help banks and regulators with the key features that can be used to formulate the policy decisions.

This study contributes to the existing literature by suggesting classification algorithms that can be used to model the probability of systemic risk emission in a classification problem setting. Further, the study identifies the features responsible for the likelihood of systemic risk.