Search results

This paper aims to examine the informational value of credit rating changes for investors. The article analyses whether credit rating changes indicate the future financial performance of a firm.

The study employs pooled time-series cross-section regression technique and two-sample t-test for analysis. The paper utilizes a firm's operating profit as a proxy of its future financial performance to understand what inference can be drawn about future financial performance from a change in a firm's credit rating.

The paper finds that a firm operating profit declines in the year after a credit rating downgrade. However, no such significant relationship is evident in the case of a rating upgrade. The results are consistent across rating categories and individual years of the sample period.

The study uses non-financial corporate rating data; hence, the findings may not apply to credit rating changes in financial corporates and structured finance.

Investors and analysts can incorporate credit rating downgrade by CRAs as a key input in a firm's future financial forecast. Analysts and investment managers can also look at credit rating changes of firms in the same industry and draw a definite conclusion about which firm is likely to see a higher deterioration in performance.

The author has not come across any literature that directly investigates credit rating changes from the perspective of information content about future financial performance.

The novel coronavirus (COVID-19) has caused financial stress and limited their lending agility, resulting in more non-performing loans (NPLs) and lower performance during the II wave of the coronavirus crisis. Therefore, it is essential to identify the risky factors influencing the financial performance of Indian banks spanning 2018–2022.

Our sample consists of a balanced panel dataset of 75 scheduled commercial banks from three different ownership groups, including public, private and foreign banks, that were actively engaged in their operations during 2018–2022. Factor identification is performed via a fixed-effects model (FEM) that solves the issue of heterogeneity across different with banks over time. Additionally, to ensure the robustness of our findings, we also identify the risky drivers of the financial performance of Indian banks using an alternative measure, the pooled ordinary least squares (OLS) model.

Empirical evidence indicates that default risk, solvency risk and COVAR reduce financial performance in India. However, high liquidity, Z-score and the COVID-19 crisis enhance the financial performance of Indian banks. Unsystematic risk and systemic risk factors play an important role in determining the prognosis of COVID-19. The study supports the “bad-management,” “moral hazard” and “tail risk spillover of a single bank to the system” hypotheses. Public sector banks (PSBs) have considerable potential to achieve financial performance while controlling unsystematic risk and exogenous shocks relative to their peer group. Finally, robustness check estimates confirm the coefficients of the main model.

This study contributes to the knowledge in the banking literature by identifying risk factors that may affect financial performance during a crisis nexus and providing information about preventive measures. These insights are valuable to bankers, academics, managers and regulators for policy formulation. The findings of this paper provide important insights by considering all the risk factors that may be responsible for reducing the probability of financial performance in the banking system of an emerging market economy.

The empirical analysis has been done with a fresh perspective to consider unsystematic risk, systemic risk and exogenous risk (COVID-19) with the financial performance of Indian banks. Furthermore, none of the existing banking literature explicitly explores the drivers of the I and II waves of COVID-19 while considering COVID-19 as a dependent variable. Therefore, the aim of the present study is to make efforts in this direction.

This study examines the impact of agricultural credit on rice farmers' technical efficiency (TE) in Côte d'Ivoire by considering the heterogeneity among credit sources.

A multistage sampling technique was used to collect data from 588 randomly sampled rice farmers in seven rice areas of the country. The authors use the endogenous stochastic frontier production (ESFP) model to account for the endogeneity of access to agricultural credit.

On the one hand, agricultural credit has a significant and positive impact on rice farmers' TE. Rice farmers receiving agricultural credit have an average of 5% increase in their TE, confirming the positive impact of agricultural credit on TE. On the other hand, the study provides evidence that the impact of credit on rice production efficiency differs depending on the source of credit. Borrowing from agricultural cooperatives and paddy rice buyers/processors positively and significantly influences the TE, while borrowing from microfinance institutions (MFIs) negatively and significantly influences the TE. Moreover, borrowing from relatives/friends does not significantly influence TE.

Future research can further explore the contribution of agricultural credit by including several agricultural productions and using panel data.

The study provides evidence that the impact of agricultural credit on agricultural production efficiency depends on the source of credit. This study contributes to the literature on the impact of agricultural credit and enlightens policymakers in the design of agricultural credit models in developing countries, particularly Côte d'Ivoire.

The purpose is to assess the usefulness of creative vouchers, a specific kind of technology and innovation vouchers (small grants usually given to SMEs to acquire external knowledge) where the knowledge suppliers are creative firms such as design agencies.

A multiple case analysis of four EU-funded pilot voucher schemes was carried out through project reports and semi-structured interviews with relevant stakeholders.

The authors show that creative vouchers are effective policy instruments despite the limited amount of money involved because they trigger new innovation trajectories often in a serendipitous way. The authors also show that the quality of projects and satisfaction of the beneficiaries increase when both proposals and suppliers are screened.

The authors’ conclusions are based on four pilot projects in a specific region of the world (Western Europe). Though two of them were extended to a much bigger scale, their generalizability may be limited. Moreover, the limited number of cases does not permit an analytical evaluation of all the voucher schemes mechanisms.

The findings of this paper can be very useful to policymakers designing voucher schemes and to the companies involved, whether they are providers or beneficiaries. In particular, the voucher allocation mechanisms may have a strong impact on the success of the program.

The innovation spurred by the collaboration with creative firms is generally neither energy-intensive nor capital intensive, but brain intensive, and this is the best way to leverage on the talent of local creative and make companies create value based on immaterial resources.

To the authors’ knowledge, this is the first study of creative vouchers after Bakhsi et al., 2015, and the only one involving several schemes in different countries. It shows the innovation potential of such a little known policy instrument for SMEs. Moreover, it provides insight on how to design a voucher scheme in order to improve its effectiveness.

This study aims to propose a model to elevate the financial empowerment of Muslim women by rejuvenating the practice of Mahr in society and facilitating the affordability of men to pay that Mahr amount.

The approach of this study is to offer a model through the interest-free savings-based finance concept. The model comprises four stages; each stage of the model is mathematically formulated and graphically explained to ensure clarity and coherence. To further investigate the issue, the authors use a convenient sampling method to ask a small sample size of respondents (women) from different countries about their financial contribution and empowerment in the family.

This model enables women to turn their exclusive financial right into a source of earning without borrowing from any source or paying interest on the principal amount. Besides, it encourages accelerating men’s obligation to pay the Mahr to the women immediately during the marriage ceremony by facilitating men’s affordability. Almost 45% of respondents state that a woman’s financial contribution exalts her decision-making power and strengthens her financial position in the family.

The authors attempt to revitalize Mahr practice in Muslim society to accelerate the process of receiving a woman’s exclusive financial right and empower a family as a whole through the Mahr model.

Considering the model’s uniqueness, the developed and proposed Mahr model in this research is novel; to the best of the authors’ knowledge, no other study has been conducted and developed such a model using the Mahr concept.

Financing remains a serious concern for firms and is considered the main hurdle in the growth and development of small and medium enterprises (SMEs). Recently, a new stream of financing (SCF; supply chain finance) has emerged to meet the financing issues of SMEs. Therefore, measuring SCF is essential to support SMEs’ operations. This study aims to develop and validate the SCF scale based on extant literature.

Using a mixed-method approach, this study recruited different samples of SME entrepreneurs to confirm the internal consistency, assess construct validity and check the item structure of the SCF scale in AMOS.

The outcomes of confirmatory factor analysis demonstrated the six factors of SCF (inventory financing, working capital optimization, reverse financing, fixed assets financing, logistics financing and order cycle financing) spread over 21 items. An interitem solid structure of the SCF scale offers invaluable contributions to the supply chain management literature.

This research supports SME entrepreneurs to obtain secure financing at the best cost, mitigating the risk of default, supporting the buyers’ payment terms, providing early payment to suppliers and strengthening the firm’s value chains. SMEs can obtain financing per their requirements to support their operational business processes. Moreover, SMEs can plan, manage and control finance-related transactional activities by correctly identifying financing solutions.

The present study contributes to SCM literature by developing and validating the SCF scale. To the best of the author’s knowledge, this is the first study that redefined SCF and identified its six dimensions.

This paper aims to examine the influence of financial inclusion (FI) on poverty, income inequality and financial stability from the perspective of public good (PG) theory in developing countries.

This study applies the fixed effects model (FEM), pooled ordinary least square (OLS) regression and generalized method of moment (GMM) across panal data of 69 developing countries from 2002 to 2020 inclusive.

Multiple regression analyses show that FI reduces poverty and income inequality while improving financial stability. Secondary enrolment ratio, GDP per capita, and trade openness reduce poverty and income inequality. However, a higher inflation rate increases poverty and income inequality while reducing financial stability. Finally, age dependency ratio and population do not affect poverty, income inequality or financial stability.

The regulators and policymakers in developing countries should raise the level of formal FI by expanding the size of the formal financial sector and improving the access of the large unbanked population to financial products/services. Improving FI enables the unbanked population to take over productive activities and ease consumption, which in turn complementing economic growth.

The increase in FI enables the developing countries to include the financially excluded population through formal financial products and services, which improve financial stability and eradicate poverty and income inequality in society. Thus, the FI enhances the social welfare of society.

This is the first study that examines the impact of FI poverty, income inequality and financial stability in the context of developing countries. This study contributes to the theoretical implications of the PG theory by examining the influence of FI on poverty, income inequality and financial stability in the context of developing countries.

This paper aims to review the literature extensively by analysing recent work and providing a guide for models, data sets and research findings.

This paper reviews the literature extensively by analysing recent work and providing a guide for models, data sets and research findings within the context of capital market imperfections. The authors further break down the literature into closer-in-nature categories for reader’s convenience and comprehension. Finally, the authors address gaps in the existing literature and propose government policies that can tone down the potential effect of credit rationing on employment.

This paper provides a map of the literature so as to help future researchers in the relevant literature and give a short insight of what has been explored so far.

This paper is original and is the result of a thorough review of an extensive literature.

This study aims to develop a theoretical model that uses the decision-making theory in a financial intermediation setting to provide insights into the differences between the outcomes of the decision-making process for a bank and for a peer-to-peer (p2p) lending platform to explain the role of p2p lending versus bank lending in the credit market.

This study develops a novel approach to explaining the differences between p2p lending and bank lending by using the decision-making theory. In particular, it analyzes the likelihood of a risky borrower being able to obtain a loan from a p2p lending platform versus the likelihood of being able to obtain a loan from a bank. The results contribute a theoretical understanding of factors that can determine the role of p2p lending platforms versus that of banks in the credit market, with implications for recovery from an economic crisis.

p2p lending platforms have the potential for contributing to economic recovery when they are subject to less regulations and are able to offer a faster and less costly lending process than do banks and when they are used by a large number of lenders. However, the potential role of p2p lending platforms in recovery might be reduced when banks have access to anticyclical measures that reduce banks’ capital requirements or provide them with low-cost funds.

This study provides a novel approach to explaining the differences between p2p lending and bank lending by using the decision-making theory. The results contribute a theoretical understanding of factors that can determine the role of p2p lending platforms versus that of banks in the credit market.

The purpose of this study is to extend previous literature and examine risk management efficiency among Takaful (TI) and conventional insurance (CI) firms in the Kingdom of Saudi Arabia (KSA) and the United Arab Emirates (UAE). This study also aims to determine whether Takaful firms are more efficient in managing risks, compared to CI firms.

This study examines risk management efficiency among Takaful and CI firms in the KSA and the UAE for a sample of 20 insurance firms comprising 10 TI firms and 10 CI firms for the period 2018–2020. The authors use Data Envelopment Analysis to estimate efficiency scores among insurance companies to compare risk management efficiency between CI and TI companies and apply two-way analysis of variance to statistically analyze the data.

The results of this study show that TI firms have a higher efficiency score than CI firms, but not significantly and that insurance firms in KSA have higher efficiency scores than insurance firms in UAE. The results also reveal that TI firms did not significantly outperform CI firms in managing risks; however, there is a significant difference in efficiency scores among insurance firms in KSA and UAE.

The authors also contribute to the literature by providing important insights into how the operational business environment of the country can influence the risk management efficiency of CI and TI companies.

This study promotes understanding the insurance industry, its efficiency and risk management, thus offering key implications for decision-makers, regulators and managers associated with the insurance industry in UAE, KSA and other emerging insurance markets. Regulators could provide enabling policies that foster and promote the business environment, as there is a need to improve risk management efficiency in the insurance industry. Also, the results of this study show that the operating status of the UAE insurance industry in terms of efficiency and risk management is lower than that of KSA. Hence, it would be useful for UAE managers and regulators in taking steps to improve the overall insurance industry market.

The results of this study make significant contributions by providing new insights to the existing literature on the risk management efficiency in the insurance industry, as it adopts a different methodological approach that examines risk management efficiency among TI and CI companies.