Does sustainability matter for Fintech firms? Evidence from United States firms

Purpose This study aims to look at how financial technology (FinTech) companies adhere to sustainable standards in contrast to their counterparts. Following the validation of its new sustainability index, this study looks into the impact of sustainability on the stock performance of FinTech companies. Design/methodology/approach To efficiently test the hypotheses, sample has been collected from the Bloomberg of all FinTech and non-FinTech companies from the USA. The final sample comprises 1,712 company-year observations over the investigation period 2010–2019. The methodology entails ordinary least squares regressions and generalized panel methods of moments (GMM). Findings The results suggest that the developed sustainability index is a valid proxy for sustainability measures and directly relates to stock performance. Besides, the evidence indicates that non-FinTech companies display superior sustainability and stock performance compared to FinTech companies. The present results corroborate with stakeholder theory, which implies that quality sustainability performance will alleviate the agency issue and safeguard the shareholders’ interest. Research limitations/implications Despite the fact that it presents the limitation of not considering other dimensions of financial performance, this research is important as it highlights the sustainability practices by the FinTech and non-FinTech companies, offering insights to researchers, policymakers, regulators, financial reports users, investors, environmental union, employees, clients and society. Originality/value This paper is novel because it is unique in evaluating the sustainability practices in FinTech and non-FinTech firms.

Intellectual Capital and Firm Performance across Pakistani Industries

This study sheds light on the differences in intellectual capital (IC) efficiencies across non-financial sectors in Pakistan and determines the relationship between IC and firm performance. The study used sample of 155 non-financial firms from the manufacturing and service industries of Pakistan for the period 2009-2018. This study contributes to IC research by applying modified value-added intellectual capital (MVAIC) model with relationship to firm performance (return on assets and Tobin’s Q) of Pakistani non-financial firms which was overlooked by the previous researchers. In addition, to deal with endogeneity, the dynamic panel generalized methods of moments regression is applied to test the relationship between IC and performance. Findings provide evidence that different sectors in non-financial industries manage IC components differently. IC increases both market-based performance and accounting-based performance of Pakistani firms. Among all IC components, human capital efficiency is an important determinant of firm performance. The implication can provide help managers and investors to understand the IC to increase the firm performance.

Nexus Unclassified Loans, Classified Loans, and Profitability

This study investigates the impact of some variables such as total revenue, total assets, total liabilities, total deposits, total unclassified loans, total classified loans, standard loans, special mention account loans, sub-standard loans, doubtful loans, and bad and loss loans on profit before tax. Unbalanced Panel Data were collected from the website of 45Commercial Bank of Bangladesh from the year 2010 to 2018. Ordinary Least Square (OLS), Pooled Ordinary Least Square (POLS), Driscoll-Kraay (DK), Second Stage Least square (2SLS), Generalized Methods of Moments (GMM) methods are used in this study. This research found that total revenue had a significant positive relationship with profit before tax in all the models except DK and GMM models. Total unclassified loans had a significant positive relationship and total liabilities had a significant negative relationship with profit before tax in all the models. Special mention account loans had a significant positive relationship with profit before tax in OLS and DK models and total classified loans had a significant positive relationship with profit before tax in GMM model.

The anthropogenic consequences of energy consumption in the presence of uncertainties and complexities: evidence from World Bank income clusters

In environmental management, many studies have examined the energy consumption-emission nexus in detail. However, for the first time in the literature, this study considers how the Economic Complexity Index (ECI) and economic policy uncertainty (EPU) moderate the contribution of energy consumption to emissions for the four World Bank Income clusters. The system generalised methods of moments are applied to data for 109 countries from 1996 to 2016. Based on the main model (grouped clusters) estimations, the result revealed the existence of the environmental Kuznets curve (EKC) hypothesis. Also, an increase in air transport and consumption of energy releases more carbon emissions to the climate. Interestingly, ECI decreases carbon emission significantly while EPU does not have a significant impact. Moreover, the study revealed that ECI moderated the impact of other variables on emission, but EPU is not a significant moderator. Furthermore, a comparative analysis among the four incomes suggests that the EKC hypothesis holds only in the high-income clusters; ECI is a significant predictor of carbon emission in the four clusters, but it only decreases the emission in high-income clusters. This corroborates the debate on climate change and the productive capacity of high-income countries. Given the foregoing, several policy measures were recommended.

Comparative Study of New and Traditional Estimators of a New Lifetime Model

In this article, we have studied the behavior of estimators of parameter of a new lifetime model, suggested by Maurya et al. (2016), obtained by using methods of moments, maximum likelihood, maximum product spacing, least squares, weighted least squares, percentile, Cramer-von-Mises, Anderson-Darling and Right-tailed Anderson-Darling. Comparison of the estimators has been done on the basis of their mean square errors, biases, absolute and maximum absolute differences between empirical and estimated distribution function and a newly proposed criterion. We have also obtained the asymptomatic confidence interval and associated coverage probability for the parameter.

Bank Regulation in the Economies in Transition

Given that banking in economies of transition fluctuate heavily, we explore the effect of regulatory norms on performance of banking industry. In particular, we examine the effect of Reserve Requirements, Activity Restrictions, and Capital Stringencies on the overall industry profitability and stability of the financial institutions. We utilize the Generalized Methods of Moments methodology to the panel data regressions over 17 different transitional economies during, and after the crisis period of 2008 through to 2019. Our results show that the Reserve Requirements regulatory norm is the only significant factor that improves the profitability and diminishes the risk of financial instability. The findings are confirmed with our tests over the regional sub-samples. This research sheds the light on the necessities of political and economic reforms in banking for these markets in transition.

Effect of the Utilization of Non-Reciprocal Trade Preferences offered by the QUAD on Economic Complexity in Beneficiary Countries

This article aims to contribute to the nascent literature on the effect of non-reciprocal trade preferences (NRTPs) on industrialization in beneficiary countries. In so doing, it complements the few existing works on the effect of NRTPs on export product diversification by investigating the effect of NRTPs (both the Generalized System of Preferences- GSP programs- and other non-reciprocal trade preferences) offered by the QUAD countries on the level of economic complexity in beneficiary countries. The analysis has relied on 110 beneficiary countries of these NRTPs over the period 2002–2018, and made primarily use of the two-step system Generalized Methods of Moments estimator. The findings are quite interesting. First, beneficiary countries tend to use GSP programs (rather than other trade preferences) to achieve greater economic complexity, and the positive effect of the utilization of GSP programs on economic complexity is higher for high income beneficiary countries than relatively less advanced beneficiary countries. Second, both GSP programs and other non-reciprocal trade preferences are strongly complementary in promoting economic complexity in beneficiary countries, in particular if their usage reach high levels. Third, the utilization of NRTPs enhances economic complexity in countries that receive high foreign direct investment flows. Finally, development aid flows are strongly complementary with the utilization of NRTPs in fostering economic complexity in beneficiary countries, especially for high amounts of development aid. This suggests the need for preference-granting countries (that are also suppliers of development aid) to offer both generous NRTPs and higher development aid flows if those NRTPs are to be effective in expanding the manufacturing base in the beneficiary countries.Jel Classification: F13; F14; O14.

Effect of Aid for Trade on Financial Development: Exploring the Channel of Manufactured Exports

Many studies have considered the macroeconomic effects of Aid for Trade (AfT) flows, that is, the part of official development assistance allocated for the development of the trade sector. The present paper aims to expand this literature by investigating the effect AfT flows on financial development notably through channel of manufactured exports. The analysis has covered a set of 120 countries over the period 2002–2017, and relied primarily on the two-step system Generalized Methods of Moments (GMM). Results show that total AfT flows, notably its components AfT for economic infrastructure and AfT for productive capacity promote financial development, and the magnitude of these positive effects rises as countries' share of manufactured exports increases. Additionally, total AfT flows influence positively financial development in countries that diversify their export product basket towards manufactured exports. These findings highlight the key role of AfT flows in promoting financial development in recipient-countries, and therefore call on donor-countries to scale up AfT flows in favour of developing countries, given the importance of financial development for economic development.

A New Birnbaum–Saunders Distribution and Its Mathematical Features Applied to Bimodal Real-World Data from Environment and Medicine

In this paper, we propose and derive a Birnbaum–Saunders distribution to model bimodal data. This new distribution is obtained using the product of the standard Birnbaum–Saunders distribution and a polynomial function of the fourth degree. We study the mathematical and statistical properties of the bimodal Birnbaum–Saunders distribution, including probabilistic features and moments. Inference on its parameters is conducted using the estimation methods of moments and maximum likelihood. Based on the acceptance–rejection criterion, an algorithm is proposed to generate values of a random variable that follows the new bimodal Birnbaum–Saunders distribution. We carry out a simulation study using the Monte Carlo method to assess the statistical performance of the parameter estimators. Illustrations with real-world data sets from environmental and medical sciences are provided to show applications that can be of potential use in real problems.

The Impact of Integrated UN Missions on Humanitarian NGO Security

Since the end of the Cold War, the UN has extended many of its missions in conflict zones to include political, military, and humanitarian activities. Many humanitarian nongovernmental organizations have been critical of these “integrated” UN missions, claiming that they can blur the distinction between political, military, and humanitarian action, thus placing humanitarian aid workers at risk of retaliation from warring factions opposed to the UN’s political objectives. This proposition is empirically tested using generalized methods of moments statistical analysis of sixty-seven countries that experienced intrastate conflict between 1997 and 2018. When assessing attacks in general—to include the sum of aid workers killed, wounded, and kidnapped—the results indicate that humanitarian aid workers are more likely to come under attack in countries that have an integrated UN mission. However, when the attacks are assessed separately, results show that this relationship holds only with aid workers who are killed in the field.