Evaluating the effects of language on international trade in MENA countries: A gravity-model approach

Prior studies have investigated the role of economic and noneconomic variables on international trade. A major factor, which has been studied less, is the language used in transactions and negotiations. We explore the effects of language connectedness and the Arabic language on international trade in thirteen countries in the Middle East and North Africa (MENA) region. We used a panel of bilateral data and gravity model for the countries of the region over the 2000 to 2018 period. Our analytic technique was the Poisson pseudo-maximum-likelihood (PPML) estimation method. The empirical outcomes indicate that speaking Arabic leads to an increase in export, that is, Arab nations prefer to export to the countries whose people speak their language. In addition, the language connectedness index, which depends on the extent to which the country's languages are spoken outside the country, is positively associated with the levels of exports and imports. Results further show that the GDP, population of the destination country, and political co-stability have significant positive impacts on the bilateral exports. Additionally, GDP, the population of the source country, political co-stability, and a common border have had significant positive influences on bilateral imports. The major contribution of this research is that the Arabic language has a significant and positive impact on trade among MENA countries.

Corporate real estate management and bank profitability

Acquiring property for any business is capital intensive and for that matter, strategically managing such assets is considered equally important. This paper provides an analysis of the value-adding attributes of corporate real estate management (CREM) and bank performance in Ghana. The multiple regression method was applied to a cross-section of both primary and secondary data sourced from 25 commercial banks in Ghana. The study shows that the banks identify with the value-adding attributes of corporate real estate asset management even though there are variations in the level of importance to individual banks. These variations are attributable to the unique mandates of the banks. Further analysis shows that CREM has significantly positive impacts on bank profitability by strategies that help to increase innovations, increase productivity, and promote marketing and sales. The finding suggests that optimizing these CREM strategies could help increase bank profits.

Effects of sentiment and emotion of campaign pitch on crowdfunding performance: A cross-cultural comparison

This study examines the effects of two extreme sentiments (positive vs. negative) and eight types of emotion (anger, fear, anticipation, trust, surprise, sadness, joy, and disgust) implied by the wording of the campaign pitch on the outcomes of crowdfunding, and how these effects would vary according to cultural differences (Western vs. Eastern). We analyze a sample drawn from 17,289 crowdfunding projects on Kickstarter in the "design" and "technology" category to examine how feelings can affect the success, the number of backers, and pledged amounts for crowdfunding projects. We find three regularities by using propensity score match to map Western campaigns to Eastern ones. First, negative sentiment is adversely associated with the success probability but positively related to backer count in the Eastern culture subsample. Second, specific emotions have a larger impact on crowdfunding success among Western culture projects. Third, the statistical significance and direction of the concerning effects differ across the two cultures. Our findings stay robust when we add more controls in a stepwise way. Hence, the study contributes to the literature and provides suggestions for practitioners by exploring the role of derived feelings in the crowdfunding campaign pitch and the entrepreneurial pitch at the early financing stage.

Portfolio investment and U.S. monetary policy announcements: An event study analysis using high-frequency data from Mexico

We study how unconventional monetary policy announcements affected the entry of foreign investment in debt and equity in Mexico, placing special focus on announcements related to the third QE program and the taper tantrum episode. A novel dataset on daily debt and equity flows, that maps Balance of Payments data quite well, allows this paper to provide a better insight into movements of capital. The results suggest that both equity and debt flows reacted immediately to unexpected U.S. monetary policy announcements, particularly if these are considered as bad news by investors. In turn, results using weekly data support the idea that investors interested in fixed income instruments move more prudently than those interested in equity which react quickly.

The co-movement of Bitcoin and some African currencies – A wavelet analysis

This paper investigated the co-movement between the bitcoin (BTC) and the exchange rates of some African currencies to the USD (United States Dollars) using the continuous wavelet transform (CWT) and wavelet coherence (WTC). This was done for the noisy as well as the denoised series. The CWT for the noisy series suggests high volatility for those who hold the currencies for the short term and low volatility for those who hold the currencies for a long-term period. The CWT of the denoised series suggests that volatility at low frequency is driven by noise, while volatility at a higher frequency is driven by market forces. The wavelet coherence suggests that in the presence of noise, bitcoin will be a hedge for the currencies. However, in the absence of noise, bitcoin is a haven for the Egyptian EGP, followed by the Algerian DZD, then the Nigerian NGN, and may not be a haven for the South African ZAR.

Investigating dynamic interdependencies between traditional and digital assets during the COVID-19 outbreak: Implications for G7 and Chinese financial investors

This paper discusses the relationship between the volatilities of traditional and digital assets before and during the COVID-19 pandemic. Using daily data relevant to the period ranging from January 4, 2016, to April 15, 2020, the results of the DCC-MVGARCH model indicate that the stock markets responded to the Coronavirus outbreak as the crypto market with worrying volatility. Before this outbreak, Bitcoin and gold are considered as a hedge for US, English, French, German, and Italian financial investors. The conditional correlation between stock indices and other assets was skyrocketing during this pandemic, except for the couple SSE-Ripple.

Financial development and CO2 discharge in Nigeria

This study examined the effect of financial development, fossil energy use, economic progress, and FDI on environmental pollution in Nigeria from 1981 – 2014 using the ARDL technique. The outcome of the bond test reveals the presence of a long-run association on the variables of the model. The short-run estimate shows that all the variables positively influence CO2. The result of the long-run analysis further indicates that financial progress, fossil fuel, and GDP accelerates the level of CO2 discharge. However, FDI does not explain environmental pollution in Nigeria. Hence, the study suggests that government and policymakers should formulate policies to improve financial development designed to mitigate CO2 discharge by giving directives to financial institutions that all credits allocation should be toward the purchase of low emission technologies and domestic appliances. In addition, environmentalists should enlighten citizens on the danger of environmental pollution and ways to reduce it through public lectures and seminars.

Practices of corporate social responsibility in the UAE banking sector: An assessment

There is a conspicuous lack of research on Corporate Social Responsibility (CSR) practices undertaken in the United Arab Emirates, more so in the banking sector. This paper attempts to fill the gap by examining the government policies drawn up to support enterprises in their CSR efforts. The paper aims to examine the nature and practices of CSR undertaken by the banking sectors in the UAE. UAE's desire to go beyond being a tourist destination to an international business hub and financial market has resulted in their desire to set up CSR activities. In the UAE the banking sectors are the first to have adopted social responsibility and worked to advance it. Banks like Mashreq, ADCB, and Emirates NBD have actively involved themselves in CSR projects. For this study, ten UAE banks (Islamic and Non-Islamic banks) have been chosen based on purposive sampling to ensure the selected banks are currently or in the recent past involved themselves in CSR projects.

Corporate governance disclosure and corporate performance of Nigerian banks

Corporate disclosure is a key mechanism of corporate governance. This study examined the effect of corporate governance disclosure (CGD) on the financial performance of commercial banks listed on the Nigeria Stock Exchange. Based on the provisions of the Code of Corporate Governance for Public Companies in Nigeria, 2011 and the Code of Corporate Governance for Banks and Discount Houses 2014, the study developed a disclosure checklist and employed content analysis technique to extract corporate governance (CG) from 78 annual reports of 13 Nigerian commercial banks from 2011 to 2016. The study trichotomized CGD into those relating to the board of directors, risk framework, and whistleblowing policy. The results of the hypothesized relationships showed a positive and significant association between CGD and the banks' financial performance, with a positive effect of CGD on the board of directors and whistleblowing policy. However, the study did not find a significant association between CGD of risk management framework and the banks' financial performance. This study contributes to the body of knowledge by providing a broader understanding of the effect of CGD on banks' financial performance. The development of a disclosure checklist based on the regulators’ codes of corporate governance is a useful addition to the literature.

Entrepreneurial motivational factors and operational performance of small-scale industries in Yanya

To address the growing labour unemployment rate in Nigeria, several hard and soft intervention policies have been put in place by the Nigerian government and supporting partners. Based on the assumption that unemployment, government interventions, and personal ambition can motivate individuals into entrepreneurship, this study examined the effect of entrepreneurial motivational factors on the operational performance of Small Scale Industries (SSIs) located in Yanya, Abuja. Relying on a cross-sectional survey research design, 337 practicing entrepreneurs, random sampling technique and multiple regression analysis, the study found that facilitating and compelling motivational factors are the significant predictors of SSIs’ performance, while ambitious motivational factor is negatively but significantly impactful on SSIs’ performance. It, therefore, suffices to recommend that the Nigerian government and organized private sector should collaborate to increase the stock of hard and soft infrastructure, especially in the industrial estates and business clusters, to enhance entrepreneurship participation and inclusiveness