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The purpose of this study is to investigate the impact of terrorist attacks on the volatility and returns of the stock market in Tunisia.

The employed sample comprises 1250 trading day from the Tunisian stock index (Tunindex) and stock closing prices of 64 firms listed on the Tunisian stock market (TSM) from January 2011 to October 2015. The research opts for the general autoregressive conditional heteroscedasticity (GARCH) and exponential generalized conditional heteroscedasticity (EGARCH) models framework in addition to the event study method to further assess the effect of terrorism on the Tunisian equity market.

The baseline results document a substantive impact of terrorism on the returns and volatility of the TSM index. In more details, the findings of the event study method show negative significant effects on mean abnormal returns with different magnitudes over the events dates. The outcomes propose that terrorism profoundly altered the behavior of the stock market and must receive sufficient attention in order to protect the financial market in Tunisia.

Very few evidence is found on the financial effects of terrorism over transition to democracy cases. This paper determines the salient reaction of the stock market to terrorism during democratic transition. The findings of this study shall have relevant implications for stock market participants and policymakers.

This study aims to comparatively measure the impact factors of financial inclusion and their spillover effects for Belt and Road countries using panel data from 57 countries in 2011, 2014, 2017 and 2021 and relevant indicators from three dimensions: availability, usage and quality to construct a digital empowerment index of financial inclusion.

A spatial Durbin panel model is constructed to empirically test the impact mechanism of financial inclusion under digital empowerment.

Results reveal that improving a country’s quality of regulation, technology and residents’ financial literacy significantly contributes to the development of its financial inclusion, while improving its neighboring countries’ financial literacy also boosts its financial inclusion development. This study provides theoretical support for evaluating the development level of inclusive finance in “Belt and Road” countries, promoting the development of inclusive finance and alleviating the problem of financial exclusion.

This study is original as it creates a research paradigm for “Belt and Road” countries, enabling systematic testing and comparative analysis of inclusive finance development. It incorporates traditional and digital services, evaluating them based on sharing, fairness, convenience and specific group benefits. An inclusive financial index is constructed using the coefficient of variation and arithmetic weighted average methods. Additionally, it introduces a more rational analysis approach for the influence mechanism and spatial effect, using an economic geography nested matrix and spatial Durbin model to explore spatial effects in inclusive finance.

This article aims to investigate how institutional characteristics affect the level of financial development of economies collectively and compare between developed and undeveloped economies.

A dynamic panel with 131 countries, including developed and developing ones, was utilized; the estimators of the generalized method of moments system (GMM system) model were selected because they have econometric characteristics more suitable for analysis, providing superior statistical precision compared to traditional linear estimation methods.

The results from the full panel suggest that concrete and well-defined institutions are important for financial development, confirming previous research, with a more limited scope than the present work.

Limitations of this research include the availability of data for all countries worldwide, which would make the research broader and more complete.

A panel of countries was used, divided into developed and developing countries, to analyze the impact of institutional variables on the financial development of these countries, which is one of the differentiators of this work. Another differentiator of this research is the presentation of estimates in six different configurations, with emphasis on the GMM system model in one and two steps, allowing for comparison between results.

The purpose of this study is to cover the change that happened in the American foreign policy toward Iran by changing the American leadership from Obama to Trump. In addition to its coverage for the Iranian foreign policy toward the Arab region during the presidency period of Obama in the USA and also during the presidency period of Trump, to discover whether a change has happened in the Iranian foreign policy toward the Arab region is a result of the change in the American foreign policy or not. This can be discovered by concentrating on Yemen, Syria and Iraq, taking into consideration the Iranian and American national interests in the Arab region, as well as the regional role of Iran and its intervention in the Arab region.

This study was based on the analytical method of the foreign policy that is based on analyzing facts and events, as well as analyzing the roles and interests within the framework of the states’ foreign policy. This method was used in the study for the purpose of analyzing the impact of the change in the American leadership from Obama to Trump on the US foreign policy toward Iran in the light of the American interest; in addition to the Iranian foreign policy toward the Arab region (Yemen, Syria and Iraq) in the presidency period of both Obama and Trump in light of the regional role of Iran and its passion to achieve its national interest.

The study concluded that the change in the American foreign policy toward Iran is a result of the change of the American leadership from Obama to Trump by the American interest requirements in accordance to the respective of both of them. The change in the American policy led to a change in the trends of the Iranian foreign policy toward the Arab region in the term of the regional Iranian role. Under the American and Iranian convergence in the period of Obama, the Iranian role in the Arab region was limited to what could achieve its national interest and what did not threaten the American interest, especially after Iran had guaranteed that the USA is by its side. In the framework of the American and Iranian confrontation under Trump’s current presidency, the Iranian role has expanded in the Arab region, where Iran has intensified its intervention in Yemen, Syria and Iraq politically and militarily. Iran became more threatening to the American interest, as it became a means of pressure to the USA under Trump’s ruling in the purpose of changing its position toward it.

The importance of the study stems from the fact that it is seeking to analyze the change of the American foreign policy toward Iran within the period of two different presidential years of Obama and Trump, whereas, their trends were different in dealing with Iran between rapprochement and hostility toward it, on the basis of the American interest. In addition to testing whether this change in the American foreign policy toward Iran has been accompanied by a change in the Iranian foreign policy toward the Arab region.

Social networks (SNs) have recently evolved from a means of connecting people to becoming a tool for social engineering, radicalization, dissemination of propaganda and recruitment of terrorists. It is no secret that the majority of the Islamic State in Iraq and Syria (ISIS) members are Arabic speakers, and even the non-Arabs adopt Arabic nicknames. However, the majority of the literature researching the subject deals with non-Arabic languages. Moreover, the features involved in identifying radical Islamic content are shallow and the search or classification terms are common in daily chatter among people of the region. The authors aim at distinguishing normal conversation, influenced by the role religion plays in daily life, from terror-related content.

This article presents the authors' experience and the results of collecting, analyzing and classifying Twitter data from affiliated members of ISIS, as well as sympathizers. The authors used artificial intelligence (AI) and machine learning classification algorithms to categorize the tweets, as terror-related, generic religious, and unrelated.

The authors report the classification accuracy of the K-nearest neighbor (KNN), Bernoulli Naive Bayes (BNN) and support vector machine (SVM) [one-against-all (OAA) and all-against-all (AAA)] algorithms. The authors achieved a high classification F1 score of 83\%. The work in this paper will hopefully aid more accurate classification of radical content.

In this paper, the authors have collected and analyzed thousands of tweets advocating and promoting ISIS. The authors have identified many common markers and keywords characteristic of ISIS rhetoric. Moreover, the authors have applied text processing and AI machine learning techniques to classify the tweets into one of three categories: terror-related, non-terror political chatter and news and unrelated data-polluting tweets.

The paper aims to investigate the relationship between institutions and economic growth in developing countries, considering the role of financial inclusion, education spending and military spending.

The study employs dynamic panel analysis, specifically two-step system generalized method of moments (GMM), on a sample of 61 developing countries over the period 2009–2020.

The results confirm that weak institutional quality, weak financial inclusion and increased military spending are barriers to economic growth, conversely, increased spending on education and gross capital formation contribute to economic growth in developing countries. Regarding the specific institutional factor, we find that corruption, ineffective government, voice and accountability and weak rule of law contribute negatively to growth.

The study calls for strengthening institutions so that the financial system supports economic growth and suggests increasing spending on education to improve access to and the quality of human capital, which is an important determinant of economic growth.

The study contributes to scarce literature by empirically analyzing the relationship between institutions and economic growth by considering the role of financial inclusion, public spending on education and military spending, factors that have been ignored in previous studies. In addition, the study identifies the institutional dimension that contributes to reduced economic growth in developing countries.

This study aims to explain the emergence and development of the concept of “Policy Networks” as a unit of analysis in the realm of public policies and their role in formulating a comprehensive policy for health insurance. The developments that took place over the past few decades had impacted a shift in the state’s role in shaping public policies, from a sole, key actor to one among other actors, both governmental and non-governmental, working interdependently through a set of networks.

The present study adopts the social network analysis as an approach and the social policy network as a tool to analyze public policymaking. The approach suggests the presence of a number of actors and interest groups that are actively involved in public policy and decision-making. These groups may vary from a cause to another and also from time to time. This research investigates and juxtaposes a selected sample of members of the health insurance policy network in Egypt.

In light of the study findings, one can see the existence of a policy network for the comprehensive health insurance system in Egypt. The study reveals the interrelations among a number of official and non-official key actors. The network has gone through several phases; the pre-establishment phase during the early stages of policymaking; the official establishment phase during the formative stage; and finally, the network operation phase during the implementation stage. The study also concludes that the policy network has influenced the different stages of policymaking through several tools and strategies. Moreover, the roles of different actors varied within the network; international organizations were the primary influencer in the early stages of policymaking; syndicates dominated the formative stage; and the public sector played the leading role in the implementation stage.

Serious attempts were made to benefit from policy networks with a particular focus on using the strengths of each actor while establishing an official institutional framework that consolidates coordination and cooperation among the involved parties. This framework should keep pace with global changes and developments. It should also have an official meeting venue. Above all, all parties should be listened to and their demands should be considered seriously as long as they are not actualized at the expense of the public interest nor do they undermine the sovereignty of the state. The study also enhances researchers to use policy networking as a unit for analyzing public policy and their effect on these policies.

Public policymaking in Egypt can become more responsive to people’s demands and more democratic once it was made through informative and interactive policy network. This pattern of policymaking will enhance both efficient and responsive.

Practical Implications: public policy making in Egypt can become more responsive to people demands and more democratic once it was made through informative and interactive policy network. This pattern of policymaking will enhance both efficient and responsive.

In addition to its practical contributions to the field of policymaking, this research fills a gap in the literature on the theoretical level.

The present study investigates the effect of foreign direct investment (FDI) and governance quality on carbon emissions in the Economics Community of West African States (ECOWAS).

To achieve the objective of this research, panel data for dependent and explanatory variables over the period 2005–2016, collected in the World Development Indicators (WDI) database and World Governance Indicators (WGI), are analyzed using the generalized method of moments (GMM). Also, the panel-corrected standard errors (PCSE) method is applied to the four segments of the overall sample to analyze the stability of the results.

The findings of this study are: (1) FDI inflows have a negative effect on carbon emissions in ECOWAS and (2) The interaction between FDI inflows and governance quality have a negative effect on carbon emissions. These results show the decreasing of environmental damage by increasing institutional quality. However, the estimation results on the country subsamples show similar and non-similar aspects.

This study suggests that policymakers in the ECOWAS countries should strengthen their environmental policies while encouraging FDI flows to be environmentally friendly.

The subject has rarely been explored in West Africa, with gaps such as the lack of use of institutional variables. This study contributes to the literature by drawing on previous work to examine the role of good governance on FDI and the CO2 emission relationship in the ECOWAS, which have received little attention. However, this research differs from previous work by subdividing the overall sample into four groups to test the stability of the results.

This study seeks to examine the relationship between macroeconomic shock indicators, namely geopolitical risk (GPR), global economic policy uncertainty (GEPU) and financial stress (FS), and returns as well as volatilities on seven carefully selected stock markets in Africa. Specifically, the study intends to unravel the co-movement and interdependence between the respective macroeconomic shock indicators and each of the stock markets under consideration across time and frequency.

This study employed wavelet coherence approach to examine the strength and stability of the relationships across different time scales and frequency components, thereby providing valuable insights into specific periods and frequency ranges where the relationships are particularly pronounced.

The study found that GEPU, Financial Stress (FS) and GPR failed to induce significant influence on African stock market returns in the short term (0–4 months band), but tend to intensify in the long-term band (after 6th month). On the contrary, stock market volatilities exhibited strong coherence and interdependence with GEPU, FSI and GPR in the short-term band.

This study happens to be the first of its kind to comprehensively consider how the aforementioned macro-economic shock indicators impact stock markets returns and volatilities over time and frequency. Further, none of the earlier studies has attempted to examine the relationship between macro-economic shocks, stock returns and volatilities in different crisis periods. This study is the first of its kind in to employ data spanning from May 2007 to April 2023, thereby covering notable crisis periods such as global financial crisis (GFC) and the COVID-19 pandemic episodes.

This study examines whether international tourism demand in the Visegrád countries is influenced by countries' risk rating on environmental, social and governance (ESG) factors, as non-economic factors relating to ESG risks have been ignored by previous researches on determinants of international tourism demand.

The study investigates panel data for the Visegrád countries comprising the Czech Republic, Hungary, Poland and Slovakia over the period 1995–2019. Recently developed techniques of augmented mean group (AMG) and common correlated effects mean group (CCEMG) estimators are employed so as to take care of cross-sectional dependence, nonstationary residuals and possible heterogeneous slope coefficients.

The regression estimates suggest that besides economic factors, the perception of international tourists regarding ESG risk is another important determinant of international tourism demand in the Visegrád countries. The study also established that income levels in the tourists' originating countries are the most critical determinant of international tourism demand to the Visegrád countries.

The research outcomes of the study include the need for the Visegrád countries to direct policies towards further mitigating their ESG risks in order to improve future international tourism demand in the area. They also need to ensure exchange rate stability to prevent volatility and sudden spikes in the relative price of tourism in their countries.