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This paper compares the hedging performance of the minimum‐extended Gini hedge ratio (MEGHR) and the minimum‐variance hedge ratio (MVHR) using three emerging market currencies. The MEGHR is consistent with the expected utility hypothesis under very general conditions, unlike the MVHR which requires special distributional assumptions. Our sample violates these conditions, and thus provides a context for contrasting the performance of the MEGHR and MVHR. Our results show that the MVHR and MEGHR are indeed different and in some cases the differences are substantial, both statistically and in order of magnitude. This indicates that the MEGHR should provide superior hedging performance given its theoretical robustness. Our hedging performance results support this conclusion for all currencies.

Recent studies indicating long term dependence in stock market indices have found a mean reversion process. However, studies using rescaled range (R/S) analysis have not found evidence of a mean reversion or ergodic process. Instead, evidence from these studies indicate either long term persistence in a nonperiodic cycle or short run Markovian dependence with no long term persistence. The purpose of this paper is to study the issue of long term dependence using rescaled range analysis. The empirical results obtained in this study support the persistent dependence/nonperiodic cycle results and suggest that the dependence arises from the general economic cycle.

This study aims to focus on the important role of chief executive directors (CEOs’) emotional intelligence to explain the interactive relationship between research and development (R&D) investment and environmental performance in the energy sector and also to explain how the diversification into new energy technology provides explanations for environmental problems.

This research was realised through the completion of a questionnaire-type inquiry structured around table-based analysis. Two five-scale questionnaires were completed by CEOs relating to oil and gas industry. The first instrument reflects the level of emotional intelligence. The second instrument indicates elements of environmental performance. A total of 158 firms were approached using a questionnaire, where 112 responses were received and 108 valid responses were used for analysis. The data were analyzed by the partial least squares method.

The results confirm the positive effect of CEOs’ emotional intelligence on the interaction between R&D, energy and recycling. In addition, the diversification strategy further influences the role of CEOs’ emotional intelligence to provide explanations into a R&D investment for the environmental problems in the Tunisian energy sector. The findings reveal challenges and opportunities for Tunisia’s energy industry to increase R&D investment that will enable the economy to use more environment-friendly devices and technologies that will be reducing pollution.

First, this study indicates the important role of managerial emotional intelligence to explain the impact of R&D investment and help Tunisian energy enterprises look for means to minimise their environmental expenses through raising energy efficiencies, reducing pollution and encouraging reuse and recycling. Second, this study explains how a diversification strategy can mediate the interaction effect of CEO emotional intelligence. The Tunisia oil and gas sector has not been subjected to extensive research and this paper, to the best of the authors’ knowledge, represents a first attempt to provide an overview of the sector.

The Disaster Awareness Game (DAG) was designed to evaluate and promote disaster awareness among children in multicultural societies. This study seeks to discuss this.

The validation methodology was undertaken in four stages: Pre‐Test Stage – this stage is intended to evaluate the existing levels of disaster awareness among the target population using a questionnaire survey. DAG Exposure 1 – This represents the second stage of the pre‐test through exposure of the target population to the DAG. Provision of disaster information – In this stage, participants are provided with disaster management information on hazards that are pertinent to their environment. Post‐test stage – this stage was intended to evaluate the impact of the DAG and the provision of disaster information on the level of awareness among participants.

Preliminary results suggest that the tool is effective in educating children about hazards, and measuring levels of disaster awareness and is interesting enough to hold children's attention.

The present study provides a starting‐point for further research in the design and development of tools for measuring levels of disaster awareness and in educating children about disaster preparedness.

The DAG can be used as a benchmarking tool for gauging levels of diaster awareness within various groups in society (children, adults, gender, language groups etc.) or across regions in a country (rural versus urban) and in different countries in the Caribbean region (e.g. High income versus Low income) in order to determine and prioritize interventions for disaster education.

This study aims to investigate the impact of financial and behavioural factors on investment decisions in the cryptocurrency market within the Gulf Cooperation Council (GCC).

The study uses the cross-sectional absolute deviation methodology developed by Chang et al. (2000) to determine the existence of herding behaviour during extreme conditions in the cryptocurrency market of four GCC countries: Bahrain, Saudi Arabia, Kuwait and UAE. In addition, a questionnaire survey was distributed to 322 investors from the GCC cryptocurrency markets to gather data on their investment decisions.

The study finds that the herding theory, prospect theory and heuristics theory account for 16.5% of the variance in investors' choices in the GCC cryptocurrency market. The regression analysis results show no multicollinearity problems, and a high F-statistic indicates the general model's acceptability in the results.

The study's findings suggest that behavioural and financial factors play a significant role in investors' choices in the GCC cryptocurrency market. The study's results can be used by investors to better understand the impact of these factors on their investment decisions and to develop more effective investment strategies. In addition, the study's findings can be used by policymakers to develop regulations that consider the impact of behavioural and financial factors on the GCC cryptocurrency market.

This study adds to the body of literature in two different ways. Initially, motivated by earlier research examining the impact of behaviour finance factors on investment decisions, the authors look at how the behaviour finance factors affect investment decisions of the GCC cryptocurrency market. To extend most of these studies, this study uses a regime-switching model that accounts for two different market states. Second, by considering the recent crisis and more recent periods involving more cryptocurrencies, the authors have contributed to several studies examining the impact of behavioural financial factors on investment decisions in cryptocurrency markets. In fact, very few studies have examined the impact of behavioural finance on cryptocurrency markets. Therefore, to the best of the authors’ knowledge, this study is the first of its kind to investigate how behavioural finance factors influence investment decisions in the GCC cryptocurrency market. This allows to better illuminate the factors driving herd behaviour in the GCC cryptocurrency market.

Economies of former Soviet bloc countries are being radically changed from state‐run to market systems. One of the major impacts of such change is on the core logistical component of transport. Transport enterprises and their clients are attempting to adjust to the rules of a market economy. Attempts to delineate the difficulties arising from such transition by examining the restructuring, privatization and deregulation issues of transport in Poland. Examines specifically forms of ownership, privatization regulation, Government passenger carriers and international road transport. Concludes that research and education must be initiated immediately in order to help formulate properly a transport policy that will provide for an optimum national logistical system.