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Crypto-currencies, decentralized electronic currencies systems, denote a radical change in financial exchange and economy environment. Consequently, it would be attractive for designers and policy-makers in this area to make out what social media users think about them on Twitter. The purpose of this study is to investigate the social opinions about different kinds of crypto-currencies and tune the best-customized classification technique to categorize the tweets based on sentiments.

This paper utilized a lexicon-based approach for analyzing the reviews on a wide range of crypto-currencies over Twitter data to measure positive, negative or neutral sentiments; in addition, the end result of sentiments played a training role to train a supervised technique, which can predict the sentiment loading of tweets about the main crypto-currencies.

The findings further prove that more than 50 per cent of people have positive beliefs about crypto-currencies. Furthermore, this paper confirms that marketers can predict the sentiment of tweets about these crypto-currencies with high accuracy if they use appropriate classification techniques like support vector machine (SVM).

Considering the growing interest in crypto-currencies (Bitcoin, Cardano, Ethereum, Litcoin and Ripple), the findings of this paper have a remarkable value for enterprises in the financial area to obtain the promised benefits of social media analysis at work. In addition, this paper helps crypto-currencies vendors analyze public opinion in social media platforms. In this sense, the current paper strengthens our understanding of what happens in social media for crypto-currencies.

For managers and decision-makers, this paper suggests that the news and campaign for their crypto in Twitter would affect people’s perspectives in a good manner. Because of this fact, the firms, investing in these crypto-currencies, could apply the social media as a magnifier for their promotional activities. The findings steer the market managers to see social media as a predictor tool, which can analyze the market through understanding the opinions of users of Twitter.

This paper aims to examine whether the crypto-currencies’ market returns are symmetric or asymmetric informative, through analysing the daily logarithmic returns of bitcoin currency over the period of 2011-2017.

In doing so, the symmetric informative analysis is estimated by applying the generalised auto-regressive conditional heteroscedasticity (GARCH) (1,1) model, whereas asymmetric informative or leverage effects analysis is estimated by exponential GARCH (1,1), asymmetric power ARCH (1,1) and threshold GARCH (1,1) models. In addition, the generalized autoregressive conditional heteroskedasticity in mean (GARCH-M (1,1)) was applied to examine whether the risk-return trade-off phenomenon was persistent in crypto-currencies market.

The main findings indicate that bitcoin market return or volatility is symmetric informative and has a long memory to persist in the future. Furthermore, the sympatric volatility is found to be more sensitive to its past values (lagged) than to the new shock of the market values. However, asymmetric informative response of volatility to the negative and the positive shocks do not exist in the bitcoin market or, in other words, there is no leverage effect. This suggests that the bitcoin market is in harmony with the efficient market hypothesis (EMH) with respect to the asymmetric information and violated the EMH with regard to the symmetric information. Hence, the market price or return of bitcoin currency could not be predicted by simply exercising such past market information in the short-run investment. In addition, the estimated coefficient of conditional variance or risk premium (λ) in the mean equation of CHARCH–M (1,1) model is positive however, statistically insignificant. This indicates the absence of risk-return trade-off, in which case the higher market risk will not essentially lead to higher market returns. This paper has proposed that an investment in the crypto-currency market is more appropriate for risk-averse investors than risk takers.

The findings of the study will provide investors with necessary information about the bitcoin market price efficiency, hedging effectiveness and risk management.

The purpose of this paper is to look at current discourse on the topic of crypto-currencies, more specifically Bitcoins, and their application to funding acts of terror. The paper clearly establishes the risks posed by this new payment technology and value transfer system to assist in the process of funding, planning and implementing acts of terror.

Publications, blogs and sites published and administered by terrorists groups and their supporters are examined to determine their interest in leveraging emerging payment and value transfer systems to facilitate the funding, planning and implementation of terror attacks. Press releases and other publications are also examined to determine whether crypto-currencies have been used by these groups in fund raising, fund transfer or recent terror attacks.

Although it is difficult to find concrete evidence of largescale use of Bitcoins and other crypto-currencies by terrorist groups and their supporters, there is strong evidence to suggest that they have been linked to a number of terror attacks in Europe and Indonesia. Supporters of Islamic State of Iraq and Syria (ISIS), jihadists and terrorist organisations are actively looking to and promoting the use of new and emerging technologies, such as Bitcoin, to mitigate some of the risks associated with traditional fund transfer methods. Some websites associated with terrorist organisations have started to collect donations in Bitcoins. Many Bitcoin ATMs and Bitcoin exchanges are located in countries that have seen significant numbers of foreign fighters join ISIS in the Middle East and are also positioned in countries that have seen increased risk of terror attack. These present a significant risk because they allow for the seamless, anonymous transfer of funds to and from terrorist groups and their supporters. The paper highlights the need for further in-depth research into reliable ways to circumvent the current difficulties experienced in differentiating illicit transactions from legitimate ones and establishing reliable means of attribution.

Using a document published by ISIS, which provides would-be jihadists detailed instructions on how they can get to Syria or Iraq without being detected, a set of models were created showing how this could be achieved using Bitcoins alone. From this scenario, red flag indicators and suspicious behaviour models have been created to determine whether they can be identified during detailed analysis of the Bitcoin blockchain which will be conducted in later stages of research.

The purpose of this paper is to shed fresh light into whether an energy commodity price index (ENFX) and energy blockchain-based crypto price index (ENCX) can be used to predict movements in the energy commodity and energy crypto market.

Using principal component analysis over daily data of crude oil, heating oil, natural gas and energy based cryptos, the ENFX and ENCX indices are constructed, where ENFX (ENCX) represents 94% (88%) of variability in energy commodity (energy crypto) prices.

Natural gas price movements were better explained by ENCX, and shared positive (negative) correlations with cryptos (crude oil and heating oil). Using a vector autoregressive model (VAR), while the 1-day lagged ENCX (ENFX) was significant in estimating current ENCX (ENFX) values, only lagged ENCX was significant in estimating current ENFX. Granger causality tests confirmed the two markets do not granger cause each other. One standard deviation shock in ENFX had a negative effect on ENCX. Weak forecasting results of the VAR model, support the two markets are not robust forecasters of each other. Robustness wise, the VAR model ranked lower than an autoregressive model, but higher than a random walk model.

Significant structural breaks at distinct dates in the two markets reinforce that the two markets do not help to predict each other. The findings are limited by the existence of bubbles (December 2017-January 2018) which were witnessed in energy blockchain-based crypto markets and natural gas, but not in crude oil and heating oil.

As per the authors’ knowledge, this is the first paper to analyze the relationship between leading energy commodities and energy blockchain-based crypto markets.

Bitcoin is among the highest rated digital crypto-currency in financial investment markets. This technology relies on a backbone of distributed data architecture and peer-to-peer networking model called Blockchain. Unlike the current digital economy, which is governed centrally by financial institution or governments, Blockchain is fully autonomous without any third-party involvement. The exorbitant success of Bitcoin has attracted investors, scholars as well as organizations to peek into this lucrative technology for the possible application to other areas apart from crypto-currency. Blockchain can adopt Smart Contracts, which are digitally enabled contracts that can be executed and enforced fully or partially using pre-defined notions. The aim of this research is to investigate the synergy between Smart Contract and Blockchain to propose a digital framework for an academic paper publication model that has the capability to automate the entire process and challenge the existing system. It can also bring together all the stakeholders under the same system. The proposed model can further hold the stakeholders accountable for breach of contracts and/or reward them for executing the successes of terms pre-configured in the Smart Contract. The proposed model, called Digital Smart Publication or DSP (as referred in the document), is highly secure and ensures balance in distributing rewards to the involved stakeholders while keeping data integrity and security as paramount features.

Indeed, the value of money laundering globally is between 2% and 5% of the world’s gross domestic product, which represents $800bn to $2tn per year. There is therefore a dire and urgent need to curb money laundering offences at both national and international level. As such, the purposes of this research are to critically analyse the anti-money laundering (AML) laws and regulations of Mauritius, to identify loopholes in inherent in the Mauritian system and to suggest recommendations to enhance the AML laws in the country.

To achieve these research objectives, the study will adopt the black letter methodology by analysing laws and regulations on AML of Mauritius and will also conduct a comparative analysis against the corresponding AML laws of South Africa. In fact, South Africa has been selected for the comparison to assess how Africa’s most powerful economic powerhouse is dealing with issues of money laundering and whether Mauritius may implement some of these measures to enhance its legal and regulatory framework on AML.

The research sets out a comprehensive view on the AML legislative framework of South Africa and Mauritius. It has highlighted the mechanisms used in these two countries to combat money laundering is the risk-based approach. Finally, recommendations have been proposed to improve the existing AML frameworks of Mauritius and which can further protect the financial system of the country. However, these suggestions will depend on the evolution of financial crimes within and outside the jurisdiction, and ongoing amendments will always be required to rigidly protect Mauritius from money launderers.

At present, to the best of the authors’ knowledge, this study will be amongst the first academic writings on the effectiveness of the legal and regulatory measures undertaken by the Mauritian authorities to deal with AML crimes in the country. The study is carried out with the aim of combining a large amount of empirical, theoretical and factual information that can be of use to various stakeholders and not only to academics.

This paper aims to identify the factors affecting university students’ behavioral intentions towards adopting the new Facebook currency while controlling for the direct and the moderating impacts of narcissism.

A self-administered questionnaire of 344 respondents from six major Palestinian universities was analyzed. The structural model is fitted for assessing the hypothesized relations.

Findings indicate that the effect of Facebook advertisement in predicting the behavioral intentions to adopt the new Facebook currency relies on: privacy, security, the expectations in the new Facebook currency and knowledge about the targeting options within the Facebook platform. Moreover, the moderating role of narcissism supported the relationships between perceived privacy, the expectations in the new Facebook currency and knowledge about the targeting options within the Facebook platform but did not support the moderating role of narcissism in the relationships between perceived security and the behavioral intentions.

In this study, only the Facebook platform and the behavioral intention were investigated with data collected from Palestinian University students through self-reported cross-sectional survey.

This study adds insight on the moderating role of narcissism in predicting the behavior intentions towards adopting the new Facebook currency (Diem) which has a substantial potential to threaten all other crypto currencies and the other alternatives. Therefore, managers should consider altering or adapting their Facebook advertising tactics accordingly.

This study is the first to contribute through empirical evidence from a developing country to theory building the results of clarifying the propensity to adopt the new Facebook currency, outlining the consumers’ reaction to social media advertising and its influential factors and providing evidence proving relevance of narcissism for non-Western users.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2021-0666

The purpose of this paper is to investigate the emergence of blockchain to determine its feasibility for electronic transfer payments. An integrated conceptual framework is developed for blockchain electronic transfer. The three “markers” of classic money (store of value, medium of exchange and unit of account and efficiency) are assessed in the case of blockchain technology. A survey is also conducted among the executives of financial vs manufacturing sectors with respect to five major variables for the emerging distributed financial data based on blockchain.

Conducting a literature review and using prior knowledge from the works of those well-versed and knowledgeable in the field. This research is also supported by collecting and analyzing the results of a behavioral survey of the executives in two different industries.

Blockchain technology has the potential to have widespread change in how firms operate and implement a new method for electronic payments transfer through cryptocurrencies. Although the community for blockchain technology is deregulated and has drawbacks, it is expected that the limitations will gradually be mitigated through its growth. The results of the behavioral survey show that there are significant differences between the expectations/perceptions of participants in the sectors of finance vs manufacturing. Namely, the knowledge/awareness of participants about blockchain, the value-added convenience for end users, and participants’ willingness to embracing and accepting new applications are significantly different between the two sectors.

The reach and applications for Blockchain are not limited to business or any particular sector. Blockchain technology may contribute to the operations of different types of organizations and industry sectors. Since the perception of participants about blockchain is different between selected industries, this research suggests the need for more education and building awareness among the participants in different sectors of the economy.

The purpose of this paper is to explore the relationship between Dow Jones Islamic Market World Index, Islamic gold-backed cryptocurrencies and halal chain in the presence of state (regime) dynamics.

The authors have used the Markov-switching model to identify bull and bear market regimes. Moreover, the dynamic conditional correlation, the Baba, Engle, Kraft and Kroner- generalized autoregressive conditional heteroskedasticity and the wavelet coherence models are applied to detect the presence of spillover and contagion effects.

The findings indicate various patterns of spillover between halal chain, Dow Jones Islamic Market World Index and Islamic gold-backed cryptocurrencies in high and low volatility regimes, especially during the COVID-19 pandemic. Indeed, the contagion dynamics depend on the bull or bear periods of markets.

These present empirical findings are important for current and potential traders in gold-backed cryptocurrencies in that they facilitate a better understanding of this new type of assets. Indeed, halal chain is a safe haven asset that should be combined with Islamic gold-backed cryptocurrencies for better performance in portfolio optimization and hedging, mainly during the COVID-19 period.

To the best of the authors’ knowledge, this paper is the first research on the impact of the halal chain on the Dow Jones Islamic Market World Index return, Islamic gold-backed cryptocurrencies returns in the bear and bull markets around the global crisis caused by the COVID-19 pandemic.

This paper aims to explore the challenge posed by Bitcoin to regulators, particularly anti-money laundering regulators. Bitcoin is a crypto-currency based on open-source software and protocols that operates in peer-to-peer networks as a private irreversible payment mechanism. The protocol allows cross-border payments, for large and small items, with little or no transactional costs.

Case studies and case law are examined as are relevant reports by regulators.

Bitcoin is based on complex computer code supported by a robust community in a peer-to-peer network. Unlike other virtual currencies, Bitcoin appears to have obtained purchase and as such poses unique challenges to regulators.

Bitcoin is at a nascent stage and the evolution of the virtual currency is difficult to predict.

Those who study financial systems, anti-money laundering regimes and asset forfeiture laws will have an interest in this topic.

This is a new and emerging currency; there is limited literature on the implications of this currency to anti-money laundering systems.