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Introduction: As internet and communication technologies are getting developed, the commercial transaction is becoming more electronic. This change also brings new approaches to new payment mechanisms like emergence of crypto currencies. They are virtual and digital currencies which can only be used in electronic environment but they are increasingly treated as a new payment and investment tool. Nevertheless, their use has not spread into the general public, yet. At this point, it will better to take the complex nature of the crypto currencies into consideration because it may still lead to some risks for people and the type of the risks perceived by consumers may influence their attitudes toward and intention to use crypto currencies.

Aim: Accordingly, this study attempts to examine the interaction between perceived risk, attitudes toward and intention to use crypto currencies within the context of Bitcoin, as the first crypto currency.

Method: This study was designed as a causal research. The sample of the study was reached by using convenience sampling method and data were collected with survey. The compiled data were tested with Structural Equation Model.

Findings: A statistically significant and negative relationship was found between perceived financial, time and psychological risk and attitudes toward the use of Bitcoin, and a statistically significant and positive relationship was found between attitudes toward and intention to use Bitcoin. The findings of the study are expected to contribute to both relevant literature and practice by explaining the financial behavior of the individuals within the context of perceived risk theory.

This study aims to explain how cryptocurrency is leveraged for illicit purposes across the global financial system. Specifically, it establishes how cryptocurrency has been changing the nature of transnational and domestic money laundering (ML). It then assesses the effectiveness of conventional anti-money laundering (AML) policy and legislation against the proliferation of crypto laundering, using Canada as a critical case study.

Data was collected from court cases and secondary sources to build cross-case trends of cryptocurrency use in ML. Illicit International Political Economy forms the theoretical foundation for this study, whose contribution is situated in the current literature on crypto-ML.

This study finds that Bitcoin is common among crypto-money launderers, though most also use some form of alt-coin, and that the use of third-party currency exchanges is a prevalent method to create illicit funds and conceal proceeds of crime. The findings validate two hypotheses that illicit use of crypto is prevalent in the first two stages of ML, and that crypto is most often used in conjunction with other fiat currencies. Although law enforcement is improving on monitoring and understanding popular cryptocurrencies such as Bitcoin, alt-coins pose a significant challenge for criminal intelligence. New regulations for third-party currency exchanges are having a positive impact on curtailing crypto-laundering but are shown to be insufficient per se to contain the use of crypto in criminal activity.

This study contributes to a more robust understanding of the use of virtual currency in transnational and domestic ML. It contributes to an emerging body of literature on the role of technological change in enabling the global flow of illicit funds. It also informs public policy on virtual currency in general, and on AML regulation in Canada in particular.

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.

Free banking theory, as developed in Adam Smith’s 1776 treatise, “The Wealth of Nations” is a useful tool in determining the extent to which the “invisible hand of the market” should prevail in regulatory policy. The purpose of this study is to provide a timely review of the literature, evaluating the theory’s relevance to regulation of financial technology generally and cryptocurrencies (cryptos) specifically.

The methodology is qualitative, applying free banking theory as developed in the literature to technology-defined environments. Recent legislative developments in the regulation of cryptocurrencies in the UK, European Union and the USA, are drawn upon.

Participants in volatile cryptocurrency markets should bear the consequences of inadvisable investments in accordance with free banking theory. The decentralised nature of cryptocurrencies and the exchanges on which these are traded militate against coordinated oversight by central banks, supporting a qualified free banking approach. Differences regarding statutory definitions of cryptos as units of exchange, tokens or investment securities and the propensity of these to transition between categories across the business cycle render attempts at concerted classification at the international level problematic. Prevention of criminality through extension of Suspicious Activity Reporting to exchanges and intermediaries should be the principal objective of policymakers, rather than definitions of evolving products that risk stifling technological innovation.

The study proposes that instead of a traditional regulatory approach to cryptos, which emphasises holders’ safety and compensation, a free banking approach combined with a focus on criminality would be a more effective and pragmatic way forward.

The purpose of this paper is to examine potential financial accounting treatments for cryptocurrencies, including the current guidance, and compare the benefits and shortcomings of each method. It proposes the introduction and use of an intangible asset revaluation model. The study aims to inform both standard setters and financial statement preparers of the most appropriate accounting treatment of this digital asset.

This paper uses an exploratory analysis and conceptualizes each technical treatment option. For each potential treatment, this paper describes the technical accounting guidance and financial statement implications. The study also uses an illustration to compare the outcomes of each treatment option.

This paper provides insights into the most appropriate financial accounting treatment of cryptocurrencies. Findings indicate the best option is an intangible asset revaluation model that allows firms to elect a fair value option and record fluctuations in market value to other comprehensive income. This model would improve the accuracy of asset numbers while maintaining the relevance of income amounts by preventing large gains or losses from fair value fluctuations from flowing through the income statement.

The number of firms that hold cryptocurrencies on their balance sheet remains small, thus the research is limited to anecdotal and expository analysis.

The study includes implications for accounting standard setters as they continue to deliberate the appropriate financial accounting treatment for cryptocurrencies. The study can inform the standard setting process and impact future authoritative guidance.

The use of cryptocurrency is extremely popular among individual investors and consumers. Updating accounting guidance on crypto can help support a robust crypto market through a useful, informative approach to measurement and reporting. This can also aid in improving the economic prosperity of crypto investors.

This paper fulfills an identified need to examine and understand appropriate accounting guidance for cryptocurrencies. Current guidance has been deemed ineffective and there is debate regarding the proper treatment moving forward. This paper contextualizes this debate and provides suggested solutions.

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.

Technology has changed the future of money. The need to foster innovation in banking has been instigated by a shift from traditional finance provided by incumbents to fintech companies, such as challenger banks and decentralized platforms, offering new forms of money and payments services. The Bank of England has responded to this shift with the exploration of a Central Bank Digital Currency (CBDC), which in its retail form, would give the public the opportunity for the first time to directly hold state central bank money. This CBDC proposal emerges in a landscape where private money such as cryptocurrencies are increasing in capacity of coins and in trading volume; in a crypto economy with an expanding market capital. This competition opens the possibilities to reform banking to adapt to new payments platforms such as blockchains with advanced features such as smart contracts. The proposed design of a CBDC can either compete or complement such innovations which is evaluated in this review chapter. The author argues that the plethora of public and private currencies on the market, once reached legal maturity in terms of governance, can provide the element of choice to consumers in an open, innovative, and competitive free market. The author put forward that the Bank of England must act to introduce a CBDC that is interoperable with innovative payment platforms including blockchains, accompanied by a user centric design, to participate in the ever adapting fintech economy.

This chapter examines some emerging topics and trends as it connects cryptoassets to accounting, auditing, and financial reporting. It discusses the treatment of cryptoassets from a financial reporting perspective under the US and international accounting standards, frequently asked questions about auditing and attestation, and potential best practices for auditing various cryptoassets. It also discusses accounting for now and potential in the future. The chapter outlines how the rapidly changing cryptoasset landscape could lead to differentiated accounting treatment and audit best practices for practitioners seeking to attest to certain aspects of cryptoassets.

This paper assesses the co-movement between Pax gold and six fiat currencies. It also investigates the optimal time-varying hedge ratios in order to examine the properties of Pax gold as a diversifier and hedge asset.

This paper examines the volatility spillover between Pax gold and fiat currencies using the framework of wavelet analysis, BEKK-GARCH models and Range DCC-GARCH. Moreover, this paper proposes to use the covariance and variance structure obtained from the new range DCC-GARCH framework to estimate the time-varying optimal hedge ratios, the optimal weighs and the hedging effectiveness.

Wavelet coherence method reveals that, at low frequency, large zone of co-movements appears for the pairs Pax gold/EUR, Pax gold/JPY and Pax gold/RUB. Further, the BEKK results show unidirectional (bidirectional) transmission effects between Pax gold and EUR, GBP, JPY and CNY (INR, RUB) fiat currencies. Moreover, the Range DCC results show that the Pax gold and the fiat currency returns are weakly correlated with low coefficients close to zero. Thus, Pax gold seems to serve as a safe haven asset against the systematic risk of fiat currency markets. In addition, the results of optimal weights show that rational investor should invest more in Pax gold and less in fiat currencies. Concerning the hedge ratios results, the findings reveal that the INR (JPY) fiat currency appears to be the most expensive (cheapest) hedge for the Pax-gold market. However, the JPY’s fiat currency appears to be the cheapest one. As for hedging effectiveness results, the authors found that hedging strategies including fiat currencies–Pax gold pairs are most likely to sharply decrease the portfolio’s risk.

A comprehensive understanding of the relationship between Pax Gold and fiat currencies is crucial for refining portfolio strategies involving cryptocurrencies. This research underscores the significance of grasping volatility transmissions between these currencies, providing valuable insights to guide investors in their decision-making processes. Moreover, it encourages further exploration into the interdependencies of digital currencies. Additionally, this study sheds light on effective contagion risk management, particularly during crises such as Covid-19 and the Russia–Ukraine conflict. It underscores the role of Pax Gold as a safe-haven asset and offers practical guidance for adjusting portfolios across various economic conditions. Ultimately, this research advances our comprehension of Pax Gold’s risk-return profile, positioning it as a potential hedge during periods of uncertainty, thereby contributing to the evolving literature on cryptocurrencies.

This study’s primary value lies in its pioneering empirical examination of the time-varying correlations and scale dependence between Pax Gold and fiat currencies. It goes beyond by determining optimal time-varying hedge ratios through the innovative Range-DCC-GARCH model, originally introduced by Molnár (2016) and distinguished by its incorporation of both low and high prices. Significantly, this analysis unfolds within the unique context of the Covid-19 pandemic and the Russian–Ukrainian conflict, marking a novel contribution to the field.