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This study aims to compare investors of major conventional currencies and Bitcoin (BTC) investors by using the value at risk (VaR) method common risk measure.

The paper used a risk analysis named as VaR. The analysis has various computations that Historical Simulation and Monte Carlo Simulation methods were used for this paper.

Findings of the analysis are assessed in two different aspects of singular currency risk and portfolios built. First, BTC is found to be significantly risky with respect to the major currencies; and it is six times riskier than the singular most risky currency. Second, in terms of inclusion of BTC into a portfolio, which equally weights all currencies, it elevates overall portfolio risk by 98 per cent.

In spite of the remarkable risk level, it could be considered that investors are desirous of making an investment on BTC could mitigate their overall exposed risk relatively by building a portfolio.

The paper questions the risk level of Bitcoin, which is a digital currency. BTC, a matter of debate in the contemporary period, is seen as a digital currency free from control or supervision of a regulatory board. With the comparison of major currencies and BTC shows that how could be risky of a financial instrument without regulations. However, there is some advice for investors who would like to invest digital currencies despite the risk level in this study.

Changes in the financial and competitive environment have been a recurring stimulus to corporate reappraisal of foreign exchange risk management (FERM) policy. In 14 UK company cases studied by the author, treasurers identified the following competitive and financial environmental influences on FERM policy.

The purpose of this paper is to identify the determinants for currency internationalization and forecast the potential of RMB as an international reserve currency.

This paper performs linear or non-linear regressions of the shares of eight major international reserve currencies as the reserve assets in global central banks on the macro economic and financial variables of their corresponding countries to identify the determinants for their international positions, and conducts an “counter-factual simulation” for the potential of RMB as an international reserve currency.

This paper finds that the economic size and the “network externalities” are the most important determinants for the international status of a reserve currency; that exchange rate volatility has negative impacts; the conditions for the RMB internationalization are basically available. The simulation for the potential of RMB as an international reserve currency reveals that the international role of RMB could surpass that of the Japanese Yen and the British Pound, and get close to Euro in the coming 15 years. Based on the empirical evidence, this paper suggests a promoting strategy for RMB internationalization.

This paper has not taken the influence of economic systemic and political factors on the process of RMB internationalization into account.

RMB internationalization promotion should follow the strategy of “stably create RMB international demand in the initial period and dramatically release the RMB overseas supply in the latter period” in the coming 15 years.

The conclusions and policy implications are from the results of the empirical analysis on the 45-year historical experience on the eight main international currencies.

Examines the implications of European Monetary Union (EMU) for property managers of operational and investment property portfolios. In the first section, the background to the introduction of a single currency is reviewed and the proposed timetable and method of introducing the Euro is discussed. The next section analyses the property management areas which may be affected by EMU. It is argued that the costs and benefits of the introduction of the Euro will be unequally distributed. Key factors will include the pattern of property interests and liabilities in potential member countries. A key variable will be the rate at which the existing currency is converted to the Euro. This will be a determinant of the future value of assets and liabilities and will, therefore, impact on corporate costs, profitability and competitiveness. The degree to which a firm benefits from the elimination of exchange rate uncertainty and transaction costs will depend on its financial structure. Firms which meet liabilities in non‐sterling currencies from revenues raised in such currencies will not benefit to a great extent. The paper argues that the legal implications for continuity of contract will be minimal for property managers. It is suggested that the need to amend information systems and records will be the major cost to many organisations.

This paper investigates the dependence structure and market risk of the currency exchange rate portfolio from the Malaysian ringgit perspective.

The marginal return of the five major exchange rates series, i.e. United States dollar (USD), Japanese yen (JPY), Singapore dollar (SGD), Thai baht (THB) and Chinese Yuan Renminbi (CNY) are modelled by the Bayesian generalized autoregressive conditional heteroskedasticity (GARCH) (1,1) model with Student's t innovations. In addition, five different copulas, such as Gumbel, Clayton, Frank, Gaussian and Student's t, are applied for modelling the joint distribution for examining the dependence structure of the five currencies. Moreover, the portfolio risk is measured by Value at Risk (VaR) that considers the extreme events through the extreme value theory (EVT).

The finding shows that Gumbel and Student's t are the best-fitted Archimedean and elliptical copulas, for the five currencies. The dependence structure is asymmetric and heavy tailed.

The findings of this paper have important implications for diversification decision and hedging problems for investors who involving in foreign currencies. The authors found that the portfolio is diversified with the consideration of extreme events. Therefore, investors who are holding an individual currency with VaR higher than the portfolio may consider adding other currencies used in this paper for hedging.

This is the first paper estimating VaR of a currency exchange rate portfolio using a combination of Bayesian GARCH model, EVT and copula theory. Moreover, the VaR of the currency exchange rate portfolio can be used as a benchmark of the currency exchange market risk.

In a world of trade among nations using different currencies, every exchange of goods, services, or assets taking place between economic actors of different nations requires an accompanying currency transaction. If foreign exchange rates were fixed, this would be little more than a formality and not a potential source of market distortion. In the current world, however, the currency exchange rates are often very volatile and can affect market prices when viewed from outside the economy. Individuals with risk-averse preferences seek to minimize the potential losses possible from their currency positions through the use of currency hedging tools. When a nation‘s currency hedging instrument (e.g. a currency futures contract) is traded in liquid market, it is easy to hedge the risk posed by holding a foreign currency position. In these market situations, currency futures contracts can be purchased for hedging the currency position. However, when a nation‘s currency hedging instrument is not traded in liquid markets, it is impossible to hedge the risk by the direct hedging. Hence, a proxy for the currencies of small economies (i.e. minor currencies) must be found. This study examines five nations‘ currencies, the Fiji Dollar, Cyprus Pound, Maltese Lira, Taiwanese Dollar, and South Korea Won in order to determine an effective currency futures hedge for the three minor currencies in the above list : the Fiji Dollar, the Cyprus Pound, and the Maltese Lira. The results of this study‘s tests indicate that multiple futures contract hedge proposed in this study is an appropriate hedging tool for both the Fiji Dollar and the Cyprus Pound. In the case of the Maltese Lira, the results are less conclusive and suggest that the selection of the appropriate futures contracts should be improved.

Propensity to dollarize in Latin America in the demand-side of some economies of the region has a strong political risk component which, in the past, was mainly carried out by inflationary pressures. Coping with risk meant holding FCDs. A recursive multilevel model is developed and empirically tested with Colombia’s data to stress a country-specific tendency to dollarize due to political risk. The chapter’s conclusions suggest that consideration of issues, policies and implications inherent to the decision to dollarize cannot ignore that, the solution to any government-enforced dilemma in the supply-side of these economies, is also politically motivated. Results of a survey are also provided.

Incorporating exchange rate fluctuations into the analysis of an international investment substantially alters the expected risk and return characteristics of the investments. With fluctuating rates, the value of a successful investment property could be devastated when converted to the investor′s home currency. This risk should be recognized and incorporated into the investment decision but, as results show, the ultimate strategy may not be periodic adjustments which have been used by many researchers, nor trying to hedge fully as others have suggested, but rather to examine returns in home market currency and leave exchange rate exposure decisions to the currency portfolio managers. Explores the possibilities of mitigating currency risk through several hedging instruments – forward and futures contracts, options, back‐to‐back loans and currency swaps. Results from a survey of international investors are also summarized and comments provide substantial evidence that investors are unsophisticated in dealing with currency questions.

Although there is a growing number concerning articles/papers on China’s ‘One Belt, One Road’ (OBOR), it is difficult to find comprehensive research regarding the economic background in spite of the OBOR initiative involving multi-dimensional considerations. Although China targets to become a soft power leader by reviving the spirit of the old Silk Road, the OBOR is a large-scale investment project, whose rate of investment (ROI) is important for sustainability. Since new infrastructure in isolated regions is likely to be used less frequently, anticipated profitability is low. In spite of this risk, China promotes the OBOR for its economic and political purposes. China will promote the OBOR in spite of the U.S. withdrawal from TPP membership, since boosting aggregate demand is of critical importance for the country. This paper analyzes the economic background of the OBOR, which establishes China’s own model of regional integration, eases unemployment, and internationalizes its currency. Finally, this paper discusses diverse risks for China in the process of implementing the OBOR.

The authors investigate household acceptance of central bank digital currencies (CBDCs) by drawing on the unified theory of acceptance and use of technology and institutional trust theory.

The authors build a research model including six hypotheses and quantitatively analyze it using partial least squares structural equation modeling (PLS-SEM) and importance–performance map analysis (IPMA) based on 282 answers to a survey questionnaire.

The continuous adoption of CBDCs by households is highly probable and is fostered by its expected high performance, the social recommendations and the existence of facilitating conditions. Nevertheless, institutions' efforts to propose a flexible and understandable currency can benefit its adoption only if these institutions also strive to build households' trust in the currency's system.

The authors provide a full review of the emerging literature on CBDCs and suggest that digital currency offerings can be divided into centralized, semi-centralized and de-centralized control in a meaningful taxonomy. The authors also complement extant studies on CBDCs that mostly apprehend its operational challenges by focusing on the customer side and provide implications to the launching of CBDCs by uncovering the customer-specific determinants of their adoption.