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11.
Cryptocurrencies are gradually establishing themselves as a new class of assets with unique features, although there remains skepticism and a lack of understanding of their nature. In this study, we compare the financial properties of these new digital assets and investigate their dynamic relationship with major financial securities and commodities. Furthermore, we evaluate the economic and financial potential benefits of cryptocurrencies for financial investors. Using different time-varying copula approaches and bivariate dynamic conditional correlation GARCH models, we find that the cross-correlation with conventional assets is changing over time but weak, supporting the idea that these cryptocurrencies can be suitable for financial diversification. However, our analysis of portfolios shows that cryptocurrencies are poor hedging instruments in most of the considered cases. Moreover, we find that the relationship between cryptocurrencies and conventional assets is sensitive to external economic and financial shocks. 相似文献
12.
The purpose of this paper is twofold: (i) to investigate some of the main issues surrounding the classification of digital currencies, and (ii) to identify the accounting practices and standards tied to digital currencies. This paper discusses two different types of digital currencies, including: central bank digital currencies (CBDCs) and privately issued cryptocurrencies such as Bitcoin. The findings of this study suggest that current accounting standards do not precisely cover the accounting treatment of digital currencies, even though the estimated value of market capitalisation of cryptocurrency in 2022 was USD 200 billion. This conceptual paper identifies the imminent need for an accounting standard to provide guidance on the identification, classification, measurement, and presentation of digital currencies. In the interim, existing accounting standards can be amended to incorporate digital currencies to avoid inconsistent global accounting approaches. 相似文献
13.
This paper sets out to explore whether the innovative Economic Policy Uncertainty (EPU) index and the safe haven asset of gold influence returns of high-capitalization cryptocurrencies in a non-linear manner. Estimations take place both concerning flourishing and stressed periods in the digital currency markets. Econometric outcomes reveal that the returns of almost half of the cryptocurrencies investigated are tightly connected to the EPU index in bull markets while even more currencies are linked with the index during bear markets. Similar findings are revealed as concerns gold as it proves to be more influential during bear markets due to its hedging capacities. There is also evidence that causality in variance is significant in all but the higher quantile concerning both EPU and gold estimations in both bull and bear markets. 相似文献
14.
In this paper we test for regime changes and possible regime commonalities in the price dynamics of Bitcoin, Ethereum, Litecoin and Monero, as representatives of the cryptocurrencies asset class. Several parametric models are considered for the joint dynamics of the basket price where parameters are modulated through a Hidden Markov Chain with finite state space. Best specifications within Gaussian and Autoregressive models for price differences are selected by means of the AIC and BIC information criteria and through an out-of-sample forecasting performance. The empirical results, within the period January 2016 to October 2019, suggest that three or four states may be relevant to describe the dynamics of each individual cryptocurrency, depending on the selection criteria, while the entire basket displays at most three common states. Finally, we show how the identification of appropriate models may be exploited in order to build profitable investment strategies on the considered cryptocurrencies. 相似文献
15.
In this paper, we investigate the stochastic properties of six major cryptocurrencies and their bilateral linkages with six stock market indices using fractional integration techniques. From the univariate analysis, we observe that for Bitcoin and Ethereum, the unit root null hypothesis cannot be rejected; for Litecoin, Ripple and Stellar, the order of integration is found to be significantly higher than 1; for Tether, however, we find evidence in favour of mean reversion. For the stock market indices, the results are more homogeneous and the unit root cannot be rejected in any of the series, with the exception of VIX where mean reversion is obtained. Concerning bivariate results within the cryptocurrencies and testing for cointegration, we provide evidence of no cointegration between the six cryptocurrencies. Along the same lines, testing for cointegration between the cryptocurrencies and the stock market indices, we find evidence of no cointegration, which implies that the cryptocurrencies are decoupled from the mainstream financial and economic assets. The findings in this paper indicate the significant role of cryptocurrencies in investor portfolios since they serve as a diversification option for investors, confirming that cryptocurrency is a new investment asset class. 相似文献
17.
《Business Horizons》2023,66(4):529-541
This article introduces the next major generational evolution of the web: Web3. We review the fundamental evolution of the internet and the web over the past 3 decades, including a brief presentation of the publications in Business Horizons that are important in a discussion of the emergence of Web3. We then discuss what these recent developments mean to organizations, consumers, and the public. Though the degree to which Web3 will be widely adopted is uncertain, these technologies are already creating both exhilarating and terrifying implications for e-commerce, digital media, online social networking, online marketplaces, search engines, supply chain management, and finance, among others. We propose the consideration and management of technical, organizational, and regulatory interoperability for Web3 to deliver on its promises of value and that failure to consider these interoperability components may destroy economic value, consumer confidence, or social issues online. We also call on our fellow researchers to focus on these interoperability issues and how they might impact the positive and negative sides of Web3 technologies to help us understand and shape our Web3 future. 相似文献
18.
This article aims to find the best safe-haven for stock investors in the American market since the COVID-19 pandemic outbreak. The research period covers March 2020–May 2022. Among the possible alternatives, we analyse the traditional ones: US bonds, gold, and silver, as well as the new ones: stable DeFi and CeFi coins, and most popular cryptocurrencies: Bitcoin and Ether. We study quantile coherency between S&P 500 and each asset and the respective conditional correlation. We show that the safe-haven properties of the assets varied over time and that centralized stablecoins could have been used as safe-haven against American stocks during the pandemics. 相似文献
19.
This study used hourly data to examine the dynamic conditional correlations and hedging strategies in the main cryptocurrency markets: Bitcoin (BTC), Ethereum (ETH), Litecoin (LTC), and Ripple (XRP). Multivariate generalized autoregressive conditional heteroskedasticity family models provided evidence of significant positive dynamic conditional correlations among these markets. A weaker conditional correlation was observed for the LCT–XRP portfolio than for the BTC–ETH portfolio, which had the highest correlation value. The dynamic correlations intensified after the cryptocurrency crisis. The results of a portfolio risk analysis suggested that investors should hold less BTC than LTC, ETH, and XRP to minimize risk while maintaining consistent expected portfolio returns. Investors should hold less BTC than the other cryptocurrencies during a crisis. In addition, the cheapest hedge strategy is to hold long BTC and short XRP regardless of the period. Holding long BTC and short LTC was found to be the most expensive hedge strategy. Finally, the study showed that an optimally weighted diversified portfolio provides the greatest reduction in risk and downside risk for ETH and LTC. For XRP, portfolio hedging is the best mechanism for reducing risk. 相似文献
20.
Andros Gregoriou 《Applied economics letters》2019,26(12):995-998
We demonstrate that investors obtain abnormal returns by trading cryptocurrencies daily on the London Stock Exchange from 2014–2017. Excess returns persist once we account for systematic risk, size, value, momentum, profitability and investment. Investor abnormal returns in cryptocurrencies implies inefficiency. 相似文献