稳定币的套期保值作用

Q1 Economics, Econometrics and Finance Intelligent Systems in Accounting, Finance and Management Pub Date : 2023-02-01 DOI:10.1002/isaf.1528
Yosuke Kakinuma
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引用次数: 1

摘要

加密货币价格的剧烈波动使投资者难以维持稳定的资产价值。本研究调查了与美元挂钩的稳定币对比特币回报的套期保值特性。我们使用动态条件相关性——广义自回归条件异方差、伪变量回归、向量自回归和脉冲响应函数,分析了三种最大稳定币——Tether、USD Coin和Binance USD——的对冲能力。我们发现,稳定币通常与比特币回报呈负相关,这表明它们可以成为对抗高波动加密资产的有效对冲工具。在稳定币中,币安美元提供了最大的风险降低,而Tether在新冠肺炎危机期间是一个疲软的避风港。加密货币投资者可以通过持有稳定币来分散投资组合。
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Hedging role of stablecoins

Wild price fluctuations of cryptocurrencies make it difficult for investors to maintain stable asset values. This study investigates the hedging properties of US dollar (USD)-pegged stablecoins against bitcoin returns. We analyzed the hedging abilities of the three largest stablecoins—namely, Tether, USD Coin, and Binance USD—using the dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity, dummy variable regression, vector autoregression, and impulse response functions. We found that stablecoins are generally negatively correlated with bitcoin returns, indicating that they can be effective hedging instruments against high-volatility crypto assets. Among the stablecoins, Binance USD offers the largest risk reduction, and Tether was a weak safe haven during the COVID-19 crisis period. Crypto investors can diversify their portfolios by holding stablecoins.

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来源期刊
Intelligent Systems in Accounting, Finance and Management
Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance
CiteScore
6.00
自引率
0.00%
发文量
0
期刊介绍: Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.
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