新冠肺炎疫情期间影响比特币市场波动的因素

IF 2 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhunzhun Liu, Lu-Xi Zou
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引用次数: 0

摘要

【摘要】加密货币市场的生态结构及其外部环境影响不容忽视。本研究以比特币为例,基于中美两国政治经济制度的差异,从环境角度分析新冠肺炎大流行危机期间的比特币市场。首先,将本研究选取的制度环境作为环境测度的指标,并将其划分为正规部门和非正规部门。在分析中,前者选择了中国的经济政策不确定性指数,后者选择了比特币的社会关注度(包括谷歌趋势和百度指数)和投资者情绪作为指标。其次,以外汇、商品期货等金融市场数据为指标,分析比特币市场环境。利用VAR建模分析,结果表明制度和市场环境对比特币的市场表现都有影响。关键词:比特币经济政策不确定性社会关注投资者情绪covid -19危机披露声明作者声明,他们没有已知的竞争经济利益或个人关系,可能会影响本文所报道的工作。本研究由[上海市“超级博士后”奖励计划]资助,项目编号[2021175];[江苏省高校哲学社会科学研究项目]资助项目[2021SJA1096];江苏省科技专项基金(软科学创新支撑计划)[no . BR2022011]。作者简介刘准准目前在上海黄金交易所博士后流动站工作,该流动站是上海黄金交易所与复旦大学管理学院联合设立的博士后流动站。她拥有浙江大学工商管理博士学位。这篇论文是她博士论文的副标题。她的研究兴趣包括金融市场基础设施和金融科技,专注于第三方支付和加密货币。邹鲁喜,高级工程师,徐州医科大学管理学院副教授。以第一作者或通讯作者在重要影响因子期刊和Web of Sciences期刊引文报告上发表论文二十余篇。他在信息管理领域有经验。主要研究方向为信息经济、金融科技、机器学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FACTORS INFLUENCING BITCOIN MARKET VOLATILITY DURING THE COVID-19 PANDEMIC CRISIS
ABSTRACTThe ecological structure of the cryptocurrency market and its external environmental impact cannot be ignored. Taking Bitcoin as an example, the study analyzes the Bitcoin market during the COVID-19 pandemic crisis from an environmental perspective based on the differences in the political and economic systems of China and the United States. First, the institutional environment selected in this study is used as an indicator of environmental measurement and divided into formal and informal sectors. In the analysis, the former selects the economic policy uncertainty index of China, while the latter selects bitcoin’s social attention (including Google trends and the Baidu index) and investor sentiment as indicators. Second, financial market data such as foreign exchange and commodity futures are used as indicators for analyzing the environment of the bitcoin market. Using VAR modeling analysis, the results show that both the institutional and the market environment have an impact on bitcoin’s market performance.KEYWORDS: Bitcoineconomic policy uncertaintysocial attentioninvestor sentimentCOVID-19 crisis Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Additional informationFundingThis work was supported by the [Shanghai “Super Postdoctoral” Incentive Program] under Grant [number 2021175]; [Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province] under Grant [number 2021SJA1096]; and [Special Foundation for Science and Technology Program (Soft Science Research for Innovation Support Program) of Jiangsu Province] under Grant [number BR2022011].Notes on contributorsZhunzhun LiuZhunzhun Liu is currently a postdoctoral fellow at the Post-Doctoral Research Centre of the Shanghai Gold Exchange, which is a joint postdoctoral programme with the School of Management of Fudan University. She has a Ph.D. degree in Business Management from Zhejiang University. This paper is a subtopic of her doctoral thesis. Her research interests include Financial Market Infrastructure and FinTech, which focuses on third-party payments and cryptocurrencies.Lu-Xi ZouLu-Xi Zou is a senior engineer, associate professor at the School of Management, Xuzhou Medical University. As first or corresponding author, he has more than twenty papers published in important journals with impact factors and Journal Citation Reports in Web of Sciences. He has experience in the area of Information Management. Her research interests are Information Economy, Fintech, and Machine Learning.
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来源期刊
Journal of Organizational Computing and Electronic Commerce
Journal of Organizational Computing and Electronic Commerce 工程技术-计算机:跨学科应用
CiteScore
5.80
自引率
17.20%
发文量
7
审稿时长
>12 weeks
期刊介绍: The aim of the Journal of Organizational Computing and Electronic Commerce (JOCEC) is to publish quality, fresh, and innovative work that will make a difference for future research and practice rather than focusing on well-established research areas. JOCEC publishes original research that explores the relationships between computer/communication technology and the design, operations, and performance of organizations. This includes implications of the technologies for organizational structure and dynamics, technological advances to keep pace with changes of organizations and their environments, emerging technological possibilities for improving organizational performance, and the many facets of electronic business. Theoretical, experimental, survey, and design science research are all welcome and might look at: • E-commerce • Collaborative commerce • Interorganizational systems • Enterprise systems • Supply chain technologies • Computer-supported cooperative work • Computer-aided coordination • Economics of organizational computing • Technologies for organizational learning • Behavioral aspects of organizational computing.
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