Does news related to digital economy and central bank digital currency affect digital economy ETFs? Evidence from TVP-VAR connectedness and wavelet local multiple correlation analyses

IF 5.5 2区 经济学 Q1 BUSINESS, FINANCE Global Finance Journal Pub Date : 2024-05-23 DOI:10.1016/j.gfj.2024.100992
Mohammad Enamul Hoque , Mabruk Billah , Md Rafayet Alam , Brian Lucey
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Abstract

The rapid and widespread digitalization of economies warrants a better understanding of its impact on society and economy. This study contributes to this new but important research agenda by examining how news on digitalization affects digital economy related exchange traded funds (ETFs). For this purpose, we first construct a digital economy attention index by utilizing Google Search Volume Index for several keywords. Then, using this index and two other indices that represent attention and uncertainty related to central bank digital currency (CBDC), we examine the time-varying connectedness and correlations between these three indices and digital economy ETFs. Our TVP-VAR frequency connectedness analysis shows that attention to and uncertainty around the CBDC and digital economy have strong connectedness with the ETFs in the short-term. The analysis also shows that CBDC and digital economy indices are mainly net transmitters of shocks while the majority of the ETFs are the net receivers of the shocks. The results of our wavelet local multiple correlation (WLMC) analysis show that the correlations between ETFs, digital economy and CBDC indices are time- and frequency-dependent. Moreover, both connectedness and correlations are affected by CBDC-related global events and COVID-19 pandemic. The time- and frequency-dependent relation requires active management of the portfolios containing digital economy related assets.

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与数字经济和央行数字货币相关的新闻会影响数字经济ETF吗?来自 TVP-VAR 关联性和小波局部多重相关性分析的证据
随着经济数字化的迅速普及,我们有必要更好地了解其对社会和经济的影响。本研究通过考察数字化新闻如何影响与数字经济相关的交易所交易基金(ETF),为这一全新而重要的研究议程做出了贡献。为此,我们首先利用多个关键词的谷歌搜索量指数构建了数字经济关注指数。然后,利用该指数和另外两个代表央行数字货币(CBDC)相关关注度和不确定性的指数,我们研究了这三个指数与数字经济 ETF 之间的时变关联性和相关性。我们的 TVP-VAR 频率关联性分析表明,围绕 CBDC 和数字经济的关注度和不确定性与 ETF 在短期内具有很强的关联性。分析还显示,CBDC 和数字经济指数主要是冲击的净传播者,而大多数 ETF 是冲击的净接收者。我们的小波局部多重相关性(WLMC)分析结果表明,ETF、数字经济和 CBDC 指数之间的相关性取决于时间和频率。此外,连通性和相关性都受到 CBDC 相关全球事件和 COVID-19 大流行的影响。这种时间和频率依赖关系要求对包含数字经济相关资产的投资组合进行积极管理。
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来源期刊
Global Finance Journal
Global Finance Journal BUSINESS, FINANCE-
CiteScore
7.30
自引率
13.50%
发文量
106
审稿时长
53 days
期刊介绍: Global Finance Journal provides a forum for the exchange of ideas and techniques among academicians and practitioners and, thereby, advances applied research in global financial management. Global Finance Journal publishes original, creative, scholarly research that integrates theory and practice and addresses a readership in both business and academia. Articles reflecting pragmatic research are sought in areas such as financial management, investment, banking and financial services, accounting, and taxation. Global Finance Journal welcomes contributions from scholars in both the business and academic community and encourages collaborative research from this broad base worldwide.
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