This study aims to investigate the co-movement and Granger causality between Bitcoin prices (BTC) and M2 (cash, demand, and time deposits), inflation, and economic policy uncertainty (EPU) in the U.K. and Japan. It uses monthly data from 31 July 2010 to 30 August 2020 and employs the wavelet coherence method, Toda-Yamamoto, and nonlinear Granger-causality tests. The empirical results show that (i) Bitcoin prices influence M2 and interact with inflation and EPU. In the short term, inflation affects Bitcoin price positively, supporting Bitcoin as an inflation hedged instrument in Japan. Both in Japan and the U.K., the short-term effects of M2 on Bitcoin prices are negative, while EPU's effects on Bitcoin prices are positive, (ii) a bidirectional Toda-Yamamoto Granger causality exists between Bitcoin prices, inflation, and EPU and confirms that M2 affects Bitcoin prices, (iii) a nonlinear bidirectional causality exists between Bitcoin prices and inflation. While Bitcoin prices Granger cause M2 in the U.K. and Japan, inflation shows a nonlinear Granger causality with EPU in Japan. These findings help investors make investment decisions while considering the effects of M2, inflation, and EPU, and monetary authorities and policymakers make policies involving Bitcoin.
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http://dx.doi.org/10.1016/j.heliyon.2022.e11178 | DOI Listing |
PLoS One
December 2024
SGH Warsaw School of Economics, Warsaw, Poland.
The study examines different graph-based methods of detecting anomalous activities on digital markets, proposing the most efficient way to increase market actors' protection and reduce information asymmetry. Anomalies are defined below as both bots and fraudulent users (who can be both bots and real people). Methods are compared against each other, and state-of-the-art results from the literature and a new algorithm is proposed.
View Article and Find Full Text PDFHeliyon
October 2024
Department of Business Administration, IQRA University, Karachi, 75300, Pakistan.
The current digital innovation, health crisis, together with catastrophic economic and financial events have disturbed both digital and conventional asset markets that caused drastic change in investment avenues. Therefore, the purpose of this study is to investigate the connectedness between Non-Fungible Token (NFTs), Decentralized Finance (DeFi) assets, and housing market by applying Quantile connectedness of Ando et al. [27]with extreme tail of distribution technique.
View Article and Find Full Text PDFPLoS One
November 2024
Faculty of Finance and Banking, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
This study delves into the impact of reversals and investor attention on cryptocurrency returns before and during the COVID-19 pandemic. We employ the Two Stages Least Squares to analyze a sample of the top 20 cryptocurrencies from January 2016 to April 2021. Our results reveal that investor attention positively influences bitcoin returns in both periods, with a more pronounced effect during the pandemic.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Business, Lebanese American University, Lebanon; Korea University Business School, Seoul, South Korea. Electronic address:
This study examines the multifaceted return interdependence between green bonds and various assets and markets (conventional bonds, Islamic and conventional stocks, Bitcoin, Ethereum, crude oil, and gold), covering various market conditions. Daily data are from January 11, 2016 to February 12, 2024, and the methods employed include quantile-on-quantile return connectedness (QQC), cross-quantilogram (CQ), and Granger causality in quantiles (GC), which allow us to make inferences about the safe-haven ability of green bonds. The QQC results establish that the connectedness at directly related quantiles is more pronounced than those of inversely related quantiles for all cases.
View Article and Find Full Text PDFJMIR Form Res
November 2024
National Research University Higher School of Economics, Moscow, Russian Federation.
Background: Studying illicit drug circulation and its effects on population health is complicated due to the criminalization of trade and consumption. Illicit drug markets have evolved with IT, moving digital to the "darknet." Previous research has analyzed darknet market listings and customer reviews.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!