The Dynamic Connectedness between Cryptocurrencies and Foreign Exchange Rates: Evidence by TVP-VAR Approach

IF 0.6 Q4 ENGINEERING, INDUSTRIAL Industrial Engineering and Management Systems Pub Date : 2023-09-30 DOI:10.7232/iems.2023.22.3.349
Bashar Yaser Almansour, Md Mohan Uddin, Sabri Elkrghli, Ammar Yaser Almansour
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引用次数: 1

Abstract

We investigate the interconnectedness between major cryptocurrencies and foreign exchange rates. This study employs time-series daily data for the cryptocurrencies and foreign exchange rates closing prices, the data is obtained from investing.com and yahoo finance to cover the period of 10 November 2017 to 18 January 2022. The study adopts the connectedness approach developed by Diebold Yilmaz (2014), using the TVP-VAR model to analyze twelve cryptocurrencies and eight foreign exchange rates. The results reveal a greater degree of connectedness across cryptocurrencies and foreign exchange rates over the whole sample, pre and during the corona pandemic, indicating that the Corona pandemic donates to the increase of volatility spillover across the currency and cryptocurrency markets. The results further show that Ethereum, Bitcoin Cash, Litecoin, Bitcoin, TRON, Cardano and Ripple are the main transmitters of shocks to other cryptocurrencies. Moreover, the EUR/USD, AUD/USD and NZD/USD are the main transmitters of shocks to other foreign exchange rates. The study has significant implications for investors, and portfolio managers. Our results offer evidence to improve financial risk assessment, and portfolio hedging strategies of cryptocurrencies against the uncertainty raised by Covid-19 Pandemic, which our findings may support investors in properly rebalancing their portfolios as the level of uncertainty in the market changes.
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加密货币与外汇汇率之间的动态联系:tpv - var方法的证据
我们研究了主要加密货币与外汇汇率之间的相互联系。本研究采用加密货币和外汇汇率收盘价的时间序列每日数据,数据来自investing.com和雅虎财经,涵盖2017年11月10日至2022年1月18日期间。该研究采用Diebold Yilmaz(2014)开发的连通性方法,使用TVP-VAR模型分析了12种加密货币和8种外汇汇率。结果显示,在冠状病毒大流行之前和期间,整个样本中加密货币和外汇汇率之间的联系程度更高,这表明冠状病毒大流行加剧了货币和加密货币市场的波动性溢出效应。结果进一步表明,以太坊、比特币现金、莱特币、比特币、波场、卡尔达诺和瑞波币是对其他加密货币冲击的主要发射器。此外,欧元/美元、澳元/美元和纽元/美元是对其他外汇汇率冲击的主要传导货币。该研究对投资者和投资组合经理具有重要意义。我们的研究结果为改善金融风险评估和加密货币的投资组合对冲策略提供了证据,以应对Covid-19大流行带来的不确定性,我们的研究结果可能会支持投资者在市场不确定性水平发生变化时适当地重新平衡其投资组合。
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来源期刊
CiteScore
2.20
自引率
28.60%
发文量
45
期刊介绍: Industrial Engineering and Management Systems (IEMS) covers all areas of industrial engineering and management sciences including but not limited to, applied statistics & data mining, business & information systems, computational intelligence & optimization, environment & energy, ergonomics & human factors, logistics & transportation, manufacturing systems, planning & scheduling, quality & reliability, supply chain management & inventory systems.
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