Realized Volatility Spillover Connectedness among the Leading European Currencies after the End of the Sovereign-Debt Crisis: A QVAR Approach

Q4 Business, Management and Accounting Journal of Risk and Financial Management Pub Date : 2024-08-05 DOI:10.3390/jrfm17080337
Michail Nerantzidis, Nikolaos Stoupos, Panayiotis Tzeremes
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Abstract

This paper examines the time-varying spillover effects and connectedness between the euro and other EU and non-EU currencies after the end of the sovereign-debt crisis. We employ the Quantile Vector Autoregression connectedness approach using intraday data for seven currencies (the euro, the British pound, the Swiss franc, the Polish zloty, the Hungarian forint, the Czech koruna, and the Norwegian krone) spanning from 1 January 2016 to 30 November 2022. The results indicate that, almost in all quantiles, the currencies of Eastern European Group countries (i.e., Czech Republic, Hungary, and Poland) are net contributors of information spillovers to other currencies, while currencies of non-EU countries (Switzerland, UK, and Norway) are net takers. Further, we find that the euro is the highest transmitter of net information spillovers to all other currencies until 2021. Interestingly, after 2021, the euro changes to net information spillover taker from all other currencies; highlighting that external shocks (e.g., COVID-19, the energy crisis) have significant risk spillover effects on the European currency market. Policymakers and market participants could benefit from knowing which currency drives developments to avoid unexpected consequences.
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主权债务危机结束后欧洲主要货币之间的已实现波动溢出关联性:QVAR 方法
本文研究了主权债务危机结束后欧元与其他欧盟和非欧盟货币之间的时变溢出效应和关联性。我们利用从 2016 年 1 月 1 日至 2022 年 11 月 30 日的七种货币(欧元、英镑、瑞士法郎、波兰兹罗提、匈牙利福林、捷克克朗和挪威克朗)的盘中数据,采用了量子向量自回归关联性方法。结果表明,几乎在所有量级上,东欧集团国家(即捷克共和国、匈牙利和波兰)的货币都是其他货币信息溢出的净贡献者,而非欧盟国家(瑞士、英国和挪威)的货币则是净接受者。此外,我们还发现,在 2021 年之前,欧元是所有其他货币净信息溢出的最大传递者。有趣的是,2021 年之后,欧元变成了所有其他货币的净信息溢出接受者;这凸显了外部冲击(如 COVID-19、能源危机)对欧洲货币市场具有显著的风险溢出效应。政策制定者和市场参与者可以从了解哪种货币推动发展中获益,以避免意想不到的后果。
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来源期刊
CiteScore
4.50
自引率
0.00%
发文量
512
审稿时长
11 weeks
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