星期对金融市场的影响:对加密货币的实证调查

S. Arzova, Ayben Koy, B. Sahin
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引用次数: 0

摘要

目的本研究调查了星期对加密货币波动性的影响。因此,我们揭示了投资者对星期几的看法。设计/方法/途径EGARCH模型由2019-2022年的星期几和11种加密货币的波动率组成。研究结果实证结果表明,周末会损害加密货币的波动性。此外,加密货币波动率在周初为正。我们的研究结果表明,工作日和周末对加密货币的波动性有重大影响。此外,加密货币投资者在一周内对市场动向、信息披露和法规非常敏感。假日模式和认知捷径可能会导致加密货币交易者在周末保持被动。我们将 11 种加密货币纳入分析范围,并根据市值对加密货币进行了限制。进一步的研究可能会分析更大的样本。实践意义实证结果从不同方面得出了研究、社会和实践结论。我们的分析可能有助于确定加密货币市场的交易策略、风险管理、市场效率、监管监督和投资决策。然而,加密货币的工作日和周末效应还需要充分分析。此外,分析加密货币波动性的研究也很有限。我们利用大样本和当前数据研究了一周内的天数对加密货币波动性的影响,为相关文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of the day of the week on the financial market: an empirical investigation on cryptocurrencies
PurposeThis study investigates the effect of the day of the week on the volatility of cryptocurrencies. Thus, we reveal investors' perceptions of the day of the week.Design/methodology/approachThe EGARCH model consists of the day of the week for 2019–2022 and the volatility of 11 cryptocurrencies.FindingsEmpirical results show that the weekend harms cryptocurrency volatility. Also, there was positive cryptocurrency volatility at the beginning of the week. Our findings show that weekdays and weekends significantly impact cryptocurrency volatility. Besides, cryptocurrency investors are sensitive to market movements, disclosures, and regulations during the week. Holiday mode and cognitive shortcuts may cause cryptocurrency traders to remain passive on weekends.Research limitations/implicationsThis study has some limitations. We include 11 cryptocurrencies in the analysis by limiting cryptocurrencies according to market capitalizations. Further studies may analyze a larger sample. In addition, further studies may examine the moderator and mediator effects of other financial instruments.Practical implicationsThe empirical results have research, social and practical conclusions from different aspects. Our analysis may contribute to determining trading strategies, risk management, market efficiency, regulatory oversight, and investment decisions in the cryptocurrency market.Originality/valueThe calendar effect in financial markets has extensive literature. However, cryptocurrencies' weekday and weekend effect needs to be adequately analyzed. Besides, studies analyzing cryptocurrency volatility are limited. We contribute to the literature by investigating the impact of days of the week on cryptocurrency volatility with a large sample and current data.
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