2023
DOI: 10.3390/jrfm16020136
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Demystifying the Effect of the News (Shocks) on Crypto Market Volatility

Abstract: The cryptocurrency market has enormous growth potential. In this study, the aim is to investigate how the news (shocks) affects cryptocurrency market volatility. This is significant because, while cryptocurrencies are gaining popularity among investors, the market’s extreme volatility discourages some prospective buyers, while also causing large losses for inexperienced investors. From 8 March 2019 to 30 November 2022, data from Bitcoin, Binance Coin, Ethereum, Dogecoin, and XRP were collected for the current … Show more

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Cited by 29 publications
(3 citation statements)
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“…Asian citizens, on the other hand, are not so keen on this issue. In technologically developed Asian countries, such as Japan, citizens are more comfortable using new technology and better integrating digital skills into their daily lives [31,32].…”
Section: The Concept Of Problem Solvingmentioning
confidence: 99%
See 1 more Smart Citation
“…Asian citizens, on the other hand, are not so keen on this issue. In technologically developed Asian countries, such as Japan, citizens are more comfortable using new technology and better integrating digital skills into their daily lives [31,32].…”
Section: The Concept Of Problem Solvingmentioning
confidence: 99%
“…In other countries there may be criminal prosecutions, while in countries with totalitarian regimes the penalties are really significant. In any case, citizens must acquire the skills to recognize truthful news from fake news [32].…”
Section: The Concept Of Information and Data Knowledgementioning
confidence: 99%
“…In line with this, several scholars (Pacheco 2022;Inacio and David 2022;Le et al 2021;Jawadi et al 2020) evaluated the impact of market shock on oil price and oil-exporting countries. Similarly, market shock on the crypto-currency market (Bhatnagar et al 2023;Fernandes et al 2022;Agosto and Cafferata 2020;Ftiti et al 2021b) and exchange rate market (Narayan 2020(Narayan , 2022Jawadi et al 2019) has been well investigated in the literature from the classical approach of measuring volatility using univariate GARCH models (Alberg et al 2008;Teräsvirta 2009;Awartani and Corradi 2005;Franses and Van Dijk 1996) to modern methods (Bouzgarrou et al 2023) such as the NARDL model, vector machine model (Awijen et al 2023), quantile regression (Živkov et al 2020), and artificial neural networks (Sarfaraz et al 2023). The evaluation of different market shocks on financial markets is still continuing.…”
Section: Volatility In Emerging and Developed Marketsmentioning
confidence: 99%