2020
DOI: 10.3390/risks8020034
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Financial Bubbles: A Study of Co-Explosivity in the Cryptocurrency Market

Abstract: Cryptocurrencies have recently captured the interest of the econometric literature, with several works trying to address the existence of bubbles in the price dynamics of Bitcoins and other cryptoassets. Extremely rapid price accelerations, often referred to as explosive behaviors, followed by drastic drops pose high risks to investors. From a risk management perspective, testing the explosiveness of individual cryptocurrency time series is not the only crucial issue. Investigating co-explosivity in the crypto… Show more

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Cited by 46 publications
(26 citation statements)
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“…Thus, XLM can be viewed as a bridge between the two clusters. The evidence of two clusters with highly correlated features around ETH and BTC corroborates with the results by Bouri et al (2019) and Agosto and Cafferata (2020). From an economic viewpoint, this confirms the different nature of the two groups of crypto assets with (ETH, TRX, XRP) constituting the "professional/technical" assets, while (BTC, EOS, LTC) forms the "speculative" cryptocurrencies.…”
Section: Edc For Cryptocurrenciessupporting
confidence: 85%
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“…Thus, XLM can be viewed as a bridge between the two clusters. The evidence of two clusters with highly correlated features around ETH and BTC corroborates with the results by Bouri et al (2019) and Agosto and Cafferata (2020). From an economic viewpoint, this confirms the different nature of the two groups of crypto assets with (ETH, TRX, XRP) constituting the "professional/technical" assets, while (BTC, EOS, LTC) forms the "speculative" cryptocurrencies.…”
Section: Edc For Cryptocurrenciessupporting
confidence: 85%
“…The above considerations suggest that tail risk is to be taken into account, in the calculation of both systematic and systemic risk measures for crypto assets, in line with our proposed methodology, and consistently with what remarked by Bouri et al (2019) and Agosto and Cafferata (2020) in the context of price bubble determination. In the next subsection, we show our main empirical findings.…”
Section: Empirical Findingssupporting
confidence: 84%
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