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The cryptocurrency market has experienced stunning growth, with market value exceeding USD 1.5 trillion. We use a DCC-MGARCH model to examine the return and volatility spillovers across three distinct classes of cryptocurrencies: coins, tokens, and stablecoins. Our results demonstrate that...
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This paper analyzes high-frequency estimates of good and bad realized volatility of Bitcoin. We show that volatility …
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This paper studies the behaviour of Bitcoin returns at different sample frequencies. We consider high frequency returns … Bitcoin returns at or above one day, though, we find predictability for sample frequencies up to 6 h. Predictability of … Bitcoin returns is also found to be time-varying. We also study the behaviour of the realized volatility of Bitcoin. We …
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