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While attention is a predictor for digital asset prices, and jumps in Bitcoin prices are well-known, we know little about its alternatives. Studying high frequency crypto data gives us the unique possibility to confirm that cross market digital asset returns are driven by high frequency jumps...
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Multifractal processes reproduce some of the stylised features observed in financial time series, namely heavy tails found in asset returns distributions, and long-memory found in volatility. Multifractal scaling cannot be assumed, it should be established; however, this is not a straightforward...
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cryptocurrency market is well known as very volatile, mainly for the fact that the cryptocurrencies have not the price to fall back … (given by Geometric Brownian Motion). We conclude that the best method for value-at-risk estimation for cryptocurrencies is …
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