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-daily seasonality pattern, and an abnormal trade- and volatility intensity at Thursdays and Fridays. We find no predictability for … Bitcoin returns is also found to be time-varying. We also study the behaviour of the realized volatility of Bitcoin. We … document a remarkable high percentage of jumps above 80% . We also find that realized volatility exhibits: (i) long memory; (ii …
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This paper analyses the explanatory power of the frequency of abnormal returns in the FOREX for the EURUSD, GBRUSD, USDJPY, EURJPY, GBPCHF, AUDUSD and USDCAD exchange rates over the period 1994-2019. Abnormal returns are detected using a dynamic trigger approach; then the following hypotheses...
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This paper analyses the explanatory power of the frequency of abnormal returns in the FOREX over the period 1994-2019. The following hypotheses are tested: frequency of abnormal returns is asignificant driver of price movements (H1); it does not exhibit seasonal patterns (H2); it is stable over...
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