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Granger-causality tests on fourteen cryptocurrencies. …
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cryptocurrencies´ returns determinants and forecast their returns. To handle model uncertainty when modelling cryptocurrencies, we … estimators to explain the cryptocurrencies´ returns. We further introduce a novel model averaging approach or the shrinkage … Mallows model averaging (SMMA) estimator for forecasting. First, we find that the returns for most cryptocurrencies are …
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instinctive reflection of the media hype surrounding the surge of Bitcoin valuations) that cryptocurrencies represent a new asset … changing over time. We estimate such model by looking at the time variation in the exposures of major cryptocurrencies to stock … and computer power). The main empirical results suggest that cryptocurrencies are not systematically exposed to stock …
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Cryptocurrencies (Bitcoin, Etherium, Litecoin, Ripple, and Stellar) as well as the Cryptocurrency index CRIX. Based on the prediction …
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"This paper develops a new approach to change-point modeling that allows for an unknown number of change points in the observed sample. Our model assumes that regime durations have a Poisson distribution. The model approximately nests the two most common approaches: the time-varying parameter...
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Unlike passive management, where investors almost do not buy and sell securities, active management involves a set of trading rules that govern investment decisions regarding mainly market timing. In this paper, we take the basics of active management and the two fund separation approach, to...
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