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| 0.30050598 btc in usd | These findings are independent of the volatility measure used. Anyone you share the following link with will be able to read this content:. Availability of data and materials Data used in the study are secondary published data extracted from DataStream. The short term target for the next pu. Kakinaka S, Umeno K Exploring asymmetric multifractal cross-correlations of price�volatility and asymmetric volatility dynamics in cryptocurrency markets. Based on in-sample predictability, we find an inverse relationship between the realized volatility of each of the US sectors and Bitcoin prices, given that the estimated parameter is significantly negative across the stocks in the considered US sectors. Implicitly, our predictability and forecast performance results are not affected by the choice of realized volatility measures and data splits, indicating their robustness. |
| Alphadex crypto | The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. However, our results on economic gains are somewhat sensitive to the choice of volatility measures see Table 6 but robust to the data split see Table 7. On the out-of-sample period, we consider forecast horizons of 30, 60, and days ahead using a rolling window framework that allows for some time variation. Emerg Mark Finance Trade. In the same vein, the CW test is a more formal pairwise comparison tool. |
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