Forecasting Bitcoin Returns: Is there a Role for the U.S. – China Trade War?
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Cited by:
- Tobias Burggraf, 2020. "Bitcoin and Global Political Uncertainty – Evidence from the U.S. Election Cycle," Economics Bulletin, AccessEcon, vol. 40(1), pages 727-742.
- Fahad Mostafa & Pritam Saha & Mohammad Rafiqul Islam & Nguyet Nguyen, 2021. "GJR-GARCH Volatility Modeling under NIG and ANN for Predicting Top Cryptocurrencies," JRFM, MDPI, vol. 14(9), pages 1-22, September.
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More about this item
Keywords
Bitcoin; forecasting; machine learning; U.S. – China trade war;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2019-12-02 (Big Data)
- NEP-FMK-2019-12-02 (Financial Markets)
- NEP-FOR-2019-12-02 (Forecasting)
- NEP-INT-2019-12-02 (International Trade)
- NEP-PAY-2019-12-02 (Payment Systems and Financial Technology)
Statistics
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