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Abstract We analyze the quality of Bitcoin volatility forecasting of GARCH-type models applying different volatility proxies and loss functions. We construct model confidence sets and find them to be systematically… Click to show full abstract
Abstract We analyze the quality of Bitcoin volatility forecasting of GARCH-type models applying different volatility proxies and loss functions. We construct model confidence sets and find them to be systematically smaller for asymmetric loss functions and a jump robust proxy.
Keywords:
bitcoin volatility;
volatility;
forecasting accuracy;
accuracy bitcoin;
volatility forecasting
Journal Title: Economics Letters
Year Published: 2020
Link to full text (if available)
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Journal Title: Economics Letters
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!