Abstract
This study aims to identify the main drivers of Bitcoin volatility. The empirical analysis is based on a dynamic Bayesian model averaging approach for twenty-two potential determinants. The results reveal that the most important factors for Bitcoin volatility are Google trends, total circulation of Bitcoins, US consumer confidence and the S&P500 index.
| Original language | English |
|---|---|
| Article number | 103237 |
| Number of pages | 8 |
| Journal | Finance Research Letters |
| Volume | 50 |
| Early online date | 6 Aug 2022 |
| DOIs | |
| Publication status | Published - 13 Aug 2022 |
Keywords
- Bitcoin
- Cryptocurrency markets
- Volatility
- Dynamic model averaging
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