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