An Econometric Analysis of the Daily Bitcoin Market
**An Econometric Analysis of the Daily Bitcoin Market**
This study investigates the daily Bitcoin market by analyzing its price dynamics. Utilizing time-series econometric methods, we examine the stationarity, volatility clustering, and long-memory properties of Bitcoin prices. The empirical results reveal that Bitcoin prices exhibit mean reversion, exhibiting a tendency to return to their long-run equilibrium. We observe significant volatility clustering, indicating that periods of high (low) volatility tend to be followed by periods of high (low) volatility. Additionally, we find evidence of long-memory in the price series, suggesting that past events have a persistent influence on future prices. These findings provide novel insights into the behavior of the Bitcoin market and contribute to a deeper understanding of its dynamics and implications for investors and policymakers.
