What is the beta coefficient in cryptocurrency regression analysis?
Ellegaard FaberSep 23, 2020 · 5 years ago3 answers
Can you explain what the beta coefficient means in the context of cryptocurrency regression analysis? How is it calculated and what does it indicate?
3 answers
- Shabab ArshadJun 06, 2025 · 8 months agoThe beta coefficient in cryptocurrency regression analysis measures the sensitivity of a particular cryptocurrency's returns to the overall market returns. It is calculated by regressing the cryptocurrency's returns against the market returns, and the beta coefficient represents the slope of the regression line. A beta coefficient greater than 1 indicates that the cryptocurrency is more volatile than the market, while a beta coefficient less than 1 indicates that the cryptocurrency is less volatile than the market. It is an important metric for investors to assess the risk associated with a cryptocurrency investment.
- sel99Mar 03, 2021 · 5 years agoIn simple terms, the beta coefficient tells us how much a cryptocurrency's price moves in relation to the overall market. A beta coefficient of 1 means the cryptocurrency moves in line with the market, while a beta coefficient greater than 1 means the cryptocurrency is more volatile than the market. On the other hand, a beta coefficient less than 1 means the cryptocurrency is less volatile than the market. It's a way to measure the risk and potential returns of a cryptocurrency investment.
- ARtorOct 25, 2020 · 5 years agoThe beta coefficient is a measure of systematic risk in cryptocurrency regression analysis. It quantifies the relationship between a cryptocurrency's returns and the returns of the overall market. A beta coefficient greater than 1 indicates that the cryptocurrency is more volatile than the market, while a beta coefficient less than 1 indicates that the cryptocurrency is less volatile than the market. It is important to note that beta coefficients can vary over time, so it's crucial to regularly update the analysis to reflect the current market conditions.
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