Correlation Between Bitfarms and Bullet Blockchain
Can any of the company-specific risk be diversified away by investing in both Bitfarms and Bullet Blockchain at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Bitfarms and Bullet Blockchain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitfarms and Bullet Blockchain, you can compare the effects of market volatilities on Bitfarms and Bullet Blockchain and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Bitfarms with a short position of Bullet Blockchain. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitfarms and Bullet Blockchain.
Diversification Opportunities for Bitfarms and Bullet Blockchain
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bitfarms and Bullet is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Bitfarms and Bullet Blockchain in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bullet Blockchain and Bitfarms is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Bitfarms are associated (or correlated) with Bullet Blockchain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bullet Blockchain has no effect on the direction of Bitfarms i.e., Bitfarms and Bullet Blockchain go up and down completely randomly.
Pair Corralation between Bitfarms and Bullet Blockchain
Given the investment horizon of 90 days Bitfarms is expected to under-perform the Bullet Blockchain. But the stock apears to be less risky and, when comparing its historical volatility, Bitfarms is 3.06 times less risky than Bullet Blockchain. The stock trades about -0.13 of its potential returns per unit of risk. The Bullet Blockchain is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 6.47 in Bullet Blockchain on December 23, 2024 and sell it today you would lose (1.06) from holding Bullet Blockchain or give up 16.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Bitfarms vs. Bullet Blockchain
Performance |
Timeline |
Bitfarms |
Bullet Blockchain |
Bitfarms and Bullet Blockchain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitfarms and Bullet Blockchain
The main advantage of trading using opposite Bitfarms and Bullet Blockchain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitfarms position performs unexpectedly, Bullet Blockchain can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bullet Blockchain will offset losses from the drop in Bullet Blockchain's long position.Bitfarms vs. HIVE Blockchain Technologies | Bitfarms vs. CleanSpark | Bitfarms vs. Marathon Digital Holdings | Bitfarms vs. Riot Blockchain |
Bullet Blockchain vs. Bitfarms | Bullet Blockchain vs. Marathon Digital Holdings | Bullet Blockchain vs. Axis Technologies Group | Bullet Blockchain vs. The Charles Schwab |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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