Correlation Between Slate Grocery and Bitfarms
Can any of the company-specific risk be diversified away by investing in both Slate Grocery and Bitfarms 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 Slate Grocery and Bitfarms into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Slate Grocery REIT and Bitfarms, you can compare the effects of market volatilities on Slate Grocery and Bitfarms 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 Slate Grocery with a short position of Bitfarms. Check out your portfolio center. Please also check ongoing floating volatility patterns of Slate Grocery and Bitfarms.
Diversification Opportunities for Slate Grocery and Bitfarms
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Slate and Bitfarms is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Slate Grocery REIT and Bitfarms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitfarms and Slate Grocery 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 Slate Grocery REIT are associated (or correlated) with Bitfarms. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitfarms has no effect on the direction of Slate Grocery i.e., Slate Grocery and Bitfarms go up and down completely randomly.
Pair Corralation between Slate Grocery and Bitfarms
Assuming the 90 days trading horizon Slate Grocery is expected to generate 14.25 times less return on investment than Bitfarms. But when comparing it to its historical volatility, Slate Grocery REIT is 4.72 times less risky than Bitfarms. It trades about 0.02 of its potential returns per unit of risk. Bitfarms is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 268.00 in Bitfarms on September 14, 2024 and sell it today you would earn a total of 20.00 from holding Bitfarms or generate 7.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Slate Grocery REIT vs. Bitfarms
Performance |
Timeline |
Slate Grocery REIT |
Bitfarms |
Slate Grocery and Bitfarms Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Slate Grocery and Bitfarms
The main advantage of trading using opposite Slate Grocery and Bitfarms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Slate Grocery position performs unexpectedly, Bitfarms 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 Bitfarms will offset losses from the drop in Bitfarms' long position.Slate Grocery vs. Eddy Smart Home | Slate Grocery vs. Data Communications Management | Slate Grocery vs. Sangoma Technologies Corp | Slate Grocery vs. Profound Medical Corp |
Bitfarms vs. Slate Grocery REIT | Bitfarms vs. Morguard Real Estate | Bitfarms vs. iShares Canadian HYBrid | Bitfarms vs. Altagas Cum Red |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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