Correlation Between Economic Investment and Bitfarms
Can any of the company-specific risk be diversified away by investing in both Economic Investment 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 Economic Investment and Bitfarms into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Economic Investment Trust and Bitfarms, you can compare the effects of market volatilities on Economic Investment 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 Economic Investment with a short position of Bitfarms. Check out your portfolio center. Please also check ongoing floating volatility patterns of Economic Investment and Bitfarms.
Diversification Opportunities for Economic Investment and Bitfarms
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Economic and Bitfarms is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Economic Investment Trust and Bitfarms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitfarms and Economic Investment 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 Economic Investment Trust 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 Economic Investment i.e., Economic Investment and Bitfarms go up and down completely randomly.
Pair Corralation between Economic Investment and Bitfarms
Assuming the 90 days trading horizon Economic Investment Trust is expected to generate 0.18 times more return on investment than Bitfarms. However, Economic Investment Trust is 5.45 times less risky than Bitfarms. It trades about -0.25 of its potential returns per unit of risk. Bitfarms is currently generating about -0.23 per unit of risk. If you would invest 17,325 in Economic Investment Trust on October 3, 2024 and sell it today you would lose (925.00) from holding Economic Investment Trust or give up 5.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Economic Investment Trust vs. Bitfarms
Performance |
Timeline |
Economic Investment Trust |
Bitfarms |
Economic Investment and Bitfarms Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Economic Investment and Bitfarms
The main advantage of trading using opposite Economic Investment and Bitfarms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Economic Investment 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.Economic Investment vs. Uniteds Limited | Economic Investment vs. E L Financial Corp | Economic Investment vs. Canadian General Investments | Economic Investment vs. Clairvest Group |
Bitfarms vs. Hut 8 Mining | Bitfarms vs. Bitfarms | Bitfarms vs. Dmg Blockchain Solutions | Bitfarms vs. Galaxy Digital Holdings |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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