Correlation Between Argo Blockchain and Electronic Arts
Can any of the company-specific risk be diversified away by investing in both Argo Blockchain and Electronic Arts 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 Argo Blockchain and Electronic Arts into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Argo Blockchain PLC and Electronic Arts, you can compare the effects of market volatilities on Argo Blockchain and Electronic Arts 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 Argo Blockchain with a short position of Electronic Arts. Check out your portfolio center. Please also check ongoing floating volatility patterns of Argo Blockchain and Electronic Arts.
Diversification Opportunities for Argo Blockchain and Electronic Arts
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Argo and Electronic is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Argo Blockchain PLC and Electronic Arts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Electronic Arts and Argo Blockchain 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 Argo Blockchain PLC are associated (or correlated) with Electronic Arts. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Electronic Arts has no effect on the direction of Argo Blockchain i.e., Argo Blockchain and Electronic Arts go up and down completely randomly.
Pair Corralation between Argo Blockchain and Electronic Arts
Assuming the 90 days trading horizon Argo Blockchain PLC is expected to generate 16.67 times more return on investment than Electronic Arts. However, Argo Blockchain is 16.67 times more volatile than Electronic Arts. It trades about 0.11 of its potential returns per unit of risk. Electronic Arts is currently generating about 0.05 per unit of risk. If you would invest 288.00 in Argo Blockchain PLC on April 20, 2025 and sell it today you would earn a total of 62.00 from holding Argo Blockchain PLC or generate 21.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 88.89% |
Values | Daily Returns |
Argo Blockchain PLC vs. Electronic Arts
Performance |
Timeline |
Argo Blockchain PLC |
Electronic Arts |
Argo Blockchain and Electronic Arts Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Argo Blockchain and Electronic Arts
The main advantage of trading using opposite Argo Blockchain and Electronic Arts positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Argo Blockchain position performs unexpectedly, Electronic Arts 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 Electronic Arts will offset losses from the drop in Electronic Arts' long position.Argo Blockchain vs. Impax Asset Management | Argo Blockchain vs. New Residential Investment | Argo Blockchain vs. National Beverage Corp | Argo Blockchain vs. Lords Grp Trading |
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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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