Correlation Between AFC Energy and Infrastrutture Wireless
Can any of the company-specific risk be diversified away by investing in both AFC Energy and Infrastrutture Wireless 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 AFC Energy and Infrastrutture Wireless into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AFC Energy plc and Infrastrutture Wireless Italiane, you can compare the effects of market volatilities on AFC Energy and Infrastrutture Wireless 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 AFC Energy with a short position of Infrastrutture Wireless. Check out your portfolio center. Please also check ongoing floating volatility patterns of AFC Energy and Infrastrutture Wireless.
Diversification Opportunities for AFC Energy and Infrastrutture Wireless
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between AFC and Infrastrutture is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding AFC Energy plc and Infrastrutture Wireless Italia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infrastrutture Wireless and AFC Energy 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 AFC Energy plc are associated (or correlated) with Infrastrutture Wireless. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Infrastrutture Wireless has no effect on the direction of AFC Energy i.e., AFC Energy and Infrastrutture Wireless go up and down completely randomly.
Pair Corralation between AFC Energy and Infrastrutture Wireless
Assuming the 90 days trading horizon AFC Energy plc is expected to generate 10.51 times more return on investment than Infrastrutture Wireless. However, AFC Energy is 10.51 times more volatile than Infrastrutture Wireless Italiane. It trades about 0.16 of its potential returns per unit of risk. Infrastrutture Wireless Italiane is currently generating about 0.12 per unit of risk. If you would invest 550.00 in AFC Energy plc on April 20, 2025 and sell it today you would earn a total of 522.00 from holding AFC Energy plc or generate 94.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
AFC Energy plc vs. Infrastrutture Wireless Italia
Performance |
Timeline |
AFC Energy plc |
Infrastrutture Wireless |
AFC Energy and Infrastrutture Wireless Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AFC Energy and Infrastrutture Wireless
The main advantage of trading using opposite AFC Energy and Infrastrutture Wireless positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AFC Energy position performs unexpectedly, Infrastrutture Wireless 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 Infrastrutture Wireless will offset losses from the drop in Infrastrutture Wireless' long position.AFC Energy vs. Central Asia Metals | AFC Energy vs. Bisichi Mining PLC | AFC Energy vs. Metals Exploration Plc | AFC Energy vs. Thor Mining PLC |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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