Correlation Between Gigas Hosting and Grenergy Renovables
Can any of the company-specific risk be diversified away by investing in both Gigas Hosting and Grenergy Renovables 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 Gigas Hosting and Grenergy Renovables into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gigas Hosting SA and Grenergy Renovables SA, you can compare the effects of market volatilities on Gigas Hosting and Grenergy Renovables 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 Gigas Hosting with a short position of Grenergy Renovables. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gigas Hosting and Grenergy Renovables.
Diversification Opportunities for Gigas Hosting and Grenergy Renovables
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gigas and Grenergy is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Gigas Hosting SA and Grenergy Renovables SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grenergy Renovables and Gigas Hosting 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 Gigas Hosting SA are associated (or correlated) with Grenergy Renovables. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grenergy Renovables has no effect on the direction of Gigas Hosting i.e., Gigas Hosting and Grenergy Renovables go up and down completely randomly.
Pair Corralation between Gigas Hosting and Grenergy Renovables
Assuming the 90 days trading horizon Gigas Hosting SA is expected to generate 0.78 times more return on investment than Grenergy Renovables. However, Gigas Hosting SA is 1.29 times less risky than Grenergy Renovables. It trades about 0.11 of its potential returns per unit of risk. Grenergy Renovables SA is currently generating about -0.1 per unit of risk. If you would invest 670.00 in Gigas Hosting SA on September 12, 2024 and sell it today you would earn a total of 100.00 from holding Gigas Hosting SA or generate 14.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gigas Hosting SA vs. Grenergy Renovables SA
Performance |
Timeline |
Gigas Hosting SA |
Grenergy Renovables |
Gigas Hosting and Grenergy Renovables Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gigas Hosting and Grenergy Renovables
The main advantage of trading using opposite Gigas Hosting and Grenergy Renovables positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gigas Hosting position performs unexpectedly, Grenergy Renovables 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 Grenergy Renovables will offset losses from the drop in Grenergy Renovables' long position.Gigas Hosting vs. Elaia Investment Spain | Gigas Hosting vs. Labiana Health SA | Gigas Hosting vs. Inhome Prime Properties | Gigas Hosting vs. Caixabank SA |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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