Correlation Between Gamma Communications and Compass Group
Can any of the company-specific risk be diversified away by investing in both Gamma Communications and Compass Group 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 Gamma Communications and Compass Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gamma Communications PLC and Compass Group PLC, you can compare the effects of market volatilities on Gamma Communications and Compass Group 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 Gamma Communications with a short position of Compass Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gamma Communications and Compass Group.
Diversification Opportunities for Gamma Communications and Compass Group
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gamma and Compass is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Gamma Communications PLC and Compass Group PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Compass Group PLC and Gamma Communications 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 Gamma Communications PLC are associated (or correlated) with Compass Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Compass Group PLC has no effect on the direction of Gamma Communications i.e., Gamma Communications and Compass Group go up and down completely randomly.
Pair Corralation between Gamma Communications and Compass Group
Assuming the 90 days trading horizon Gamma Communications PLC is expected to under-perform the Compass Group. In addition to that, Gamma Communications is 1.08 times more volatile than Compass Group PLC. It trades about -0.24 of its total potential returns per unit of risk. Compass Group PLC is currently generating about -0.1 per unit of volatility. If you would invest 264,800 in Compass Group PLC on December 23, 2024 and sell it today you would lose (22,400) from holding Compass Group PLC or give up 8.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gamma Communications PLC vs. Compass Group PLC
Performance |
Timeline |
Gamma Communications PLC |
Compass Group PLC |
Gamma Communications and Compass Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gamma Communications and Compass Group
The main advantage of trading using opposite Gamma Communications and Compass Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gamma Communications position performs unexpectedly, Compass Group 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 Compass Group will offset losses from the drop in Compass Group's long position.Gamma Communications vs. Wyndham Hotels Resorts | Gamma Communications vs. Darden Restaurants | Gamma Communications vs. Check Point Software | Gamma Communications vs. PPHE Hotel Group |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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