Correlation Between Global Payments and Coor Service
Can any of the company-specific risk be diversified away by investing in both Global Payments and Coor Service 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 Global Payments and Coor Service into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Payments and Coor Service Management, you can compare the effects of market volatilities on Global Payments and Coor Service 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 Global Payments with a short position of Coor Service. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Payments and Coor Service.
Diversification Opportunities for Global Payments and Coor Service
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Global and Coor is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Global Payments and Coor Service Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coor Service Management and Global Payments 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 Global Payments are associated (or correlated) with Coor Service. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coor Service Management has no effect on the direction of Global Payments i.e., Global Payments and Coor Service go up and down completely randomly.
Pair Corralation between Global Payments and Coor Service
Assuming the 90 days horizon Global Payments is expected to under-perform the Coor Service. But the stock apears to be less risky and, when comparing its historical volatility, Global Payments is 2.01 times less risky than Coor Service. The stock trades about -0.12 of its potential returns per unit of risk. The Coor Service Management is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 292.00 in Coor Service Management on December 28, 2024 and sell it today you would earn a total of 23.00 from holding Coor Service Management or generate 7.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Global Payments vs. Coor Service Management
Performance |
Timeline |
Global Payments |
Coor Service Management |
Global Payments and Coor Service Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Payments and Coor Service
The main advantage of trading using opposite Global Payments and Coor Service positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Payments position performs unexpectedly, Coor Service 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 Coor Service will offset losses from the drop in Coor Service's long position.Global Payments vs. Ultra Clean Holdings | Global Payments vs. Zijin Mining Group | Global Payments vs. Monument Mining Limited | Global Payments vs. CLEAN ENERGY FUELS |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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