Correlation Between McDonalds and Corenergy Infras
Can any of the company-specific risk be diversified away by investing in both McDonalds and Corenergy Infras 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 McDonalds and Corenergy Infras into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between McDonalds and Corenergy Infras, you can compare the effects of market volatilities on McDonalds and Corenergy Infras 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 McDonalds with a short position of Corenergy Infras. Check out your portfolio center. Please also check ongoing floating volatility patterns of McDonalds and Corenergy Infras.
Diversification Opportunities for McDonalds and Corenergy Infras
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between McDonalds and Corenergy is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding McDonalds and Corenergy Infras in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Corenergy Infras and McDonalds 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 McDonalds are associated (or correlated) with Corenergy Infras. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Corenergy Infras has no effect on the direction of McDonalds i.e., McDonalds and Corenergy Infras go up and down completely randomly.
Pair Corralation between McDonalds and Corenergy Infras
If you would invest 29,476 in McDonalds on September 13, 2024 and sell it today you would earn a total of 134.00 from holding McDonalds or generate 0.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 1.59% |
Values | Daily Returns |
McDonalds vs. Corenergy Infras
Performance |
Timeline |
McDonalds |
Corenergy Infras |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
McDonalds and Corenergy Infras Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with McDonalds and Corenergy Infras
The main advantage of trading using opposite McDonalds and Corenergy Infras positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if McDonalds position performs unexpectedly, Corenergy Infras 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 Corenergy Infras will offset losses from the drop in Corenergy Infras' long position.The idea behind McDonalds and Corenergy Infras pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Corenergy Infras vs. EPR Properties | Corenergy Infras vs. Digital Realty Trust | Corenergy Infras vs. EPR Properties | Corenergy Infras vs. Farmland Partners |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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