Correlation Between CAL MAINE and Infrastrutture Wireless
Can any of the company-specific risk be diversified away by investing in both CAL MAINE 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 CAL MAINE and Infrastrutture Wireless into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CAL MAINE FOODS and Infrastrutture Wireless Italiane, you can compare the effects of market volatilities on CAL MAINE 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 CAL MAINE with a short position of Infrastrutture Wireless. Check out your portfolio center. Please also check ongoing floating volatility patterns of CAL MAINE and Infrastrutture Wireless.
Diversification Opportunities for CAL MAINE and Infrastrutture Wireless
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CAL and Infrastrutture is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding CAL MAINE FOODS and Infrastrutture Wireless Italia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infrastrutture Wireless and CAL MAINE 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 CAL MAINE FOODS 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 CAL MAINE i.e., CAL MAINE and Infrastrutture Wireless go up and down completely randomly.
Pair Corralation between CAL MAINE and Infrastrutture Wireless
Assuming the 90 days trading horizon CAL MAINE FOODS is expected to generate 1.71 times more return on investment than Infrastrutture Wireless. However, CAL MAINE is 1.71 times more volatile than Infrastrutture Wireless Italiane. It trades about 0.18 of its potential returns per unit of risk. Infrastrutture Wireless Italiane is currently generating about 0.11 per unit of risk. If you would invest 7,465 in CAL MAINE FOODS on April 22, 2025 and sell it today you would earn a total of 1,681 from holding CAL MAINE FOODS or generate 22.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CAL MAINE FOODS vs. Infrastrutture Wireless Italia
Performance |
Timeline |
CAL MAINE FOODS |
Infrastrutture Wireless |
CAL MAINE and Infrastrutture Wireless Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CAL MAINE and Infrastrutture Wireless
The main advantage of trading using opposite CAL MAINE and Infrastrutture Wireless positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CAL MAINE 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.CAL MAINE vs. ECHO INVESTMENT ZY | CAL MAINE vs. United Rentals | CAL MAINE vs. FIRST SHIP LEASE | CAL MAINE vs. Guangdong Investment Limited |
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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