Correlation Between ARDAGH METAL and CAL-MAINE FOODS
Can any of the company-specific risk be diversified away by investing in both ARDAGH METAL and CAL-MAINE FOODS 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 ARDAGH METAL and CAL-MAINE FOODS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ARDAGH METAL PACDL 0001 and CAL MAINE FOODS, you can compare the effects of market volatilities on ARDAGH METAL and CAL-MAINE FOODS 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 ARDAGH METAL with a short position of CAL-MAINE FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of ARDAGH METAL and CAL-MAINE FOODS.
Diversification Opportunities for ARDAGH METAL and CAL-MAINE FOODS
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ARDAGH and CAL-MAINE is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding ARDAGH METAL PACDL 0001 and CAL MAINE FOODS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CAL MAINE FOODS and ARDAGH METAL 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 ARDAGH METAL PACDL 0001 are associated (or correlated) with CAL-MAINE FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CAL MAINE FOODS has no effect on the direction of ARDAGH METAL i.e., ARDAGH METAL and CAL-MAINE FOODS go up and down completely randomly.
Pair Corralation between ARDAGH METAL and CAL-MAINE FOODS
Assuming the 90 days horizon ARDAGH METAL PACDL 0001 is expected to under-perform the CAL-MAINE FOODS. In addition to that, ARDAGH METAL is 2.04 times more volatile than CAL MAINE FOODS. It trades about -0.04 of its total potential returns per unit of risk. CAL MAINE FOODS is currently generating about 0.27 per unit of volatility. If you would invest 7,700 in CAL MAINE FOODS on October 8, 2024 and sell it today you would earn a total of 2,510 from holding CAL MAINE FOODS or generate 32.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ARDAGH METAL PACDL 0001 vs. CAL MAINE FOODS
Performance |
Timeline |
ARDAGH METAL PACDL |
CAL MAINE FOODS |
ARDAGH METAL and CAL-MAINE FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ARDAGH METAL and CAL-MAINE FOODS
The main advantage of trading using opposite ARDAGH METAL and CAL-MAINE FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ARDAGH METAL position performs unexpectedly, CAL-MAINE FOODS 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 CAL-MAINE FOODS will offset losses from the drop in CAL-MAINE FOODS's long position.ARDAGH METAL vs. ECHO INVESTMENT ZY | ARDAGH METAL vs. Virtus Investment Partners | ARDAGH METAL vs. SLR Investment Corp | ARDAGH METAL vs. Apollo Investment Corp |
CAL-MAINE FOODS vs. GigaMedia | CAL-MAINE FOODS vs. RCS MediaGroup SpA | CAL-MAINE FOODS vs. Applied Materials | CAL-MAINE FOODS vs. Goodyear Tire Rubber |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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