Correlation Between Apple and CAL-MAINE FOODS
Can any of the company-specific risk be diversified away by investing in both Apple 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 Apple 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 Apple Inc and CAL MAINE FOODS, you can compare the effects of market volatilities on Apple 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 Apple with a short position of CAL-MAINE FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and CAL-MAINE FOODS.
Diversification Opportunities for Apple and CAL-MAINE FOODS
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Apple and CAL-MAINE is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc 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 Apple 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 Apple Inc 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 Apple i.e., Apple and CAL-MAINE FOODS go up and down completely randomly.
Pair Corralation between Apple and CAL-MAINE FOODS
Assuming the 90 days trading horizon Apple is expected to generate 2.41 times less return on investment than CAL-MAINE FOODS. But when comparing it to its historical volatility, Apple Inc is 2.5 times less risky than CAL-MAINE FOODS. It trades about 0.17 of its potential returns per unit of risk. CAL MAINE FOODS is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 9,282 in CAL MAINE FOODS on October 4, 2024 and sell it today you would earn a total of 592.00 from holding CAL MAINE FOODS or generate 6.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Apple Inc vs. CAL MAINE FOODS
Performance |
Timeline |
Apple Inc |
CAL MAINE FOODS |
Apple and CAL-MAINE FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apple and CAL-MAINE FOODS
The main advantage of trading using opposite Apple and CAL-MAINE FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple 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.The idea behind Apple Inc and CAL MAINE FOODS 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.CAL-MAINE FOODS vs. Sumitomo Mitsui Construction | CAL-MAINE FOODS vs. Datang International Power | CAL-MAINE FOODS vs. TITAN MACHINERY | CAL-MAINE FOODS vs. DATANG INTL POW |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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