Correlation Between APPLIED MATERIALS and Cal-Maine Foods
Can any of the company-specific risk be diversified away by investing in both APPLIED MATERIALS 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 APPLIED MATERIALS 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 APPLIED MATERIALS and Cal Maine Foods, you can compare the effects of market volatilities on APPLIED MATERIALS 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 APPLIED MATERIALS with a short position of Cal-Maine Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of APPLIED MATERIALS and Cal-Maine Foods.
Diversification Opportunities for APPLIED MATERIALS and Cal-Maine Foods
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between APPLIED and Cal-Maine is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding APPLIED MATERIALS 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 APPLIED MATERIALS 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 APPLIED MATERIALS 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 APPLIED MATERIALS i.e., APPLIED MATERIALS and Cal-Maine Foods go up and down completely randomly.
Pair Corralation between APPLIED MATERIALS and Cal-Maine Foods
Assuming the 90 days trading horizon APPLIED MATERIALS is expected to generate 2.83 times less return on investment than Cal-Maine Foods. In addition to that, APPLIED MATERIALS is 1.12 times more volatile than Cal Maine Foods. It trades about 0.09 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 7,994 in Cal Maine Foods on October 23, 2024 and sell it today you would earn a total of 3,146 from holding Cal Maine Foods or generate 39.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
APPLIED MATERIALS vs. Cal Maine Foods
Performance |
Timeline |
APPLIED MATERIALS |
Cal Maine Foods |
APPLIED MATERIALS and Cal-Maine Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with APPLIED MATERIALS and Cal-Maine Foods
The main advantage of trading using opposite APPLIED MATERIALS and Cal-Maine Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if APPLIED MATERIALS 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' long position.APPLIED MATERIALS vs. Warner Music Group | APPLIED MATERIALS vs. GEAR4MUSIC LS 10 | APPLIED MATERIALS vs. Mitsubishi Gas Chemical | APPLIED MATERIALS vs. UNIVERSAL MUSIC GROUP |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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