Correlation Between Cal-Maine Foods and Starbucks
Can any of the company-specific risk be diversified away by investing in both Cal-Maine Foods and Starbucks 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 Foods and Starbucks 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 Starbucks, you can compare the effects of market volatilities on Cal-Maine Foods and Starbucks 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 Foods with a short position of Starbucks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cal-Maine Foods and Starbucks.
Diversification Opportunities for Cal-Maine Foods and Starbucks
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cal-Maine and Starbucks is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Cal Maine Foods and Starbucks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Starbucks and Cal-Maine Foods 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 Starbucks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Starbucks has no effect on the direction of Cal-Maine Foods i.e., Cal-Maine Foods and Starbucks go up and down completely randomly.
Pair Corralation between Cal-Maine Foods and Starbucks
Assuming the 90 days trading horizon Cal Maine Foods is expected to generate 1.45 times more return on investment than Starbucks. However, Cal-Maine Foods is 1.45 times more volatile than Starbucks. It trades about 0.28 of its potential returns per unit of risk. Starbucks is currently generating about 0.14 per unit of risk. If you would invest 6,372 in Cal Maine Foods on September 2, 2024 and sell it today you would earn a total of 2,768 from holding Cal Maine Foods or generate 43.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cal Maine Foods vs. Starbucks
Performance |
Timeline |
Cal Maine Foods |
Starbucks |
Cal-Maine Foods and Starbucks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cal-Maine Foods and Starbucks
The main advantage of trading using opposite Cal-Maine Foods and Starbucks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cal-Maine Foods position performs unexpectedly, Starbucks 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 Starbucks will offset losses from the drop in Starbucks' long position.Cal-Maine Foods vs. Apple Inc | Cal-Maine Foods vs. Apple Inc | Cal-Maine Foods vs. Apple Inc | Cal-Maine Foods vs. Apple Inc |
Starbucks vs. Food Life Companies | Starbucks vs. Cal Maine Foods | Starbucks vs. Performance Food Group | Starbucks vs. TYSON FOODS A |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Other Complementary Tools
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Equity Valuation Check real value of public entities based on technical and fundamental data |