Correlation Between Above Food and Wing Yip
Can any of the company-specific risk be diversified away by investing in both Above Food and Wing Yip 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 Above Food and Wing Yip into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Above Food Ingredients and Wing Yip Food, you can compare the effects of market volatilities on Above Food and Wing Yip 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 Above Food with a short position of Wing Yip. Check out your portfolio center. Please also check ongoing floating volatility patterns of Above Food and Wing Yip.
Diversification Opportunities for Above Food and Wing Yip
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Above and Wing is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Above Food Ingredients and Wing Yip Food in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wing Yip Food and Above Food 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 Above Food Ingredients are associated (or correlated) with Wing Yip. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wing Yip Food has no effect on the direction of Above Food i.e., Above Food and Wing Yip go up and down completely randomly.
Pair Corralation between Above Food and Wing Yip
Assuming the 90 days horizon Above Food is expected to generate 20.95 times less return on investment than Wing Yip. But when comparing it to its historical volatility, Above Food Ingredients is 8.08 times less risky than Wing Yip. It trades about 0.08 of its potential returns per unit of risk. Wing Yip Food is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 0.00 in Wing Yip Food on October 3, 2024 and sell it today you would earn a total of 600.00 from holding Wing Yip Food or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 19.38% |
Values | Daily Returns |
Above Food Ingredients vs. Wing Yip Food
Performance |
Timeline |
Above Food Ingredients |
Wing Yip Food |
Above Food and Wing Yip Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Above Food and Wing Yip
The main advantage of trading using opposite Above Food and Wing Yip positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Above Food position performs unexpectedly, Wing Yip 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 Wing Yip will offset losses from the drop in Wing Yip's long position.Above Food vs. Borealis Foods | Above Food vs. Wing Yip Food | Above Food vs. CIMG Inc | Above Food vs. Nocera Inc |
Wing Yip vs. Kellanova | Wing Yip vs. Lamb Weston Holdings | Wing Yip vs. Borealis Foods | Wing Yip vs. Westrock Coffee |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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