Correlation Between RETAIL FOOD and Flowers Foods
Can any of the company-specific risk be diversified away by investing in both RETAIL FOOD and Flowers 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 RETAIL FOOD and Flowers Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RETAIL FOOD GROUP and Flowers Foods, you can compare the effects of market volatilities on RETAIL FOOD and Flowers 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 RETAIL FOOD with a short position of Flowers Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of RETAIL FOOD and Flowers Foods.
Diversification Opportunities for RETAIL FOOD and Flowers Foods
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between RETAIL and Flowers is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding RETAIL FOOD GROUP and Flowers Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flowers Foods and RETAIL 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 RETAIL FOOD GROUP are associated (or correlated) with Flowers Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flowers Foods has no effect on the direction of RETAIL FOOD i.e., RETAIL FOOD and Flowers Foods go up and down completely randomly.
Pair Corralation between RETAIL FOOD and Flowers Foods
Assuming the 90 days trading horizon RETAIL FOOD GROUP is expected to under-perform the Flowers Foods. In addition to that, RETAIL FOOD is 1.96 times more volatile than Flowers Foods. It trades about -0.13 of its total potential returns per unit of risk. Flowers Foods is currently generating about -0.12 per unit of volatility. If you would invest 1,946 in Flowers Foods on December 21, 2024 and sell it today you would lose (236.00) from holding Flowers Foods or give up 12.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
RETAIL FOOD GROUP vs. Flowers Foods
Performance |
Timeline |
RETAIL FOOD GROUP |
Flowers Foods |
RETAIL FOOD and Flowers Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RETAIL FOOD and Flowers Foods
The main advantage of trading using opposite RETAIL FOOD and Flowers Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RETAIL FOOD position performs unexpectedly, Flowers 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 Flowers Foods will offset losses from the drop in Flowers Foods' long position.RETAIL FOOD vs. IRONVELD PLC LS | RETAIL FOOD vs. COLUMBIA SPORTSWEAR | RETAIL FOOD vs. ePlay Digital | RETAIL FOOD vs. Nippon Steel |
Flowers Foods vs. Stag Industrial | Flowers Foods vs. INFORMATION SVC GRP | Flowers Foods vs. GREENX METALS LTD | Flowers Foods vs. CN DATANG C |
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.
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