Correlation Between Flowers Foods and SENECA FOODS
Can any of the company-specific risk be diversified away by investing in both Flowers Foods and SENECA 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 Flowers Foods and SENECA FOODS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flowers Foods and SENECA FOODS A, you can compare the effects of market volatilities on Flowers Foods and SENECA 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 Flowers Foods with a short position of SENECA FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flowers Foods and SENECA FOODS.
Diversification Opportunities for Flowers Foods and SENECA FOODS
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Flowers and SENECA is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Flowers Foods and SENECA FOODS A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SENECA FOODS A and Flowers 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 Flowers Foods are associated (or correlated) with SENECA FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SENECA FOODS A has no effect on the direction of Flowers Foods i.e., Flowers Foods and SENECA FOODS go up and down completely randomly.
Pair Corralation between Flowers Foods and SENECA FOODS
Assuming the 90 days horizon Flowers Foods is expected to under-perform the SENECA FOODS. But the stock apears to be less risky and, when comparing its historical volatility, Flowers Foods is 2.61 times less risky than SENECA FOODS. The stock trades about -0.44 of its potential returns per unit of risk. The SENECA FOODS A is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 6,750 in SENECA FOODS A on September 25, 2024 and sell it today you would earn a total of 350.00 from holding SENECA FOODS A or generate 5.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Flowers Foods vs. SENECA FOODS A
Performance |
Timeline |
Flowers Foods |
SENECA FOODS A |
Flowers Foods and SENECA FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flowers Foods and SENECA FOODS
The main advantage of trading using opposite Flowers Foods and SENECA FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flowers Foods position performs unexpectedly, SENECA 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 SENECA FOODS will offset losses from the drop in SENECA FOODS's long position.Flowers Foods vs. Columbia Sportswear | Flowers Foods vs. PLAYSTUDIOS A DL 0001 | Flowers Foods vs. VIAPLAY GROUP AB | Flowers Foods vs. Universal Display |
SENECA FOODS vs. SPORTING | SENECA FOODS vs. Ribbon Communications | SENECA FOODS vs. Darden Restaurants | SENECA FOODS vs. NTG Nordic Transport |
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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