Correlation Between Flowers Foods and AEON STORES
Can any of the company-specific risk be diversified away by investing in both Flowers Foods and AEON STORES 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 AEON STORES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flowers Foods and AEON STORES, you can compare the effects of market volatilities on Flowers Foods and AEON STORES 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 AEON STORES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flowers Foods and AEON STORES.
Diversification Opportunities for Flowers Foods and AEON STORES
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Flowers and AEON is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Flowers Foods and AEON STORES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AEON STORES 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 AEON STORES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AEON STORES has no effect on the direction of Flowers Foods i.e., Flowers Foods and AEON STORES go up and down completely randomly.
Pair Corralation between Flowers Foods and AEON STORES
Assuming the 90 days horizon Flowers Foods is expected to under-perform the AEON STORES. In addition to that, Flowers Foods is 1.64 times more volatile than AEON STORES. It trades about -0.12 of its total potential returns per unit of risk. AEON STORES is currently generating about -0.04 per unit of volatility. If you would invest 6.05 in AEON STORES on December 21, 2024 and sell it today you would lose (0.15) from holding AEON STORES or give up 2.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Flowers Foods vs. AEON STORES
Performance |
Timeline |
Flowers Foods |
AEON STORES |
Flowers Foods and AEON STORES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flowers Foods and AEON STORES
The main advantage of trading using opposite Flowers Foods and AEON STORES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flowers Foods position performs unexpectedly, AEON STORES 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 AEON STORES will offset losses from the drop in AEON STORES's long position.The idea behind Flowers Foods and AEON STORES pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.AEON STORES vs. EITZEN CHEMICALS | AEON STORES vs. CanSino Biologics | AEON STORES vs. TRADEGATE | AEON STORES vs. Magnachip Semiconductor |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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