Correlation Between Data#3 and Flowers Foods

Can any of the company-specific risk be diversified away by investing in both Data#3 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 Data#3 and Flowers Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Data3 Limited and Flowers Foods, you can compare the effects of market volatilities on Data#3 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 Data#3 with a short position of Flowers Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Data#3 and Flowers Foods.

Diversification Opportunities for Data#3 and Flowers Foods

0.48

Correlation Coefficient

Data#3  Flowers Foods

Very weak diversification

The 3 months correlation between Data#3 and Flowers is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Data3 Limited and Flowers Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flowers Foods and Data#3 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 Data3 Limited 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 Data#3 i.e., Data#3 and Flowers Foods go up and down completely randomly.

Pair Corralation between Data#3 and Flowers Foods

Assuming the 90 days horizon Data3 Limited is expected to under-perform the Flowers Foods. In addition to that, Data#3 is 2.69 times more volatile than Flowers Foods. It trades about -0.41 of its total potential returns per unit of risk. Flowers Foods is currently generating about -0.26 per unit of volatility. If you would invest  2,096  in Flowers Foods on September 23, 2024 and sell it today you would lose (116.00) from holding Flowers Foods or give up 5.53% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Data3 Limited  vs.  Flowers Foods

Data3 Limited

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Data3 Limited has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fragile performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Flowers Foods

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Flowers Foods has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Flowers Foods is not utilizing all of its potentials. The latest stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Data#3 and Flowers Foods

The main advantage of trading using opposite Data#3 and Flowers Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Data#3 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.

The idea behind Data3 Limited and Flowers Foods 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.

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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 Commodity Directory module to find actively traded commodities issued by global exchanges.