Correlation Between Flowers Foods and Columbia Sportswear
Can any of the company-specific risk be diversified away by investing in both Flowers Foods and Columbia Sportswear 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 Columbia Sportswear into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flowers Foods and Columbia Sportswear, you can compare the effects of market volatilities on Flowers Foods and Columbia Sportswear 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 Columbia Sportswear. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flowers Foods and Columbia Sportswear.
Diversification Opportunities for Flowers Foods and Columbia Sportswear
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Flowers and Columbia is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Flowers Foods and Columbia Sportswear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Sportswear 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 Columbia Sportswear. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Sportswear has no effect on the direction of Flowers Foods i.e., Flowers Foods and Columbia Sportswear go up and down completely randomly.
Pair Corralation between Flowers Foods and Columbia Sportswear
Assuming the 90 days horizon Flowers Foods is expected to generate 0.82 times more return on investment than Columbia Sportswear. However, Flowers Foods is 1.22 times less risky than Columbia Sportswear. It trades about -0.11 of its potential returns per unit of risk. Columbia Sportswear is currently generating about -0.2 per unit of risk. If you would invest 2,060 in Flowers Foods on October 8, 2024 and sell it today you would lose (40.00) from holding Flowers Foods or give up 1.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Flowers Foods vs. Columbia Sportswear
Performance |
Timeline |
Flowers Foods |
Columbia Sportswear |
Flowers Foods and Columbia Sportswear Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flowers Foods and Columbia Sportswear
The main advantage of trading using opposite Flowers Foods and Columbia Sportswear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flowers Foods position performs unexpectedly, Columbia Sportswear 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 Columbia Sportswear will offset losses from the drop in Columbia Sportswear's long position.Flowers Foods vs. Superior Plus Corp | Flowers Foods vs. NMI Holdings | Flowers Foods vs. SIVERS SEMICONDUCTORS AB | Flowers Foods vs. Talanx AG |
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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 Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
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