Correlation Between Flowers Foods and Western Copper
Can any of the company-specific risk be diversified away by investing in both Flowers Foods and Western Copper 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 Western Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flowers Foods and Western Copper and, you can compare the effects of market volatilities on Flowers Foods and Western Copper 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 Western Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flowers Foods and Western Copper.
Diversification Opportunities for Flowers Foods and Western Copper
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Flowers and Western is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Flowers Foods and Western Copper and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Copper 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 Western Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Copper has no effect on the direction of Flowers Foods i.e., Flowers Foods and Western Copper go up and down completely randomly.
Pair Corralation between Flowers Foods and Western Copper
Assuming the 90 days horizon Flowers Foods is expected to generate 0.51 times more return on investment than Western Copper. However, Flowers Foods is 1.96 times less risky than Western Copper. It trades about -0.44 of its potential returns per unit of risk. Western Copper and is currently generating about -0.24 per unit of risk. If you would invest 2,136 in Flowers Foods on September 25, 2024 and sell it today you would lose (166.00) from holding Flowers Foods or give up 7.77% 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. Western Copper and
Performance |
Timeline |
Flowers Foods |
Western Copper |
Flowers Foods and Western Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flowers Foods and Western Copper
The main advantage of trading using opposite Flowers Foods and Western Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flowers Foods position performs unexpectedly, Western Copper 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 Western Copper will offset losses from the drop in Western Copper'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 |
Western Copper vs. COSMOSTEEL HLDGS | Western Copper vs. MITSUBISHI STEEL MFG | Western Copper vs. Gaztransport Technigaz SA | Western Copper vs. NIPPON STEEL SPADR |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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