Correlation Between ALGOMA STEEL and Flowers Foods
Can any of the company-specific risk be diversified away by investing in both ALGOMA STEEL 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 ALGOMA STEEL and Flowers Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ALGOMA STEEL GROUP and Flowers Foods, you can compare the effects of market volatilities on ALGOMA STEEL 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 ALGOMA STEEL with a short position of Flowers Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALGOMA STEEL and Flowers Foods.
Diversification Opportunities for ALGOMA STEEL and Flowers Foods
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between ALGOMA and Flowers is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding ALGOMA STEEL GROUP and Flowers Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flowers Foods and ALGOMA STEEL 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 ALGOMA STEEL GROUP 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 ALGOMA STEEL i.e., ALGOMA STEEL and Flowers Foods go up and down completely randomly.
Pair Corralation between ALGOMA STEEL and Flowers Foods
Assuming the 90 days horizon ALGOMA STEEL GROUP is expected to generate 1.76 times more return on investment than Flowers Foods. However, ALGOMA STEEL is 1.76 times more volatile than Flowers Foods. It trades about 0.03 of its potential returns per unit of risk. Flowers Foods is currently generating about 0.0 per unit of risk. If you would invest 916.00 in ALGOMA STEEL GROUP on September 15, 2024 and sell it today you would earn a total of 29.00 from holding ALGOMA STEEL GROUP or generate 3.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ALGOMA STEEL GROUP vs. Flowers Foods
Performance |
Timeline |
ALGOMA STEEL GROUP |
Flowers Foods |
ALGOMA STEEL and Flowers Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALGOMA STEEL and Flowers Foods
The main advantage of trading using opposite ALGOMA STEEL and Flowers Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALGOMA STEEL 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.ALGOMA STEEL vs. Flowers Foods | ALGOMA STEEL vs. CarsalesCom | ALGOMA STEEL vs. GEELY AUTOMOBILE | ALGOMA STEEL vs. International Consolidated Airlines |
Flowers Foods vs. Hormel Foods | Flowers Foods vs. Superior Plus Corp | Flowers Foods vs. SIVERS SEMICONDUCTORS AB | Flowers Foods vs. NorAm Drilling AS |
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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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