Correlation Between SENECA FOODS and Western Copper
Can any of the company-specific risk be diversified away by investing in both SENECA 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 SENECA 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 SENECA FOODS A and Western Copper and, you can compare the effects of market volatilities on SENECA 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 SENECA FOODS with a short position of Western Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of SENECA FOODS and Western Copper.
Diversification Opportunities for SENECA FOODS and Western Copper
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SENECA and Western is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding SENECA FOODS A and Western Copper and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Copper and SENECA 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 SENECA FOODS A 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 SENECA FOODS i.e., SENECA FOODS and Western Copper go up and down completely randomly.
Pair Corralation between SENECA FOODS and Western Copper
Assuming the 90 days trading horizon SENECA FOODS A is expected to generate 1.33 times more return on investment than Western Copper. However, SENECA FOODS is 1.33 times more volatile than Western Copper and. It trades about 0.12 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 6,750 in SENECA FOODS A on September 25, 2024 and sell it today you would earn a total of 350.00 from holding SENECA FOODS A or generate 5.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SENECA FOODS A vs. Western Copper and
Performance |
Timeline |
SENECA FOODS A |
Western Copper |
SENECA FOODS and Western Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SENECA FOODS and Western Copper
The main advantage of trading using opposite SENECA FOODS and Western Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SENECA 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.SENECA FOODS vs. SPORTING | SENECA FOODS vs. Ribbon Communications | SENECA FOODS vs. Darden Restaurants | SENECA FOODS vs. NTG Nordic Transport |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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