Correlation Between Maple Leaf and Cobalt Power
Can any of the company-specific risk be diversified away by investing in both Maple Leaf and Cobalt Power 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 Maple Leaf and Cobalt Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Maple Leaf Foods and Cobalt Power Group, you can compare the effects of market volatilities on Maple Leaf and Cobalt Power 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 Maple Leaf with a short position of Cobalt Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maple Leaf and Cobalt Power.
Diversification Opportunities for Maple Leaf and Cobalt Power
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Maple and Cobalt is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Maple Leaf Foods and Cobalt Power Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cobalt Power Group and Maple Leaf 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 Maple Leaf Foods are associated (or correlated) with Cobalt Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cobalt Power Group has no effect on the direction of Maple Leaf i.e., Maple Leaf and Cobalt Power go up and down completely randomly.
Pair Corralation between Maple Leaf and Cobalt Power
Assuming the 90 days trading horizon Maple Leaf Foods is expected to under-perform the Cobalt Power. But the stock apears to be less risky and, when comparing its historical volatility, Maple Leaf Foods is 5.94 times less risky than Cobalt Power. The stock trades about -0.26 of its potential returns per unit of risk. The Cobalt Power Group is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2.00 in Cobalt Power Group on September 22, 2024 and sell it today you would earn a total of 0.00 from holding Cobalt Power Group or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Maple Leaf Foods vs. Cobalt Power Group
Performance |
Timeline |
Maple Leaf Foods |
Cobalt Power Group |
Maple Leaf and Cobalt Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Maple Leaf and Cobalt Power
The main advantage of trading using opposite Maple Leaf and Cobalt Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maple Leaf position performs unexpectedly, Cobalt Power 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 Cobalt Power will offset losses from the drop in Cobalt Power's long position.Maple Leaf vs. Saputo Inc | Maple Leaf vs. George Weston Limited | Maple Leaf vs. Empire Company Limited | Maple Leaf vs. Premium Brands Holdings |
Cobalt Power vs. Maple Leaf Foods | Cobalt Power vs. Nicola Mining | Cobalt Power vs. Advent Wireless | Cobalt Power vs. Western Copper and |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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