Correlation Between Griffon and Western Copper
Can any of the company-specific risk be diversified away by investing in both Griffon 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 Griffon and Western Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Griffon and Western Copper and, you can compare the effects of market volatilities on Griffon 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 Griffon with a short position of Western Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Griffon and Western Copper.
Diversification Opportunities for Griffon and Western Copper
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Griffon and Western is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Griffon and Western Copper and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Copper and Griffon 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 Griffon 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 Griffon i.e., Griffon and Western Copper go up and down completely randomly.
Pair Corralation between Griffon and Western Copper
Considering the 90-day investment horizon Griffon is expected to under-perform the Western Copper. But the stock apears to be less risky and, when comparing its historical volatility, Griffon is 1.36 times less risky than Western Copper. The stock trades about -0.36 of its potential returns per unit of risk. The Western Copper and is currently generating about -0.18 of returns per unit of risk over similar time horizon. If you would invest 114.00 in Western Copper and on September 23, 2024 and sell it today you would lose (10.00) from holding Western Copper and or give up 8.77% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Griffon vs. Western Copper and
Performance |
Timeline |
Griffon |
Western Copper |
Griffon and Western Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Griffon and Western Copper
The main advantage of trading using opposite Griffon and Western Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Griffon 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.Griffon vs. Brookfield Business Partners | Griffon vs. Tejon Ranch Co | Griffon vs. Compass Diversified Holdings | Griffon vs. Steel Partners Holdings |
Western Copper vs. Fury Gold Mines | Western Copper vs. EMX Royalty Corp | Western Copper vs. Nevada King Gold | Western Copper vs. Aftermath Silver |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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