Correlation Between Osisko Metals and Gossan Resources
Can any of the company-specific risk be diversified away by investing in both Osisko Metals and Gossan Resources 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 Osisko Metals and Gossan Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Osisko Metals and Gossan Resources, you can compare the effects of market volatilities on Osisko Metals and Gossan Resources 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 Osisko Metals with a short position of Gossan Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Osisko Metals and Gossan Resources.
Diversification Opportunities for Osisko Metals and Gossan Resources
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Osisko and Gossan is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Osisko Metals and Gossan Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gossan Resources and Osisko Metals 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 Osisko Metals are associated (or correlated) with Gossan Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gossan Resources has no effect on the direction of Osisko Metals i.e., Osisko Metals and Gossan Resources go up and down completely randomly.
Pair Corralation between Osisko Metals and Gossan Resources
Given the investment horizon of 90 days Osisko Metals is expected to generate 3.25 times less return on investment than Gossan Resources. But when comparing it to its historical volatility, Osisko Metals is 2.9 times less risky than Gossan Resources. It trades about 0.04 of its potential returns per unit of risk. Gossan Resources is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 6.00 in Gossan Resources on September 26, 2024 and sell it today you would lose (4.00) from holding Gossan Resources or give up 66.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Osisko Metals vs. Gossan Resources
Performance |
Timeline |
Osisko Metals |
Gossan Resources |
Osisko Metals and Gossan Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Osisko Metals and Gossan Resources
The main advantage of trading using opposite Osisko Metals and Gossan Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Osisko Metals position performs unexpectedly, Gossan Resources 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 Gossan Resources will offset losses from the drop in Gossan Resources' long position.Osisko Metals vs. Monarca Minerals | Osisko Metals vs. Outcrop Gold Corp | Osisko Metals vs. Grande Portage Resources | Osisko Metals vs. Klondike Silver Corp |
Gossan Resources vs. Monarca Minerals | Gossan Resources vs. Outcrop Gold Corp | Gossan Resources vs. Grande Portage Resources | Gossan Resources vs. Klondike Silver Corp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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