Correlation Between Strikepoint Gold and Clean Air
Can any of the company-specific risk be diversified away by investing in both Strikepoint Gold and Clean Air 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 Strikepoint Gold and Clean Air into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Strikepoint Gold and Clean Air Metals, you can compare the effects of market volatilities on Strikepoint Gold and Clean Air 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 Strikepoint Gold with a short position of Clean Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of Strikepoint Gold and Clean Air.
Diversification Opportunities for Strikepoint Gold and Clean Air
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Strikepoint and Clean is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Strikepoint Gold and Clean Air Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Air Metals and Strikepoint Gold 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 Strikepoint Gold are associated (or correlated) with Clean Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Air Metals has no effect on the direction of Strikepoint Gold i.e., Strikepoint Gold and Clean Air go up and down completely randomly.
Pair Corralation between Strikepoint Gold and Clean Air
Assuming the 90 days horizon Strikepoint Gold is expected to generate 1.6 times less return on investment than Clean Air. In addition to that, Strikepoint Gold is 1.18 times more volatile than Clean Air Metals. It trades about 0.01 of its total potential returns per unit of risk. Clean Air Metals is currently generating about 0.02 per unit of volatility. If you would invest 13.00 in Clean Air Metals on September 13, 2024 and sell it today you would lose (7.50) from holding Clean Air Metals or give up 57.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Strikepoint Gold vs. Clean Air Metals
Performance |
Timeline |
Strikepoint Gold |
Clean Air Metals |
Strikepoint Gold and Clean Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Strikepoint Gold and Clean Air
The main advantage of trading using opposite Strikepoint Gold and Clean Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strikepoint Gold position performs unexpectedly, Clean Air 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 Clean Air will offset losses from the drop in Clean Air's long position.Strikepoint Gold vs. Foraco International SA | Strikepoint Gold vs. Geodrill Limited | Strikepoint Gold vs. Major Drilling Group | Strikepoint Gold vs. Bri Chem Corp |
Clean Air vs. Outcrop Gold Corp | Clean Air vs. Strikepoint Gold | Clean Air vs. Defiance Silver Corp | Clean Air vs. Eskay Mining 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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