Correlation Between GoGold Resources and Blackwolf Copper
Can any of the company-specific risk be diversified away by investing in both GoGold Resources and Blackwolf 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 GoGold Resources and Blackwolf Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GoGold Resources and Blackwolf Copper And, you can compare the effects of market volatilities on GoGold Resources and Blackwolf 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 GoGold Resources with a short position of Blackwolf Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of GoGold Resources and Blackwolf Copper.
Diversification Opportunities for GoGold Resources and Blackwolf Copper
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between GoGold and Blackwolf is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding GoGold Resources and Blackwolf Copper And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blackwolf Copper And and GoGold Resources 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 GoGold Resources are associated (or correlated) with Blackwolf Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blackwolf Copper And has no effect on the direction of GoGold Resources i.e., GoGold Resources and Blackwolf Copper go up and down completely randomly.
Pair Corralation between GoGold Resources and Blackwolf Copper
Assuming the 90 days horizon GoGold Resources is expected to generate 1.16 times more return on investment than Blackwolf Copper. However, GoGold Resources is 1.16 times more volatile than Blackwolf Copper And. It trades about -0.02 of its potential returns per unit of risk. Blackwolf Copper And is currently generating about -0.12 per unit of risk. If you would invest 110.00 in GoGold Resources on September 1, 2024 and sell it today you would lose (18.00) from holding GoGold Resources or give up 16.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 18.25% |
Values | Daily Returns |
GoGold Resources vs. Blackwolf Copper And
Performance |
Timeline |
GoGold Resources |
Blackwolf Copper And |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
GoGold Resources and Blackwolf Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GoGold Resources and Blackwolf Copper
The main advantage of trading using opposite GoGold Resources and Blackwolf Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GoGold Resources position performs unexpectedly, Blackwolf 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 Blackwolf Copper will offset losses from the drop in Blackwolf Copper's long position.GoGold Resources vs. South32 Limited | GoGold Resources vs. NioCorp Developments Ltd | GoGold Resources vs. HUMANA INC | GoGold Resources vs. SCOR PK |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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