Correlation Between GoGold Resources and Ximen Mining
Can any of the company-specific risk be diversified away by investing in both GoGold Resources and Ximen Mining 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 Ximen Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GoGold Resources and Ximen Mining Corp, you can compare the effects of market volatilities on GoGold Resources and Ximen Mining 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 Ximen Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of GoGold Resources and Ximen Mining.
Diversification Opportunities for GoGold Resources and Ximen Mining
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GoGold and Ximen is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding GoGold Resources and Ximen Mining Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ximen Mining Corp 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 Ximen Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ximen Mining Corp has no effect on the direction of GoGold Resources i.e., GoGold Resources and Ximen Mining go up and down completely randomly.
Pair Corralation between GoGold Resources and Ximen Mining
Assuming the 90 days trading horizon GoGold Resources is expected to generate 1.89 times less return on investment than Ximen Mining. But when comparing it to its historical volatility, GoGold Resources is 2.84 times less risky than Ximen Mining. It trades about 0.02 of its potential returns per unit of risk. Ximen Mining Corp is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 17.00 in Ximen Mining Corp on October 7, 2024 and sell it today you would lose (9.50) from holding Ximen Mining Corp or give up 55.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.56% |
Values | Daily Returns |
GoGold Resources vs. Ximen Mining Corp
Performance |
Timeline |
GoGold Resources |
Ximen Mining Corp |
GoGold Resources and Ximen Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GoGold Resources and Ximen Mining
The main advantage of trading using opposite GoGold Resources and Ximen Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GoGold Resources position performs unexpectedly, Ximen Mining 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 Ximen Mining will offset losses from the drop in Ximen Mining's long position.GoGold Resources vs. Defiance Silver Corp | GoGold Resources vs. Liberty Gold Corp | GoGold Resources vs. Dolly Varden Silver | GoGold Resources vs. Minaurum Gold |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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