Correlation Between China Gold and Galore Resources
Can any of the company-specific risk be diversified away by investing in both China Gold and Galore 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 China Gold and Galore Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Gold International and Galore Resources, you can compare the effects of market volatilities on China Gold and Galore 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 China Gold with a short position of Galore Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Gold and Galore Resources.
Diversification Opportunities for China Gold and Galore Resources
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between China and Galore is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding China Gold International and Galore Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galore Resources and China 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 China Gold International are associated (or correlated) with Galore Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galore Resources has no effect on the direction of China Gold i.e., China Gold and Galore Resources go up and down completely randomly.
Pair Corralation between China Gold and Galore Resources
Assuming the 90 days trading horizon China Gold is expected to generate 16.92 times less return on investment than Galore Resources. But when comparing it to its historical volatility, China Gold International is 7.46 times less risky than Galore Resources. It trades about 0.04 of its potential returns per unit of risk. Galore Resources is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 2.00 in Galore Resources on September 27, 2024 and sell it today you would lose (1.00) from holding Galore Resources or give up 50.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Gold International vs. Galore Resources
Performance |
Timeline |
China Gold International |
Galore Resources |
China Gold and Galore Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Gold and Galore Resources
The main advantage of trading using opposite China Gold and Galore Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Gold position performs unexpectedly, Galore 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 Galore Resources will offset losses from the drop in Galore Resources' long position.China Gold vs. Precipitate Gold Corp | China Gold vs. Chakana Copper Corp | China Gold vs. ROKMASTER Resources Corp | China Gold vs. Rugby Mining Limited |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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