Correlation Between Jiangxi Copper and Amerigo Resources
Can any of the company-specific risk be diversified away by investing in both Jiangxi Copper and Amerigo 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 Jiangxi Copper and Amerigo Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jiangxi Copper and Amerigo Resources, you can compare the effects of market volatilities on Jiangxi Copper and Amerigo 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 Jiangxi Copper with a short position of Amerigo Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiangxi Copper and Amerigo Resources.
Diversification Opportunities for Jiangxi Copper and Amerigo Resources
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Jiangxi and Amerigo is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Jiangxi Copper and Amerigo Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amerigo Resources and Jiangxi Copper 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 Jiangxi Copper are associated (or correlated) with Amerigo Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amerigo Resources has no effect on the direction of Jiangxi Copper i.e., Jiangxi Copper and Amerigo Resources go up and down completely randomly.
Pair Corralation between Jiangxi Copper and Amerigo Resources
Assuming the 90 days horizon Jiangxi Copper is expected to generate 3.58 times more return on investment than Amerigo Resources. However, Jiangxi Copper is 3.58 times more volatile than Amerigo Resources. It trades about 0.01 of its potential returns per unit of risk. Amerigo Resources is currently generating about -0.22 per unit of risk. If you would invest 166.00 in Jiangxi Copper on September 21, 2024 and sell it today you would lose (4.00) from holding Jiangxi Copper or give up 2.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Jiangxi Copper vs. Amerigo Resources
Performance |
Timeline |
Jiangxi Copper |
Amerigo Resources |
Jiangxi Copper and Amerigo Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiangxi Copper and Amerigo Resources
The main advantage of trading using opposite Jiangxi Copper and Amerigo Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiangxi Copper position performs unexpectedly, Amerigo 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 Amerigo Resources will offset losses from the drop in Amerigo Resources' long position.Jiangxi Copper vs. Copper Fox Metals | Jiangxi Copper vs. Imperial Metals | Jiangxi Copper vs. Bell Copper | Jiangxi Copper vs. Arizona Sonoran Copper |
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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 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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