Correlation Between American Funds and Copper 360
Can any of the company-specific risk be diversified away by investing in both American Funds and Copper 360 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 American Funds and Copper 360 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds Fundamental and Copper 360, you can compare the effects of market volatilities on American Funds and Copper 360 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 American Funds with a short position of Copper 360. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Copper 360.
Diversification Opportunities for American Funds and Copper 360
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between American and Copper is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding American Funds Fundamental and Copper 360 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Copper 360 and American Funds 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 American Funds Fundamental are associated (or correlated) with Copper 360. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Copper 360 has no effect on the direction of American Funds i.e., American Funds and Copper 360 go up and down completely randomly.
Pair Corralation between American Funds and Copper 360
Assuming the 90 days horizon American Funds Fundamental is expected to generate 0.38 times more return on investment than Copper 360. However, American Funds Fundamental is 2.64 times less risky than Copper 360. It trades about 0.2 of its potential returns per unit of risk. Copper 360 is currently generating about -0.04 per unit of risk. If you would invest 8,096 in American Funds Fundamental on November 3, 2024 and sell it today you would earn a total of 322.00 from holding American Funds Fundamental or generate 3.98% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 90.91% |
| Values | Daily Returns |
American Funds Fundamental vs. Copper 360
Performance |
| Timeline |
| American Funds Funda |
| Copper 360 |
American Funds and Copper 360 Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with American Funds and Copper 360
The main advantage of trading using opposite American Funds and Copper 360 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, Copper 360 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 Copper 360 will offset losses from the drop in Copper 360's long position.| American Funds vs. Federated Emerging Market | American Funds vs. Siit Emerging Markets | American Funds vs. Mid Cap 15x Strategy | American Funds vs. Ashmore Emerging Markets |
| Copper 360 vs. Prosus NV | Copper 360 vs. Compagnie Financire Richemont | Copper 360 vs. British American Tobacco | Copper 360 vs. Glencore PLC |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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