Correlation Between American Funds and Investment
Can any of the company-specific risk be diversified away by investing in both American Funds and Investment 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 Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds Strategic and Investment Of America, you can compare the effects of market volatilities on American Funds and Investment 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 Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Investment.
Diversification Opportunities for American Funds and Investment
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between American and Investment is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding American Funds Strategic and Investment Of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Investment Of America 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 Strategic are associated (or correlated) with Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Investment Of America has no effect on the direction of American Funds i.e., American Funds and Investment go up and down completely randomly.
Pair Corralation between American Funds and Investment
Assuming the 90 days horizon American Funds Strategic is expected to under-perform the Investment. But the mutual fund apears to be less risky and, when comparing its historical volatility, American Funds Strategic is 2.27 times less risky than Investment. The mutual fund trades about -0.08 of its potential returns per unit of risk. The Investment Of America is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 5,799 in Investment Of America on September 3, 2024 and sell it today you would earn a total of 485.00 from holding Investment Of America or generate 8.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
American Funds Strategic vs. Investment Of America
Performance |
Timeline |
American Funds Strategic |
Investment Of America |
American Funds and Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and Investment
The main advantage of trading using opposite American Funds and Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, Investment 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 Investment will offset losses from the drop in Investment's long position.American Funds vs. Blackrock High Yield | American Funds vs. Gmo High Yield | American Funds vs. Alpine High Yield | American Funds vs. Virtus High Yield |
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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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