Correlation Between American Funds and American Funds
Can any of the company-specific risk be diversified away by investing in both American Funds and American Funds 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 American Funds 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 American Funds Capital, you can compare the effects of market volatilities on American Funds and American Funds 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 American Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and American Funds.
Diversification Opportunities for American Funds and American Funds
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between American and American is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding American Funds Fundamental and American Funds Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Funds Capital 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 American Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Funds Capital has no effect on the direction of American Funds i.e., American Funds and American Funds go up and down completely randomly.
Pair Corralation between American Funds and American Funds
Assuming the 90 days horizon American Funds Fundamental is expected to generate 2.06 times more return on investment than American Funds. However, American Funds is 2.06 times more volatile than American Funds Capital. It trades about 0.11 of its potential returns per unit of risk. American Funds Capital is currently generating about 0.02 per unit of risk. If you would invest 6,560 in American Funds Fundamental on September 12, 2024 and sell it today you would earn a total of 2,333 from holding American Funds Fundamental or generate 35.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
American Funds Fundamental vs. American Funds Capital
Performance |
Timeline |
American Funds Funda |
American Funds Capital |
American Funds and American Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and American Funds
The main advantage of trading using opposite American Funds and American Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, American Funds 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 American Funds will offset losses from the drop in American Funds' long position.American Funds vs. Lord Abbett Affiliated | American Funds vs. Dana Large Cap | American Funds vs. Aqr Large Cap | American Funds vs. Virtus Nfj Large Cap |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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