Correlation Between American Funds and Growth Portfolio
Can any of the company-specific risk be diversified away by investing in both American Funds and Growth Portfolio 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 Growth Portfolio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds The and Growth Portfolio Class, you can compare the effects of market volatilities on American Funds and Growth Portfolio 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 Growth Portfolio. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Growth Portfolio.
Diversification Opportunities for American Funds and Growth Portfolio
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between American and Growth is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding American Funds The and Growth Portfolio Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Growth Portfolio Class 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 The are associated (or correlated) with Growth Portfolio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Growth Portfolio Class has no effect on the direction of American Funds i.e., American Funds and Growth Portfolio go up and down completely randomly.
Pair Corralation between American Funds and Growth Portfolio
Assuming the 90 days horizon American Funds The is expected to generate 0.61 times more return on investment than Growth Portfolio. However, American Funds The is 1.65 times less risky than Growth Portfolio. It trades about 0.13 of its potential returns per unit of risk. Growth Portfolio Class is currently generating about 0.07 per unit of risk. If you would invest 7,510 in American Funds The on October 21, 2024 and sell it today you would earn a total of 173.00 from holding American Funds The or generate 2.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
American Funds The vs. Growth Portfolio Class
Performance |
Timeline |
American Funds |
Growth Portfolio Class |
American Funds and Growth Portfolio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and Growth Portfolio
The main advantage of trading using opposite American Funds and Growth Portfolio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, Growth Portfolio 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 Growth Portfolio will offset losses from the drop in Growth Portfolio's long position.American Funds vs. Ftfa Franklin Templeton Growth | American Funds vs. Morningstar Aggressive Growth | American Funds vs. The Hartford Growth | American Funds vs. Qs Defensive Growth |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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