Correlation Between American Funds and Mutual Of
Can any of the company-specific risk be diversified away by investing in both American Funds and Mutual Of 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 Mutual Of into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds Balanced and Mutual Of America, you can compare the effects of market volatilities on American Funds and Mutual Of 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 Mutual Of. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Mutual Of.
Diversification Opportunities for American Funds and Mutual Of
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between American and Mutual is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding American Funds Balanced and Mutual Of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mutual 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 Balanced are associated (or correlated) with Mutual Of. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mutual Of America has no effect on the direction of American Funds i.e., American Funds and Mutual Of go up and down completely randomly.
Pair Corralation between American Funds and Mutual Of
Assuming the 90 days horizon American Funds Balanced is expected to under-perform the Mutual Of. But the mutual fund apears to be less risky and, when comparing its historical volatility, American Funds Balanced is 2.35 times less risky than Mutual Of. The mutual fund trades about -0.1 of its potential returns per unit of risk. The Mutual Of America is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 1,503 in Mutual Of America on October 12, 2024 and sell it today you would lose (63.00) from holding Mutual Of America or give up 4.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
American Funds Balanced vs. Mutual Of America
Performance |
Timeline |
American Funds Balanced |
Mutual Of America |
American Funds and Mutual Of Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and Mutual Of
The main advantage of trading using opposite American Funds and Mutual Of positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, Mutual Of 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 Mutual Of will offset losses from the drop in Mutual Of's long position.American Funds vs. Mutual Of America | American Funds vs. American Century Etf | American Funds vs. William Blair Small | American Funds vs. Ultrasmall Cap Profund Ultrasmall 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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