Correlation Between American Mutual and American Funds
Can any of the company-specific risk be diversified away by investing in both American Mutual 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 Mutual 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 Mutual Fund and American Funds Capital, you can compare the effects of market volatilities on American Mutual 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 Mutual with a short position of American Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Mutual and American Funds.
Diversification Opportunities for American Mutual and American Funds
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between American and American is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding American Mutual Fund 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 Mutual 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 Mutual Fund 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 Mutual i.e., American Mutual and American Funds go up and down completely randomly.
Pair Corralation between American Mutual and American Funds
Assuming the 90 days horizon American Mutual Fund is expected to under-perform the American Funds. But the mutual fund apears to be less risky and, when comparing its historical volatility, American Mutual Fund is 1.32 times less risky than American Funds. The mutual fund trades about -0.33 of its potential returns per unit of risk. The American Funds Capital is currently generating about -0.21 of returns per unit of risk over similar time horizon. If you would invest 6,856 in American Funds Capital on September 24, 2024 and sell it today you would lose (490.00) from holding American Funds Capital or give up 7.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
American Mutual Fund vs. American Funds Capital
Performance |
Timeline |
American Mutual |
American Funds Capital |
American Mutual and American Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Mutual and American Funds
The main advantage of trading using opposite American Mutual and American Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Mutual 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 Mutual vs. Franklin High Yield | American Mutual vs. Doubleline Yield Opportunities | American Mutual vs. T Rowe Price | American Mutual vs. Blrc Sgy Mnp |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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