Correlation Between American Mutual and Large-cap Growth
Can any of the company-specific risk be diversified away by investing in both American Mutual and Large-cap Growth 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 Large-cap Growth 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 Large Cap Growth Profund, you can compare the effects of market volatilities on American Mutual and Large-cap Growth 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 Large-cap Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Mutual and Large-cap Growth.
Diversification Opportunities for American Mutual and Large-cap Growth
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between American and Large-cap is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding American Mutual Fund and Large Cap Growth Profund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Large Cap Growth 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 Large-cap Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Large Cap Growth has no effect on the direction of American Mutual i.e., American Mutual and Large-cap Growth go up and down completely randomly.
Pair Corralation between American Mutual and Large-cap Growth
Assuming the 90 days horizon American Mutual Fund is expected to generate 0.47 times more return on investment than Large-cap Growth. However, American Mutual Fund is 2.14 times less risky than Large-cap Growth. It trades about 0.13 of its potential returns per unit of risk. Large Cap Growth Profund is currently generating about -0.09 per unit of risk. If you would invest 5,700 in American Mutual Fund on December 4, 2024 and sell it today you would earn a total of 75.00 from holding American Mutual Fund or generate 1.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
American Mutual Fund vs. Large Cap Growth Profund
Performance |
Timeline |
American Mutual |
Large Cap Growth |
American Mutual and Large-cap Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Mutual and Large-cap Growth
The main advantage of trading using opposite American Mutual and Large-cap Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Mutual position performs unexpectedly, Large-cap Growth 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 Large-cap Growth will offset losses from the drop in Large-cap Growth's long position.American Mutual vs. Amcap Fund Class | American Mutual vs. American Balanced Fund | American Mutual vs. New Perspective Fund | American Mutual vs. New World Fund |
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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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