Correlation Between Growth Fund and American Mutual
Can any of the company-specific risk be diversified away by investing in both Growth Fund and American Mutual 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 Growth Fund and American Mutual into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Growth Fund Of and American Mutual Fund, you can compare the effects of market volatilities on Growth Fund and American Mutual 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 Growth Fund with a short position of American Mutual. Check out your portfolio center. Please also check ongoing floating volatility patterns of Growth Fund and American Mutual.
Diversification Opportunities for Growth Fund and American Mutual
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GROWTH and American is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Growth Fund Of and American Mutual Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Mutual and Growth Fund 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 Growth Fund Of are associated (or correlated) with American Mutual. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Mutual has no effect on the direction of Growth Fund i.e., Growth Fund and American Mutual go up and down completely randomly.
Pair Corralation between Growth Fund and American Mutual
Assuming the 90 days horizon Growth Fund Of is expected to generate 1.69 times more return on investment than American Mutual. However, Growth Fund is 1.69 times more volatile than American Mutual Fund. It trades about 0.08 of its potential returns per unit of risk. American Mutual Fund is currently generating about 0.09 per unit of risk. If you would invest 4,705 in Growth Fund Of on August 30, 2024 and sell it today you would earn a total of 2,388 from holding Growth Fund Of or generate 50.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.8% |
| Values | Daily Returns |
Growth Fund Of vs. American Mutual Fund
Performance |
| Timeline |
| Growth Fund |
| American Mutual |
Growth Fund and American Mutual Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Growth Fund and American Mutual
The main advantage of trading using opposite Growth Fund and American Mutual positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Growth Fund position performs unexpectedly, American Mutual 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 Mutual will offset losses from the drop in American Mutual's long position.| Growth Fund vs. Capital World Growth | Growth Fund vs. Smallcap World Fund | Growth Fund vs. Washington Mutual Investors | Growth Fund vs. Aquagold International |
| American Mutual vs. Amcap Fund Class | American Mutual vs. American Balanced Fund | American Mutual vs. New Perspective Fund | American Mutual vs. New World Fund |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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