Correlation Between American Funds and Income Fund
Can any of the company-specific risk be diversified away by investing in both American Funds and Income Fund 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 Income Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds 2060 and Income Fund Of, you can compare the effects of market volatilities on American Funds and Income Fund 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 Income Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Income Fund.
Diversification Opportunities for American Funds and Income Fund
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between American and Income is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding American Funds 2060 and Income Fund Of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Income Fund 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 2060 are associated (or correlated) with Income Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Income Fund has no effect on the direction of American Funds i.e., American Funds and Income Fund go up and down completely randomly.
Pair Corralation between American Funds and Income Fund
Assuming the 90 days horizon American Funds 2060 is expected to generate 1.57 times more return on investment than Income Fund. However, American Funds is 1.57 times more volatile than Income Fund Of. It trades about 0.12 of its potential returns per unit of risk. Income Fund Of is currently generating about 0.02 per unit of risk. If you would invest 1,871 in American Funds 2060 on September 14, 2024 and sell it today you would earn a total of 24.00 from holding American Funds 2060 or generate 1.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
American Funds 2060 vs. Income Fund Of
Performance |
| Timeline |
| American Funds 2060 |
| Income Fund |
American Funds and Income Fund Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with American Funds and Income Fund
The main advantage of trading using opposite American Funds and Income Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, Income Fund 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 Income Fund will offset losses from the drop in Income Fund's long position.| American Funds vs. Income Fund Of | American Funds vs. New World Fund | American Funds vs. American Mutual Fund | American Funds vs. American Mutual Fund |
| Income Fund vs. Capital Income Builder | Income Fund vs. Capital World Growth | Income Fund vs. American Balanced | Income Fund vs. American Funds Fundamental |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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