Correlation Between Income Fund and American Balanced
Can any of the company-specific risk be diversified away by investing in both Income Fund and American Balanced 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 Income Fund and American Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Income Fund Of and American Balanced Fund, you can compare the effects of market volatilities on Income Fund and American Balanced 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 Income Fund with a short position of American Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Income Fund and American Balanced.
Diversification Opportunities for Income Fund and American Balanced
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Income and American is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Income Fund Of and American Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Balanced and Income 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 Income Fund Of are associated (or correlated) with American Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Balanced has no effect on the direction of Income Fund i.e., Income Fund and American Balanced go up and down completely randomly.
Pair Corralation between Income Fund and American Balanced
Assuming the 90 days horizon Income Fund is expected to generate 1.94 times less return on investment than American Balanced. But when comparing it to its historical volatility, Income Fund Of is 1.23 times less risky than American Balanced. It trades about 0.09 of its potential returns per unit of risk. American Balanced Fund is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 3,621 in American Balanced Fund on August 29, 2024 and sell it today you would earn a total of 60.00 from holding American Balanced Fund or generate 1.66% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Income Fund Of vs. American Balanced Fund
Performance |
| Timeline |
| Income Fund |
| American Balanced |
Income Fund and American Balanced Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Income Fund and American Balanced
The main advantage of trading using opposite Income Fund and American Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Income Fund position performs unexpectedly, American Balanced 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 Balanced will offset losses from the drop in American Balanced's long position.| Income Fund vs. Capital Income Builder | Income Fund vs. Capital World Growth | Income Fund vs. American Balanced | Income Fund vs. American Funds Fundamental |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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