Correlation Between American Funds and Retirement Living
Can any of the company-specific risk be diversified away by investing in both American Funds and Retirement Living 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 Retirement Living into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds 2035 and Retirement Living Through, you can compare the effects of market volatilities on American Funds and Retirement Living 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 Retirement Living. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Retirement Living.
Diversification Opportunities for American Funds and Retirement Living
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between American and Retirement is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding American Funds 2035 and Retirement Living Through in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Retirement Living Through 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 2035 are associated (or correlated) with Retirement Living. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Retirement Living Through has no effect on the direction of American Funds i.e., American Funds and Retirement Living go up and down completely randomly.
Pair Corralation between American Funds and Retirement Living
Assuming the 90 days horizon American Funds 2035 is expected to generate 1.02 times more return on investment than Retirement Living. However, American Funds is 1.02 times more volatile than Retirement Living Through. It trades about -0.25 of its potential returns per unit of risk. Retirement Living Through is currently generating about -0.29 per unit of risk. If you would invest 1,965 in American Funds 2035 on October 8, 2024 and sell it today you would lose (96.00) from holding American Funds 2035 or give up 4.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
American Funds 2035 vs. Retirement Living Through
Performance |
Timeline |
American Funds 2035 |
Retirement Living Through |
American Funds and Retirement Living Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and Retirement Living
The main advantage of trading using opposite American Funds and Retirement Living positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, Retirement Living 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 Retirement Living will offset losses from the drop in Retirement Living's long position.American Funds vs. Income Fund Of | American Funds vs. American Funds 2015 | American Funds vs. New World Fund | American Funds vs. American Mutual 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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