Correlation Between New Economy and Amcap Fund
Can any of the company-specific risk be diversified away by investing in both New Economy and Amcap 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 New Economy and Amcap Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New Economy Fund and Amcap Fund Class, you can compare the effects of market volatilities on New Economy and Amcap 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 New Economy with a short position of Amcap Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Economy and Amcap Fund.
Diversification Opportunities for New Economy and Amcap Fund
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between New and Amcap is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding New Economy Fund and Amcap Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amcap Fund Class and New Economy 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 New Economy Fund are associated (or correlated) with Amcap Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amcap Fund Class has no effect on the direction of New Economy i.e., New Economy and Amcap Fund go up and down completely randomly.
Pair Corralation between New Economy and Amcap Fund
Assuming the 90 days horizon New Economy Fund is expected to generate 1.02 times more return on investment than Amcap Fund. However, New Economy is 1.02 times more volatile than Amcap Fund Class. It trades about 0.09 of its potential returns per unit of risk. Amcap Fund Class is currently generating about 0.09 per unit of risk. If you would invest 4,256 in New Economy Fund on August 27, 2024 and sell it today you would earn a total of 2,156 from holding New Economy Fund or generate 50.66% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
New Economy Fund vs. Amcap Fund Class
Performance |
| Timeline |
| New Economy Fund |
| Amcap Fund Class |
New Economy and Amcap Fund Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with New Economy and Amcap Fund
The main advantage of trading using opposite New Economy and Amcap Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Economy position performs unexpectedly, Amcap 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 Amcap Fund will offset losses from the drop in Amcap Fund's long position.| New Economy vs. Target Retirement 2040 | New Economy vs. Fidelity Managed Retirement | New Economy vs. Jp Morgan Smartretirement | New Economy vs. Qs Moderate Growth |
| Amcap Fund vs. Income Fund Of | Amcap Fund vs. New World Fund | Amcap Fund vs. American Mutual Fund | Amcap Fund vs. American Mutual 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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