Correlation Between Nasdaq-100(r) and American Beacon
Can any of the company-specific risk be diversified away by investing in both Nasdaq-100(r) and American Beacon 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 Nasdaq-100(r) and American Beacon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq 100 2x Strategy and American Beacon Funds, you can compare the effects of market volatilities on Nasdaq-100(r) and American Beacon 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 Nasdaq-100(r) with a short position of American Beacon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq-100(r) and American Beacon.
Diversification Opportunities for Nasdaq-100(r) and American Beacon
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Nasdaq-100(r) and American is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq 100 2x Strategy and American Beacon Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Beacon Funds and Nasdaq-100(r) 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 Nasdaq 100 2x Strategy are associated (or correlated) with American Beacon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Beacon Funds has no effect on the direction of Nasdaq-100(r) i.e., Nasdaq-100(r) and American Beacon go up and down completely randomly.
Pair Corralation between Nasdaq-100(r) and American Beacon
Assuming the 90 days horizon Nasdaq 100 2x Strategy is expected to under-perform the American Beacon. In addition to that, Nasdaq-100(r) is 16.33 times more volatile than American Beacon Funds. It trades about -0.11 of its total potential returns per unit of risk. American Beacon Funds is currently generating about 0.1 per unit of volatility. If you would invest 846.00 in American Beacon Funds on December 29, 2024 and sell it today you would earn a total of 9.00 from holding American Beacon Funds or generate 1.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Nasdaq 100 2x Strategy vs. American Beacon Funds
Performance |
Timeline |
Nasdaq 100 2x |
American Beacon Funds |
Nasdaq-100(r) and American Beacon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq-100(r) and American Beacon
The main advantage of trading using opposite Nasdaq-100(r) and American Beacon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq-100(r) position performs unexpectedly, American Beacon 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 Beacon will offset losses from the drop in American Beacon's long position.Nasdaq-100(r) vs. Angel Oak Multi Strategy | Nasdaq-100(r) vs. Eagle Mlp Strategy | Nasdaq-100(r) vs. Fidelity Series Emerging | Nasdaq-100(r) vs. Aqr Tm Emerging |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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