Correlation Between Amer Beacon and American Beacon
Can any of the company-specific risk be diversified away by investing in both Amer Beacon 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 Amer Beacon and American Beacon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amer Beacon Garcia and American Beacon Stephens, you can compare the effects of market volatilities on Amer Beacon 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 Amer Beacon with a short position of American Beacon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amer Beacon and American Beacon.
Diversification Opportunities for Amer Beacon and American Beacon
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Amer and American is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Amer Beacon Garcia and American Beacon Stephens in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Beacon Stephens and Amer Beacon 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 Amer Beacon Garcia 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 Stephens has no effect on the direction of Amer Beacon i.e., Amer Beacon and American Beacon go up and down completely randomly.
Pair Corralation between Amer Beacon and American Beacon
Assuming the 90 days horizon Amer Beacon is expected to generate 5.61 times less return on investment than American Beacon. But when comparing it to its historical volatility, Amer Beacon Garcia is 2.25 times less risky than American Beacon. It trades about 0.02 of its potential returns per unit of risk. American Beacon Stephens is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,371 in American Beacon Stephens on August 26, 2024 and sell it today you would earn a total of 311.00 from holding American Beacon Stephens or generate 22.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amer Beacon Garcia vs. American Beacon Stephens
Performance |
Timeline |
Amer Beacon Garcia |
American Beacon Stephens |
Amer Beacon and American Beacon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amer Beacon and American Beacon
The main advantage of trading using opposite Amer Beacon and American Beacon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amer Beacon 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.Amer Beacon vs. American Beacon Ssi | Amer Beacon vs. American Beacon Bridgeway | Amer Beacon vs. American Beacon Bridgeway | Amer Beacon vs. American Beacon Twentyfour |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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