Correlation Between Grant Park and Asg Managed
Can any of the company-specific risk be diversified away by investing in both Grant Park and Asg Managed 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 Grant Park and Asg Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grant Park Multi and Asg Managed Futures, you can compare the effects of market volatilities on Grant Park and Asg Managed 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 Grant Park with a short position of Asg Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grant Park and Asg Managed.
Diversification Opportunities for Grant Park and Asg Managed
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Grant and Asg is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Grant Park Multi and Asg Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asg Managed Futures and Grant Park 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 Grant Park Multi are associated (or correlated) with Asg Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asg Managed Futures has no effect on the direction of Grant Park i.e., Grant Park and Asg Managed go up and down completely randomly.
Pair Corralation between Grant Park and Asg Managed
Assuming the 90 days horizon Grant Park Multi is expected to under-perform the Asg Managed. But the mutual fund apears to be less risky and, when comparing its historical volatility, Grant Park Multi is 1.25 times less risky than Asg Managed. The mutual fund trades about -0.15 of its potential returns per unit of risk. The Asg Managed Futures is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 868.00 in Asg Managed Futures on September 28, 2024 and sell it today you would earn a total of 3.00 from holding Asg Managed Futures or generate 0.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.24% |
Values | Daily Returns |
Grant Park Multi vs. Asg Managed Futures
Performance |
Timeline |
Grant Park Multi |
Asg Managed Futures |
Grant Park and Asg Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grant Park and Asg Managed
The main advantage of trading using opposite Grant Park and Asg Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grant Park position performs unexpectedly, Asg Managed 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 Asg Managed will offset losses from the drop in Asg Managed's long position.Grant Park vs. Columbia Ultra Short | Grant Park vs. T Rowe Price | Grant Park vs. Fidelity Advisor Technology | Grant Park vs. Ashmore Emerging Markets |
Asg Managed vs. Aqr Managed Futures | Asg Managed vs. Pimco Trends Managed | Asg Managed vs. Eaton Vance Global | Asg Managed vs. Aqr Managed Futures |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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