Correlation Between Asg Managed and Grant Park
Can any of the company-specific risk be diversified away by investing in both Asg Managed and Grant Park 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 Asg Managed and Grant Park into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asg Managed Futures and Grant Park Multi, you can compare the effects of market volatilities on Asg Managed and Grant Park 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 Asg Managed with a short position of Grant Park. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asg Managed and Grant Park.
Diversification Opportunities for Asg Managed and Grant Park
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Asg and Grant is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Asg Managed Futures and Grant Park Multi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grant Park Multi and Asg Managed 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 Asg Managed Futures are associated (or correlated) with Grant Park. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grant Park Multi has no effect on the direction of Asg Managed i.e., Asg Managed and Grant Park go up and down completely randomly.
Pair Corralation between Asg Managed and Grant Park
Assuming the 90 days horizon Asg Managed is expected to generate 2.23 times less return on investment than Grant Park. In addition to that, Asg Managed is 2.06 times more volatile than Grant Park Multi. It trades about 0.05 of its total potential returns per unit of risk. Grant Park Multi is currently generating about 0.25 per unit of volatility. If you would invest 1,065 in Grant Park Multi on September 12, 2024 and sell it today you would earn a total of 14.00 from holding Grant Park Multi or generate 1.31% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Asg Managed Futures vs. Grant Park Multi
Performance |
| Timeline |
| Asg Managed Futures |
| Grant Park Multi |
Asg Managed and Grant Park Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Asg Managed and Grant Park
The main advantage of trading using opposite Asg Managed and Grant Park positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asg Managed position performs unexpectedly, Grant Park 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 Grant Park will offset losses from the drop in Grant Park's long position.| Asg Managed vs. Pimco Trends Managed | Asg Managed vs. Pimco Trends Managed | Asg Managed vs. SCOR PK | Asg Managed vs. Morningstar Unconstrained Allocation |
| Grant Park vs. Pimco Trends Managed | Grant Park vs. Pimco Trends Managed | Grant Park vs. SCOR PK | Grant Park vs. Morningstar Unconstrained Allocation |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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