Correlation Between Guidepath(r) Managed and Astor Longshort
Can any of the company-specific risk be diversified away by investing in both Guidepath(r) Managed and Astor Longshort 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 Guidepath(r) Managed and Astor Longshort into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guidepath Managed Futures and Astor Longshort Fund, you can compare the effects of market volatilities on Guidepath(r) Managed and Astor Longshort 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 Guidepath(r) Managed with a short position of Astor Longshort. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guidepath(r) Managed and Astor Longshort.
Diversification Opportunities for Guidepath(r) Managed and Astor Longshort
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Guidepath(r) and Astor is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Guidepath Managed Futures and Astor Longshort Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Astor Longshort and Guidepath(r) 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 Guidepath Managed Futures are associated (or correlated) with Astor Longshort. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Astor Longshort has no effect on the direction of Guidepath(r) Managed i.e., Guidepath(r) Managed and Astor Longshort go up and down completely randomly.
Pair Corralation between Guidepath(r) Managed and Astor Longshort
Assuming the 90 days horizon Guidepath Managed Futures is expected to under-perform the Astor Longshort. In addition to that, Guidepath(r) Managed is 1.61 times more volatile than Astor Longshort Fund. It trades about -0.11 of its total potential returns per unit of risk. Astor Longshort Fund is currently generating about -0.05 per unit of volatility. If you would invest 1,271 in Astor Longshort Fund on December 29, 2024 and sell it today you would lose (19.00) from holding Astor Longshort Fund or give up 1.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Guidepath Managed Futures vs. Astor Longshort Fund
Performance |
Timeline |
Guidepath Managed Futures |
Astor Longshort |
Guidepath(r) Managed and Astor Longshort Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guidepath(r) Managed and Astor Longshort
The main advantage of trading using opposite Guidepath(r) Managed and Astor Longshort positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guidepath(r) Managed position performs unexpectedly, Astor Longshort 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 Astor Longshort will offset losses from the drop in Astor Longshort's long position.Guidepath(r) Managed vs. Access Flex High | Guidepath(r) Managed vs. Msift High Yield | Guidepath(r) Managed vs. Siit High Yield | Guidepath(r) Managed vs. Virtus High Yield |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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