Correlation Between Asg Managed and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Asg Managed and Segall Bryant 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 Segall Bryant 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 Segall Bryant Hamill, you can compare the effects of market volatilities on Asg Managed and Segall Bryant 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 Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asg Managed and Segall Bryant.
Diversification Opportunities for Asg Managed and Segall Bryant
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Asg and Segall is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Asg Managed Futures and Segall Bryant Hamill in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Segall Bryant Hamill 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 Segall Bryant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Segall Bryant Hamill has no effect on the direction of Asg Managed i.e., Asg Managed and Segall Bryant go up and down completely randomly.
Pair Corralation between Asg Managed and Segall Bryant
Assuming the 90 days horizon Asg Managed Futures is expected to under-perform the Segall Bryant. But the mutual fund apears to be less risky and, when comparing its historical volatility, Asg Managed Futures is 1.02 times less risky than Segall Bryant. The mutual fund trades about -0.12 of its potential returns per unit of risk. The Segall Bryant Hamill is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 2,157 in Segall Bryant Hamill on September 1, 2024 and sell it today you would earn a total of 268.00 from holding Segall Bryant Hamill or generate 12.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.21% |
| Values | Daily Returns |
Asg Managed Futures vs. Segall Bryant Hamill
Performance |
| Timeline |
| Asg Managed Futures |
| Segall Bryant Hamill |
Asg Managed and Segall Bryant Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Asg Managed and Segall Bryant
The main advantage of trading using opposite Asg Managed and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asg Managed position performs unexpectedly, Segall Bryant 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 Segall Bryant will offset losses from the drop in Segall Bryant's long position.| Asg Managed vs. Aqr Managed Futures | Asg Managed vs. Pimco Trends Managed | Asg Managed vs. Eaton Vance Global | Asg Managed vs. Aqr Managed Futures |
| Segall Bryant vs. Asg Managed Futures | Segall Bryant vs. Aqr Managed Futures | Segall Bryant vs. Ab Bond Inflation | Segall Bryant vs. Oklahoma College Savings |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Other Complementary Tools
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |