Correlation Between Astor Long/short and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Astor Long/short 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 Astor Long/short and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astor Longshort Fund and Segall Bryant Hamill, you can compare the effects of market volatilities on Astor Long/short 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 Astor Long/short with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astor Long/short and Segall Bryant.
Diversification Opportunities for Astor Long/short and Segall Bryant
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Astor and Segall is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Astor Longshort Fund 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 Astor Long/short 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 Astor Longshort Fund 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 Astor Long/short i.e., Astor Long/short and Segall Bryant go up and down completely randomly.
Pair Corralation between Astor Long/short and Segall Bryant
Assuming the 90 days horizon Astor Long/short is expected to generate 2.24 times less return on investment than Segall Bryant. But when comparing it to its historical volatility, Astor Longshort Fund is 3.85 times less risky than Segall Bryant. It trades about 0.24 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1,506 in Segall Bryant Hamill on September 3, 2024 and sell it today you would earn a total of 182.00 from holding Segall Bryant Hamill or generate 12.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Astor Longshort Fund vs. Segall Bryant Hamill
Performance |
Timeline |
Astor Long/short |
Segall Bryant Hamill |
Astor Long/short and Segall Bryant Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astor Long/short and Segall Bryant
The main advantage of trading using opposite Astor Long/short and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astor Long/short 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.Astor Long/short vs. Fpa Queens Road | Astor Long/short vs. American Century Etf | Astor Long/short vs. Mutual Of America | Astor Long/short vs. Mid Cap Value Profund |
Segall Bryant vs. Jhancock Short Duration | Segall Bryant vs. Locorr Longshort Modities | Segall Bryant vs. Limited Term Tax | Segall Bryant vs. Astor Longshort Fund |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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