Correlation Between Greenspring Fund and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Greenspring Fund 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 Greenspring Fund and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Greenspring Fund Retail and Segall Bryant Hamill, you can compare the effects of market volatilities on Greenspring Fund 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 Greenspring Fund with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Greenspring Fund and Segall Bryant.
Diversification Opportunities for Greenspring Fund and Segall Bryant
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Greenspring and Segall is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Greenspring Fund Retail 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 Greenspring Fund 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 Greenspring Fund Retail 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 Greenspring Fund i.e., Greenspring Fund and Segall Bryant go up and down completely randomly.
Pair Corralation between Greenspring Fund and Segall Bryant
Assuming the 90 days horizon Greenspring Fund is expected to generate 1.05 times less return on investment than Segall Bryant. In addition to that, Greenspring Fund is 1.14 times more volatile than Segall Bryant Hamill. It trades about 0.21 of its total potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.25 per unit of volatility. If you would invest 1,214 in Segall Bryant Hamill on May 2, 2025 and sell it today you would earn a total of 130.00 from holding Segall Bryant Hamill or generate 10.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
Greenspring Fund Retail vs. Segall Bryant Hamill
Performance |
Timeline |
Greenspring Fund Retail |
Segall Bryant Hamill |
Greenspring Fund and Segall Bryant Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Greenspring Fund and Segall Bryant
The main advantage of trading using opposite Greenspring Fund and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Greenspring Fund 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.Greenspring Fund vs. Berwyn Income Fund | Greenspring Fund vs. Fpa Crescent Fund | Greenspring Fund vs. James Balanced Golden | Greenspring Fund vs. Permanent Portfolio Class |
Segall Bryant vs. Rmb Mendon Financial | Segall Bryant vs. 1919 Financial Services | Segall Bryant vs. Blackrock Financial Institutions | Segall Bryant vs. Fidelity Advisor Financial |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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