Correlation Between Segall Bryant and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Segall Bryant 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 Segall Bryant and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Segall Bryant Hamill and Segall Bryant Hamill, you can compare the effects of market volatilities on Segall Bryant 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 Segall Bryant with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Segall Bryant and Segall Bryant.
Diversification Opportunities for Segall Bryant and Segall Bryant
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Segall and Segall is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Segall Bryant Hamill 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 Segall Bryant 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 Segall Bryant Hamill 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 Segall Bryant i.e., Segall Bryant and Segall Bryant go up and down completely randomly.
Pair Corralation between Segall Bryant and Segall Bryant
Assuming the 90 days horizon Segall Bryant is expected to generate 1.02 times less return on investment than Segall Bryant. But when comparing it to its historical volatility, Segall Bryant Hamill is 1.02 times less risky than Segall Bryant. It trades about 0.1 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1,990 in Segall Bryant Hamill on August 26, 2024 and sell it today you would earn a total of 408.00 from holding Segall Bryant Hamill or generate 20.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Segall Bryant Hamill vs. Segall Bryant Hamill
Performance |
| Timeline |
| Segall Bryant Hamill |
| Segall Bryant Hamill |
Segall Bryant and Segall Bryant Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Segall Bryant and Segall Bryant
The main advantage of trading using opposite Segall Bryant and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Segall Bryant 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.| Segall Bryant vs. Siit High Yield | Segall Bryant vs. Goldman Sachs High | Segall Bryant vs. Franklin High Income | Segall Bryant vs. Artisan High Income |
| Segall Bryant vs. Segall Bryant Hamill | Segall Bryant vs. Segall Bryant Hamill | Segall Bryant vs. Segall Bryant Hamill | Segall Bryant vs. Segall Bryant Hamill |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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