Correlation Between Transamerica Large and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Transamerica Large 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 Transamerica Large and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Transamerica Large Cap and Segall Bryant Hamill, you can compare the effects of market volatilities on Transamerica Large 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 Transamerica Large with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Transamerica Large and Segall Bryant.
Diversification Opportunities for Transamerica Large and Segall Bryant
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Transamerica and Segall is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Transamerica Large Cap 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 Transamerica Large 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 Transamerica Large Cap 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 Transamerica Large i.e., Transamerica Large and Segall Bryant go up and down completely randomly.
Pair Corralation between Transamerica Large and Segall Bryant
Assuming the 90 days horizon Transamerica Large Cap is expected to generate 0.38 times more return on investment than Segall Bryant. However, Transamerica Large Cap is 2.6 times less risky than Segall Bryant. It trades about -0.17 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about -0.21 per unit of risk. If you would invest 1,522 in Transamerica Large Cap on December 4, 2024 and sell it today you would lose (23.00) from holding Transamerica Large Cap or give up 1.51% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Transamerica Large Cap vs. Segall Bryant Hamill
Performance |
| Timeline |
| Transamerica Large Cap |
| Segall Bryant Hamill |
Transamerica Large and Segall Bryant Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Transamerica Large and Segall Bryant
The main advantage of trading using opposite Transamerica Large and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Transamerica Large 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.| Transamerica Large vs. Transamerica Emerging Markets | Transamerica Large vs. Transamerica Emerging Markets | Transamerica Large vs. Transamerica Asset Allocation |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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