Correlation Between Fidelity California and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Fidelity California 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 Fidelity California and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity California Municipal and Segall Bryant Hamill, you can compare the effects of market volatilities on Fidelity California 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 Fidelity California with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity California and Segall Bryant.
Diversification Opportunities for Fidelity California and Segall Bryant
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fidelity and Segall is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity California Municipal 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 Fidelity California 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 Fidelity California Municipal 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 Fidelity California i.e., Fidelity California and Segall Bryant go up and down completely randomly.
Pair Corralation between Fidelity California and Segall Bryant
Assuming the 90 days horizon Fidelity California Municipal is expected to generate 0.17 times more return on investment than Segall Bryant. However, Fidelity California Municipal is 5.89 times less risky than Segall Bryant. It trades about -0.07 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about -0.28 per unit of risk. If you would invest 1,216 in Fidelity California Municipal on December 20, 2024 and sell it today you would lose (4.00) from holding Fidelity California Municipal or give up 0.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity California Municipal vs. Segall Bryant Hamill
Performance |
Timeline |
Fidelity California |
Segall Bryant Hamill |
Fidelity California and Segall Bryant Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity California and Segall Bryant
The main advantage of trading using opposite Fidelity California and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity California 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.Fidelity California vs. Fwnhtx | Fidelity California vs. Aam Select Income | Fidelity California vs. Fznopx | Fidelity California vs. Ftufox |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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