Correlation Between Auer Growth and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Auer Growth 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 Auer Growth and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Auer Growth Fund and Segall Bryant Hamill, you can compare the effects of market volatilities on Auer Growth 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 Auer Growth with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Auer Growth and Segall Bryant.
Diversification Opportunities for Auer Growth and Segall Bryant
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Auer and Segall is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Auer Growth 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 Auer Growth 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 Auer Growth 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 Auer Growth i.e., Auer Growth and Segall Bryant go up and down completely randomly.
Pair Corralation between Auer Growth and Segall Bryant
Assuming the 90 days horizon Auer Growth is expected to generate 1.08 times less return on investment than Segall Bryant. But when comparing it to its historical volatility, Auer Growth Fund is 1.41 times less risky than Segall Bryant. It trades about 0.09 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,270 in Segall Bryant Hamill on September 12, 2024 and sell it today you would earn a total of 66.00 from holding Segall Bryant Hamill or generate 5.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Auer Growth Fund vs. Segall Bryant Hamill
Performance |
Timeline |
Auer Growth Fund |
Segall Bryant Hamill |
Auer Growth and Segall Bryant Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Auer Growth and Segall Bryant
The main advantage of trading using opposite Auer Growth and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Auer Growth 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.Auer Growth vs. Lebenthal Lisanti Small | Auer Growth vs. Hodges Small Cap | Auer Growth vs. Schwartz Value Focused | Auer Growth vs. Oberweis Small Cap Opportunities |
Segall Bryant vs. Columbia Moderate Growth | Segall Bryant vs. Fidelity Managed Retirement | Segall Bryant vs. Deutsche Multi Asset Moderate | Segall Bryant vs. Franklin Lifesmart Retirement |
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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