Correlation Between Dow Jones and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Dow Jones 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 Dow Jones and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Segall Bryant Hamill, you can compare the effects of market volatilities on Dow Jones 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 Dow Jones with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Segall Bryant.
Diversification Opportunities for Dow Jones and Segall Bryant
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dow and Segall is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial 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 Dow Jones 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 Dow Jones Industrial 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 Dow Jones i.e., Dow Jones and Segall Bryant go up and down completely randomly.
Pair Corralation between Dow Jones and Segall Bryant
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Segall Bryant. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.07 times less risky than Segall Bryant. The index trades about -0.04 of its potential returns per unit of risk. The Segall Bryant Hamill is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 904.00 in Segall Bryant Hamill on December 2, 2024 and sell it today you would earn a total of 2.00 from holding Segall Bryant Hamill or generate 0.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Dow Jones Industrial vs. Segall Bryant Hamill
Performance |
Timeline |
Dow Jones and Segall Bryant Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Segall Bryant Hamill
Pair trading matchups for Segall Bryant
Pair Trading with Dow Jones and Segall Bryant
The main advantage of trading using opposite Dow Jones and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones 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.Dow Jones vs. Antero Midstream Partners | Dow Jones vs. Evergy, | Dow Jones vs. PPL Corporation | Dow Jones vs. China Resources Beer |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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