Correlation Between Segall Bryant and Jpmorgan Equity
Can any of the company-specific risk be diversified away by investing in both Segall Bryant and Jpmorgan Equity 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 Jpmorgan Equity 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 Jpmorgan Equity Income, you can compare the effects of market volatilities on Segall Bryant and Jpmorgan Equity 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 Jpmorgan Equity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Segall Bryant and Jpmorgan Equity.
Diversification Opportunities for Segall Bryant and Jpmorgan Equity
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Segall and JPMORGAN is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Segall Bryant Hamill and Jpmorgan Equity Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Equity Income 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 Jpmorgan Equity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Equity Income has no effect on the direction of Segall Bryant i.e., Segall Bryant and Jpmorgan Equity go up and down completely randomly.
Pair Corralation between Segall Bryant and Jpmorgan Equity
Assuming the 90 days horizon Segall Bryant Hamill is expected to generate 1.98 times more return on investment than Jpmorgan Equity. However, Segall Bryant is 1.98 times more volatile than Jpmorgan Equity Income. It trades about 0.14 of its potential returns per unit of risk. Jpmorgan Equity Income is currently generating about 0.19 per unit of risk. If you would invest 1,506 in Segall Bryant Hamill on September 1, 2024 and sell it today you would earn a total of 182.00 from holding Segall Bryant Hamill or generate 12.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Segall Bryant Hamill vs. Jpmorgan Equity Income
Performance |
Timeline |
Segall Bryant Hamill |
Jpmorgan Equity Income |
Segall Bryant and Jpmorgan Equity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Segall Bryant and Jpmorgan Equity
The main advantage of trading using opposite Segall Bryant and Jpmorgan Equity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Segall Bryant position performs unexpectedly, Jpmorgan Equity 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 Jpmorgan Equity will offset losses from the drop in Jpmorgan Equity's long position.Segall Bryant vs. The Gabelli Equity | Segall Bryant vs. Jpmorgan Equity Income | Segall Bryant vs. Ab Select Equity | Segall Bryant vs. Locorr Dynamic Equity |
Jpmorgan Equity vs. Jpmorgan Smartretirement 2035 | Jpmorgan Equity vs. Jpmorgan Smartretirement 2035 | Jpmorgan Equity vs. Jpmorgan Smartretirement 2035 | Jpmorgan Equity vs. Jpmorgan Smartretirement 2035 |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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