Correlation Between JPMorgan Chase and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase 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 JPMorgan Chase and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JPMorgan Chase Co and Segall Bryant Hamill, you can compare the effects of market volatilities on JPMorgan Chase 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 JPMorgan Chase with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and Segall Bryant.
Diversification Opportunities for JPMorgan Chase and Segall Bryant
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between JPMorgan and Segall is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co 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 JPMorgan Chase 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 JPMorgan Chase Co 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 JPMorgan Chase i.e., JPMorgan Chase and Segall Bryant go up and down completely randomly.
Pair Corralation between JPMorgan Chase and Segall Bryant
Considering the 90-day investment horizon JPMorgan Chase Co is expected to generate 3.1 times more return on investment than Segall Bryant. However, JPMorgan Chase is 3.1 times more volatile than Segall Bryant Hamill. It trades about 0.21 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.38 per unit of risk. If you would invest 22,192 in JPMorgan Chase Co on September 1, 2024 and sell it today you would earn a total of 2,780 from holding JPMorgan Chase Co or generate 12.53% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 95.45% |
| Values | Daily Returns |
JPMorgan Chase Co vs. Segall Bryant Hamill
Performance |
| Timeline |
| JPMorgan Chase |
| Segall Bryant Hamill |
JPMorgan Chase and Segall Bryant Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with JPMorgan Chase and Segall Bryant
The main advantage of trading using opposite JPMorgan Chase and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase 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.| JPMorgan Chase vs. Citigroup | JPMorgan Chase vs. Nu Holdings | JPMorgan Chase vs. HSBC Holdings PLC | JPMorgan Chase vs. Bank of Montreal |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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