Correlation Between JPMorgan Chase and Extreme Networks
Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase and Extreme Networks 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 Extreme Networks 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 Extreme Networks, you can compare the effects of market volatilities on JPMorgan Chase and Extreme Networks 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 Extreme Networks. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and Extreme Networks.
Diversification Opportunities for JPMorgan Chase and Extreme Networks
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between JPMorgan and Extreme is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co and Extreme Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Extreme Networks 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 Extreme Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Extreme Networks has no effect on the direction of JPMorgan Chase i.e., JPMorgan Chase and Extreme Networks go up and down completely randomly.
Pair Corralation between JPMorgan Chase and Extreme Networks
Considering the 90-day investment horizon JPMorgan Chase is expected to generate 1.1 times less return on investment than Extreme Networks. But when comparing it to its historical volatility, JPMorgan Chase Co is 1.4 times less risky than Extreme Networks. It trades about 0.15 of its potential returns per unit of risk. Extreme Networks is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,473 in Extreme Networks on September 12, 2024 and sell it today you would earn a total of 281.00 from holding Extreme Networks or generate 19.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
JPMorgan Chase Co vs. Extreme Networks
Performance |
Timeline |
JPMorgan Chase |
Extreme Networks |
JPMorgan Chase and Extreme Networks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPMorgan Chase and Extreme Networks
The main advantage of trading using opposite JPMorgan Chase and Extreme Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase position performs unexpectedly, Extreme Networks 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 Extreme Networks will offset losses from the drop in Extreme Networks' long position.JPMorgan Chase vs. Bank of America | JPMorgan Chase vs. Victory Integrity Smallmid Cap | JPMorgan Chase vs. Hilton Worldwide Holdings | JPMorgan Chase vs. NVIDIA |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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