Correlation Between JPMorgan Chase and Exco Technologies
Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase and Exco Technologies 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 Exco Technologies 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 Exco Technologies Limited, you can compare the effects of market volatilities on JPMorgan Chase and Exco Technologies 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 Exco Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and Exco Technologies.
Diversification Opportunities for JPMorgan Chase and Exco Technologies
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between JPMorgan and Exco is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co and Exco Technologies Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exco Technologies 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 Exco Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exco Technologies has no effect on the direction of JPMorgan Chase i.e., JPMorgan Chase and Exco Technologies go up and down completely randomly.
Pair Corralation between JPMorgan Chase and Exco Technologies
Assuming the 90 days trading horizon JPMorgan Chase Co is expected to generate 1.16 times more return on investment than Exco Technologies. However, JPMorgan Chase is 1.16 times more volatile than Exco Technologies Limited. It trades about 0.02 of its potential returns per unit of risk. Exco Technologies Limited is currently generating about -0.24 per unit of risk. If you would invest 3,165 in JPMorgan Chase Co on December 30, 2024 and sell it today you would earn a total of 36.00 from holding JPMorgan Chase Co or generate 1.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
JPMorgan Chase Co vs. Exco Technologies Limited
Performance |
Timeline |
JPMorgan Chase |
Exco Technologies |
JPMorgan Chase and Exco Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPMorgan Chase and Exco Technologies
The main advantage of trading using opposite JPMorgan Chase and Exco Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase position performs unexpectedly, Exco Technologies 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 Exco Technologies will offset losses from the drop in Exco Technologies' long position.JPMorgan Chase vs. HIVE Blockchain Technologies | JPMorgan Chase vs. Sparx Technology | JPMorgan Chase vs. California Nanotechnologies Corp | JPMorgan Chase vs. Computer Modelling Group |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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