Correlation Between JPMorgan Chase and Xtrackers Russell
Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase and Xtrackers Russell 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 Xtrackers Russell 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 Xtrackers Russell Multifactor, you can compare the effects of market volatilities on JPMorgan Chase and Xtrackers Russell 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 Xtrackers Russell. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and Xtrackers Russell.
Diversification Opportunities for JPMorgan Chase and Xtrackers Russell
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between JPMorgan and Xtrackers is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co and Xtrackers Russell Multifactor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xtrackers Russell 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 Xtrackers Russell. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xtrackers Russell has no effect on the direction of JPMorgan Chase i.e., JPMorgan Chase and Xtrackers Russell go up and down completely randomly.
Pair Corralation between JPMorgan Chase and Xtrackers Russell
Considering the 90-day investment horizon JPMorgan Chase Co is expected to generate 1.76 times more return on investment than Xtrackers Russell. However, JPMorgan Chase is 1.76 times more volatile than Xtrackers Russell Multifactor. It trades about 0.1 of its potential returns per unit of risk. Xtrackers Russell Multifactor is currently generating about 0.07 per unit of risk. If you would invest 12,808 in JPMorgan Chase Co on October 10, 2024 and sell it today you would earn a total of 11,509 from holding JPMorgan Chase Co or generate 89.86% 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. Xtrackers Russell Multifactor
Performance |
Timeline |
JPMorgan Chase |
Xtrackers Russell |
JPMorgan Chase and Xtrackers Russell Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPMorgan Chase and Xtrackers Russell
The main advantage of trading using opposite JPMorgan Chase and Xtrackers Russell positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase position performs unexpectedly, Xtrackers Russell 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 Xtrackers Russell will offset losses from the drop in Xtrackers Russell's long position.JPMorgan Chase vs. Citigroup | JPMorgan Chase vs. Wells Fargo | JPMorgan Chase vs. Toronto Dominion Bank | JPMorgan Chase vs. Nu Holdings |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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