Correlation Between JPMorgan Chase and UHF Logistics
Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase and UHF Logistics 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 UHF Logistics 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 UHF Logistics Group, you can compare the effects of market volatilities on JPMorgan Chase and UHF Logistics 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 UHF Logistics. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and UHF Logistics.
Diversification Opportunities for JPMorgan Chase and UHF Logistics
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between JPMorgan and UHF is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co and UHF Logistics Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UHF Logistics Group 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 UHF Logistics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UHF Logistics Group has no effect on the direction of JPMorgan Chase i.e., JPMorgan Chase and UHF Logistics go up and down completely randomly.
Pair Corralation between JPMorgan Chase and UHF Logistics
Considering the 90-day investment horizon JPMorgan Chase is expected to generate 15.19 times less return on investment than UHF Logistics. But when comparing it to its historical volatility, JPMorgan Chase Co is 18.49 times less risky than UHF Logistics. It trades about 0.16 of its potential returns per unit of risk. UHF Logistics Group is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 6.75 in UHF Logistics Group on September 13, 2024 and sell it today you would lose (0.75) from holding UHF Logistics Group or give up 11.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
JPMorgan Chase Co vs. UHF Logistics Group
Performance |
Timeline |
JPMorgan Chase |
UHF Logistics Group |
JPMorgan Chase and UHF Logistics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPMorgan Chase and UHF Logistics
The main advantage of trading using opposite JPMorgan Chase and UHF Logistics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase position performs unexpectedly, UHF Logistics 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 UHF Logistics will offset losses from the drop in UHF Logistics' long position.JPMorgan Chase vs. Citigroup | JPMorgan Chase vs. Toronto Dominion Bank | JPMorgan Chase vs. Nu Holdings | JPMorgan Chase vs. HSBC Holdings PLC |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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