Correlation Between American Express and UHF Logistics
Can any of the company-specific risk be diversified away by investing in both American Express 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 American Express and UHF Logistics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Express and UHF Logistics Group, you can compare the effects of market volatilities on American Express 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 American Express with a short position of UHF Logistics. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Express and UHF Logistics.
Diversification Opportunities for American Express and UHF Logistics
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between American and UHF is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding American Express 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 American Express 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 American Express 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 American Express i.e., American Express and UHF Logistics go up and down completely randomly.
Pair Corralation between American Express and UHF Logistics
Considering the 90-day investment horizon American Express is expected to under-perform the UHF Logistics. But the stock apears to be less risky and, when comparing its historical volatility, American Express is 14.52 times less risky than UHF Logistics. The stock trades about -0.08 of its potential returns per unit of risk. The UHF Logistics Group is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 9.65 in UHF Logistics Group on December 27, 2024 and sell it today you would lose (1.85) from holding UHF Logistics Group or give up 19.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
American Express vs. UHF Logistics Group
Performance |
Timeline |
American Express |
UHF Logistics Group |
American Express and UHF Logistics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Express and UHF Logistics
The main advantage of trading using opposite American Express and UHF Logistics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express 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.American Express vs. Visa Class A | American Express vs. PayPal Holdings | American Express vs. Capital One Financial | American Express vs. Upstart 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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