Correlation Between United Parcel and Delta Air
Can any of the company-specific risk be diversified away by investing in both United Parcel and Delta Air 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 United Parcel and Delta Air into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Parcel Service and Delta Air Lines, you can compare the effects of market volatilities on United Parcel and Delta Air 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 United Parcel with a short position of Delta Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Parcel and Delta Air.
Diversification Opportunities for United Parcel and Delta Air
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between United and Delta is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding United Parcel Service and Delta Air Lines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Delta Air Lines and United Parcel 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 United Parcel Service are associated (or correlated) with Delta Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Delta Air Lines has no effect on the direction of United Parcel i.e., United Parcel and Delta Air go up and down completely randomly.
Pair Corralation between United Parcel and Delta Air
Assuming the 90 days trading horizon United Parcel Service is expected to generate 0.83 times more return on investment than Delta Air. However, United Parcel Service is 1.21 times less risky than Delta Air. It trades about -0.1 of its potential returns per unit of risk. Delta Air Lines is currently generating about -0.19 per unit of risk. If you would invest 4,838 in United Parcel Service on December 24, 2024 and sell it today you would lose (727.00) from holding United Parcel Service or give up 15.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United Parcel Service vs. Delta Air Lines
Performance |
Timeline |
United Parcel Service |
Delta Air Lines |
United Parcel and Delta Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Parcel and Delta Air
The main advantage of trading using opposite United Parcel and Delta Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Parcel position performs unexpectedly, Delta Air 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 Delta Air will offset losses from the drop in Delta Air's long position.United Parcel vs. Zoom Video Communications | United Parcel vs. METISA Metalrgica Timboense | United Parcel vs. Take Two Interactive Software | United Parcel vs. Unifique Telecomunicaes SA |
Delta Air vs. METISA Metalrgica Timboense | Delta Air vs. Microchip Technology Incorporated | Delta Air vs. Iron Mountain Incorporated | Delta Air vs. Check Point Software |
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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