Correlation Between United Airlines and MARKET VECTR
Can any of the company-specific risk be diversified away by investing in both United Airlines and MARKET VECTR 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 Airlines and MARKET VECTR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Airlines Holdings and MARKET VECTR RETAIL, you can compare the effects of market volatilities on United Airlines and MARKET VECTR 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 Airlines with a short position of MARKET VECTR. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Airlines and MARKET VECTR.
Diversification Opportunities for United Airlines and MARKET VECTR
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between United and MARKET is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding United Airlines Holdings and MARKET VECTR RETAIL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MARKET VECTR RETAIL and United Airlines 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 Airlines Holdings are associated (or correlated) with MARKET VECTR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MARKET VECTR RETAIL has no effect on the direction of United Airlines i.e., United Airlines and MARKET VECTR go up and down completely randomly.
Pair Corralation between United Airlines and MARKET VECTR
Assuming the 90 days trading horizon United Airlines Holdings is expected to generate 3.21 times more return on investment than MARKET VECTR. However, United Airlines is 3.21 times more volatile than MARKET VECTR RETAIL. It trades about 0.26 of its potential returns per unit of risk. MARKET VECTR RETAIL is currently generating about 0.2 per unit of risk. If you would invest 7,001 in United Airlines Holdings on October 25, 2024 and sell it today you would earn a total of 3,749 from holding United Airlines Holdings or generate 53.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
United Airlines Holdings vs. MARKET VECTR RETAIL
Performance |
Timeline |
United Airlines Holdings |
MARKET VECTR RETAIL |
United Airlines and MARKET VECTR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Airlines and MARKET VECTR
The main advantage of trading using opposite United Airlines and MARKET VECTR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Airlines position performs unexpectedly, MARKET VECTR 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 MARKET VECTR will offset losses from the drop in MARKET VECTR's long position.United Airlines vs. Delta Air Lines | United Airlines vs. Air China Limited | United Airlines vs. AIR CHINA LTD | United Airlines vs. RYANAIR HLDGS ADR |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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