Correlation Between Southwest Airlines and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both Southwest Airlines and Uber Technologies 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 Southwest Airlines and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Southwest Airlines Co and Uber Technologies, you can compare the effects of market volatilities on Southwest Airlines and Uber Technologies 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 Southwest Airlines with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Southwest Airlines and Uber Technologies.
Diversification Opportunities for Southwest Airlines and Uber Technologies
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Southwest and Uber is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Southwest Airlines Co and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Southwest 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 Southwest Airlines Co are associated (or correlated) with Uber Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Uber Technologies has no effect on the direction of Southwest Airlines i.e., Southwest Airlines and Uber Technologies go up and down completely randomly.
Pair Corralation between Southwest Airlines and Uber Technologies
Assuming the 90 days horizon Southwest Airlines Co is expected to generate 0.73 times more return on investment than Uber Technologies. However, Southwest Airlines Co is 1.37 times less risky than Uber Technologies. It trades about 0.18 of its potential returns per unit of risk. Uber Technologies is currently generating about -0.06 per unit of risk. If you would invest 2,549 in Southwest Airlines Co on September 18, 2024 and sell it today you would earn a total of 598.00 from holding Southwest Airlines Co or generate 23.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Southwest Airlines Co vs. Uber Technologies
Performance |
Timeline |
Southwest Airlines |
Uber Technologies |
Southwest Airlines and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Southwest Airlines and Uber Technologies
The main advantage of trading using opposite Southwest Airlines and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Southwest Airlines position performs unexpectedly, Uber Technologies 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 Uber Technologies will offset losses from the drop in Uber Technologies' long position.Southwest Airlines vs. RYANAIR HLDGS ADR | Southwest Airlines vs. Superior Plus Corp | Southwest Airlines vs. SIVERS SEMICONDUCTORS AB | Southwest Airlines vs. Norsk Hydro ASA |
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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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