Correlation Between Southwest Airlines and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Southwest Airlines and Automatic Data 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 Automatic Data 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 Automatic Data Processing, you can compare the effects of market volatilities on Southwest Airlines and Automatic Data 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 Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Southwest Airlines and Automatic Data.
Diversification Opportunities for Southwest Airlines and Automatic Data
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Southwest and Automatic is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Southwest Airlines Co and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing 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 Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of Southwest Airlines i.e., Southwest Airlines and Automatic Data go up and down completely randomly.
Pair Corralation between Southwest Airlines and Automatic Data
Assuming the 90 days trading horizon Southwest Airlines Co is expected to under-perform the Automatic Data. In addition to that, Southwest Airlines is 2.02 times more volatile than Automatic Data Processing. It trades about -0.13 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about 0.1 per unit of volatility. If you would invest 29,332 in Automatic Data Processing on October 22, 2024 and sell it today you would earn a total of 450.00 from holding Automatic Data Processing or generate 1.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Southwest Airlines Co vs. Automatic Data Processing
Performance |
Timeline |
Southwest Airlines |
Automatic Data Processing |
Southwest Airlines and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Southwest Airlines and Automatic Data
The main advantage of trading using opposite Southwest Airlines and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Southwest Airlines position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.Southwest Airlines vs. Leroy Seafood Group | Southwest Airlines vs. Premier Foods PLC | Southwest Airlines vs. CAP LEASE AVIATION | Southwest Airlines vs. Hilton Food Group |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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