Correlation Between ScanSource and Southwest Airlines
Can any of the company-specific risk be diversified away by investing in both ScanSource and Southwest Airlines 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 ScanSource and Southwest Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ScanSource and Southwest Airlines Co, you can compare the effects of market volatilities on ScanSource and Southwest Airlines 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 ScanSource with a short position of Southwest Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of ScanSource and Southwest Airlines.
Diversification Opportunities for ScanSource and Southwest Airlines
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ScanSource and Southwest is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding ScanSource and Southwest Airlines Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Southwest Airlines and ScanSource 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 ScanSource are associated (or correlated) with Southwest Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Southwest Airlines has no effect on the direction of ScanSource i.e., ScanSource and Southwest Airlines go up and down completely randomly.
Pair Corralation between ScanSource and Southwest Airlines
Assuming the 90 days horizon ScanSource is expected to under-perform the Southwest Airlines. But the stock apears to be less risky and, when comparing its historical volatility, ScanSource is 1.02 times less risky than Southwest Airlines. The stock trades about -0.22 of its potential returns per unit of risk. The Southwest Airlines Co is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 3,242 in Southwest Airlines Co on December 26, 2024 and sell it today you would lose (25.00) from holding Southwest Airlines Co or give up 0.77% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
ScanSource vs. Southwest Airlines Co
Performance |
Timeline |
ScanSource |
Southwest Airlines |
ScanSource and Southwest Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ScanSource and Southwest Airlines
The main advantage of trading using opposite ScanSource and Southwest Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ScanSource position performs unexpectedly, Southwest Airlines 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 Southwest Airlines will offset losses from the drop in Southwest Airlines' long position.ScanSource vs. Zijin Mining Group | ScanSource vs. Tower One Wireless | ScanSource vs. alstria office REIT AG | ScanSource vs. Singapore Telecommunications Limited |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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