Correlation Between SOUTHWEST AIRLINES and Quaker Chemical
Can any of the company-specific risk be diversified away by investing in both SOUTHWEST AIRLINES and Quaker Chemical 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 Quaker Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOUTHWEST AIRLINES and Quaker Chemical, you can compare the effects of market volatilities on SOUTHWEST AIRLINES and Quaker Chemical 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 Quaker Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOUTHWEST AIRLINES and Quaker Chemical.
Diversification Opportunities for SOUTHWEST AIRLINES and Quaker Chemical
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SOUTHWEST and Quaker is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding SOUTHWEST AIRLINES and Quaker Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quaker Chemical 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 are associated (or correlated) with Quaker Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quaker Chemical has no effect on the direction of SOUTHWEST AIRLINES i.e., SOUTHWEST AIRLINES and Quaker Chemical go up and down completely randomly.
Pair Corralation between SOUTHWEST AIRLINES and Quaker Chemical
Assuming the 90 days trading horizon SOUTHWEST AIRLINES is expected to generate 0.86 times more return on investment than Quaker Chemical. However, SOUTHWEST AIRLINES is 1.16 times less risky than Quaker Chemical. It trades about 0.25 of its potential returns per unit of risk. Quaker Chemical is currently generating about 0.09 per unit of risk. If you would invest 2,248 in SOUTHWEST AIRLINES on April 23, 2025 and sell it today you would earn a total of 894.00 from holding SOUTHWEST AIRLINES or generate 39.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SOUTHWEST AIRLINES vs. Quaker Chemical
Performance |
Timeline |
SOUTHWEST AIRLINES |
Quaker Chemical |
SOUTHWEST AIRLINES and Quaker Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SOUTHWEST AIRLINES and Quaker Chemical
The main advantage of trading using opposite SOUTHWEST AIRLINES and Quaker Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOUTHWEST AIRLINES position performs unexpectedly, Quaker Chemical 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 Quaker Chemical will offset losses from the drop in Quaker Chemical's long position.SOUTHWEST AIRLINES vs. Strategic Education | SOUTHWEST AIRLINES vs. DeVry Education Group | SOUTHWEST AIRLINES vs. Algonquin Power Utilities | SOUTHWEST AIRLINES vs. Hope Education 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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