Correlation Between SOUTHWEST AIRLINES and Haverty Furniture
Can any of the company-specific risk be diversified away by investing in both SOUTHWEST AIRLINES and Haverty Furniture 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 Haverty Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOUTHWEST AIRLINES and Haverty Furniture Companies, you can compare the effects of market volatilities on SOUTHWEST AIRLINES and Haverty Furniture 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 Haverty Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOUTHWEST AIRLINES and Haverty Furniture.
Diversification Opportunities for SOUTHWEST AIRLINES and Haverty Furniture
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SOUTHWEST and Haverty is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding SOUTHWEST AIRLINES and Haverty Furniture Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haverty Furniture 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 Haverty Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haverty Furniture has no effect on the direction of SOUTHWEST AIRLINES i.e., SOUTHWEST AIRLINES and Haverty Furniture go up and down completely randomly.
Pair Corralation between SOUTHWEST AIRLINES and Haverty Furniture
Assuming the 90 days trading horizon SOUTHWEST AIRLINES is expected to generate 0.57 times more return on investment than Haverty Furniture. However, SOUTHWEST AIRLINES is 1.74 times less risky than Haverty Furniture. It trades about -0.08 of its potential returns per unit of risk. Haverty Furniture Companies is currently generating about -0.08 per unit of risk. If you would invest 3,306 in SOUTHWEST AIRLINES on October 6, 2024 and sell it today you would lose (55.00) from holding SOUTHWEST AIRLINES or give up 1.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SOUTHWEST AIRLINES vs. Haverty Furniture Companies
Performance |
Timeline |
SOUTHWEST AIRLINES |
Haverty Furniture |
SOUTHWEST AIRLINES and Haverty Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SOUTHWEST AIRLINES and Haverty Furniture
The main advantage of trading using opposite SOUTHWEST AIRLINES and Haverty Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOUTHWEST AIRLINES position performs unexpectedly, Haverty Furniture 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 Haverty Furniture will offset losses from the drop in Haverty Furniture's long position.SOUTHWEST AIRLINES vs. Apple Inc | SOUTHWEST AIRLINES vs. Apple Inc | SOUTHWEST AIRLINES vs. Apple Inc | SOUTHWEST AIRLINES vs. Apple Inc |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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