Correlation Between Hooker Furniture and Southwest Airlines
Can any of the company-specific risk be diversified away by investing in both Hooker Furniture 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 Hooker Furniture and Southwest Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hooker Furniture and Southwest Airlines, you can compare the effects of market volatilities on Hooker Furniture 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 Hooker Furniture with a short position of Southwest Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hooker Furniture and Southwest Airlines.
Diversification Opportunities for Hooker Furniture and Southwest Airlines
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hooker and Southwest is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Hooker Furniture and Southwest Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Southwest Airlines and Hooker Furniture 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 Hooker Furniture 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 Hooker Furniture i.e., Hooker Furniture and Southwest Airlines go up and down completely randomly.
Pair Corralation between Hooker Furniture and Southwest Airlines
Given the investment horizon of 90 days Hooker Furniture is expected to under-perform the Southwest Airlines. In addition to that, Hooker Furniture is 1.32 times more volatile than Southwest Airlines. It trades about -0.07 of its total potential returns per unit of risk. Southwest Airlines is currently generating about 0.02 per unit of volatility. If you would invest 3,205 in Southwest Airlines on October 7, 2024 and sell it today you would earn a total of 156.00 from holding Southwest Airlines or generate 4.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hooker Furniture vs. Southwest Airlines
Performance |
Timeline |
Hooker Furniture |
Southwest Airlines |
Hooker Furniture and Southwest Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hooker Furniture and Southwest Airlines
The main advantage of trading using opposite Hooker Furniture and Southwest Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hooker Furniture 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.Hooker Furniture vs. Bassett Furniture Industries | Hooker Furniture vs. Natuzzi SpA | Hooker Furniture vs. Flexsteel Industries | Hooker Furniture vs. Hamilton Beach Brands |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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