Correlation Between Haverty Furniture and Lowes Companies
Can any of the company-specific risk be diversified away by investing in both Haverty Furniture and Lowes Companies 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 Haverty Furniture and Lowes Companies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Haverty Furniture Companies and Lowes Companies, you can compare the effects of market volatilities on Haverty Furniture and Lowes Companies 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 Haverty Furniture with a short position of Lowes Companies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haverty Furniture and Lowes Companies.
Diversification Opportunities for Haverty Furniture and Lowes Companies
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Haverty and Lowes is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Haverty Furniture Companies and Lowes Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lowes Companies and Haverty 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 Haverty Furniture Companies are associated (or correlated) with Lowes Companies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lowes Companies has no effect on the direction of Haverty Furniture i.e., Haverty Furniture and Lowes Companies go up and down completely randomly.
Pair Corralation between Haverty Furniture and Lowes Companies
Assuming the 90 days horizon Haverty Furniture Companies is expected to under-perform the Lowes Companies. In addition to that, Haverty Furniture is 1.66 times more volatile than Lowes Companies. It trades about -0.06 of its total potential returns per unit of risk. Lowes Companies is currently generating about -0.08 per unit of volatility. If you would invest 23,478 in Lowes Companies on December 29, 2024 and sell it today you would lose (2,053) from holding Lowes Companies or give up 8.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Haverty Furniture Companies vs. Lowes Companies
Performance |
Timeline |
Haverty Furniture |
Lowes Companies |
Haverty Furniture and Lowes Companies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haverty Furniture and Lowes Companies
The main advantage of trading using opposite Haverty Furniture and Lowes Companies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haverty Furniture position performs unexpectedly, Lowes Companies 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 Lowes Companies will offset losses from the drop in Lowes Companies' long position.Haverty Furniture vs. INVITATION HOMES DL | Haverty Furniture vs. Mount Gibson Iron | Haverty Furniture vs. ANGI Homeservices | Haverty Furniture vs. Pets at Home |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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