Correlation Between Haverty Furniture and Bet-at-home
Can any of the company-specific risk be diversified away by investing in both Haverty Furniture and Bet-at-home 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 Bet-at-home 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 bet at home AG, you can compare the effects of market volatilities on Haverty Furniture and Bet-at-home 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 Bet-at-home. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haverty Furniture and Bet-at-home.
Diversification Opportunities for Haverty Furniture and Bet-at-home
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Haverty and Bet-at-home is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Haverty Furniture Companies and bet at home AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on bet at home 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 Bet-at-home. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of bet at home has no effect on the direction of Haverty Furniture i.e., Haverty Furniture and Bet-at-home go up and down completely randomly.
Pair Corralation between Haverty Furniture and Bet-at-home
Assuming the 90 days horizon Haverty Furniture is expected to generate 1.06 times less return on investment than Bet-at-home. But when comparing it to its historical volatility, Haverty Furniture Companies is 1.18 times less risky than Bet-at-home. It trades about 0.11 of its potential returns per unit of risk. bet at home AG is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 244.00 in bet at home AG on April 11, 2025 and sell it today you would earn a total of 48.00 from holding bet at home AG or generate 19.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Haverty Furniture Companies vs. bet at home AG
Performance |
Timeline |
Haverty Furniture |
bet at home |
Haverty Furniture and Bet-at-home Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haverty Furniture and Bet-at-home
The main advantage of trading using opposite Haverty Furniture and Bet-at-home positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haverty Furniture position performs unexpectedly, Bet-at-home 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 Bet-at-home will offset losses from the drop in Bet-at-home's long position.Haverty Furniture vs. Collins Foods Limited | Haverty Furniture vs. COFCO Joycome Foods | Haverty Furniture vs. CAL MAINE FOODS | Haverty Furniture vs. EBRO FOODS |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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