Correlation Between Haverty Furniture and Arhaus
Can any of the company-specific risk be diversified away by investing in both Haverty Furniture and Arhaus 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 Arhaus 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 Arhaus Inc, you can compare the effects of market volatilities on Haverty Furniture and Arhaus 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 Arhaus. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haverty Furniture and Arhaus.
Diversification Opportunities for Haverty Furniture and Arhaus
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Haverty and Arhaus is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Haverty Furniture Companies and Arhaus Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arhaus Inc 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 Arhaus. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arhaus Inc has no effect on the direction of Haverty Furniture i.e., Haverty Furniture and Arhaus go up and down completely randomly.
Pair Corralation between Haverty Furniture and Arhaus
Considering the 90-day investment horizon Haverty Furniture Companies is expected to under-perform the Arhaus. But the stock apears to be less risky and, when comparing its historical volatility, Haverty Furniture Companies is 1.99 times less risky than Arhaus. The stock trades about -0.02 of its potential returns per unit of risk. The Arhaus Inc is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 928.00 in Arhaus Inc on December 29, 2024 and sell it today you would earn a total of 10.00 from holding Arhaus Inc or generate 1.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Haverty Furniture Companies vs. Arhaus Inc
Performance |
Timeline |
Haverty Furniture |
Arhaus Inc |
Haverty Furniture and Arhaus Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haverty Furniture and Arhaus
The main advantage of trading using opposite Haverty Furniture and Arhaus positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haverty Furniture position performs unexpectedly, Arhaus 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 Arhaus will offset losses from the drop in Arhaus' long position.Haverty Furniture vs. Floor Decor Holdings | Haverty Furniture vs. Live Ventures | Haverty Furniture vs. Kirklands | Haverty Furniture vs. Arhaus Inc |
Arhaus vs. Floor Decor Holdings | Arhaus vs. Live Ventures | Arhaus vs. Haverty Furniture Companies | Arhaus vs. Haverty Furniture Companies |
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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