Correlation Between Haverty Furniture and Kirklands
Can any of the company-specific risk be diversified away by investing in both Haverty Furniture and Kirklands 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 Kirklands 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 Kirklands, you can compare the effects of market volatilities on Haverty Furniture and Kirklands 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 Kirklands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haverty Furniture and Kirklands.
Diversification Opportunities for Haverty Furniture and Kirklands
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Haverty and Kirklands is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Haverty Furniture Companies and Kirklands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kirklands 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 Kirklands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kirklands has no effect on the direction of Haverty Furniture i.e., Haverty Furniture and Kirklands go up and down completely randomly.
Pair Corralation between Haverty Furniture and Kirklands
Considering the 90-day investment horizon Haverty Furniture Companies is expected to under-perform the Kirklands. But the stock apears to be less risky and, when comparing its historical volatility, Haverty Furniture Companies is 1.91 times less risky than Kirklands. The stock trades about -0.07 of its potential returns per unit of risk. The Kirklands is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 152.00 in Kirklands on September 1, 2024 and sell it today you would earn a total of 27.00 from holding Kirklands or generate 17.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Haverty Furniture Companies vs. Kirklands
Performance |
Timeline |
Haverty Furniture |
Kirklands |
Haverty Furniture and Kirklands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haverty Furniture and Kirklands
The main advantage of trading using opposite Haverty Furniture and Kirklands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haverty Furniture position performs unexpectedly, Kirklands 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 Kirklands will offset losses from the drop in Kirklands' long position.Haverty Furniture vs. Purple Innovation | Haverty Furniture vs. Mohawk Industries | Haverty Furniture vs. La Z Boy Incorporated | Haverty Furniture vs. Leggett Platt Incorporated |
Kirklands vs. Purple Innovation | Kirklands vs. Mohawk Industries | Kirklands vs. La Z Boy Incorporated | Kirklands vs. Leggett Platt Incorporated |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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