Correlation Between SL Green and Haverty Furniture
Can any of the company-specific risk be diversified away by investing in both SL Green and Haverty Furniture 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 SL Green and Haverty Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SL Green Realty and Haverty Furniture Companies, you can compare the effects of market volatilities on SL Green and Haverty Furniture 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 SL Green with a short position of Haverty Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of SL Green and Haverty Furniture.
Diversification Opportunities for SL Green and Haverty Furniture
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SLG and Haverty is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding SL Green Realty and Haverty Furniture Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haverty Furniture and SL Green 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 SL Green Realty are associated (or correlated) with Haverty Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haverty Furniture has no effect on the direction of SL Green i.e., SL Green and Haverty Furniture go up and down completely randomly.
Pair Corralation between SL Green and Haverty Furniture
Considering the 90-day investment horizon SL Green Realty is expected to under-perform the Haverty Furniture. But the stock apears to be less risky and, when comparing its historical volatility, SL Green Realty is 1.01 times less risky than Haverty Furniture. The stock trades about -0.09 of its potential returns per unit of risk. The Haverty Furniture Companies is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 2,188 in Haverty Furniture Companies on December 26, 2024 and sell it today you would lose (176.00) from holding Haverty Furniture Companies or give up 8.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SL Green Realty vs. Haverty Furniture Companies
Performance |
Timeline |
SL Green Realty |
Haverty Furniture |
SL Green and Haverty Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SL Green and Haverty Furniture
The main advantage of trading using opposite SL Green and Haverty Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SL Green position performs unexpectedly, Haverty Furniture 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 Haverty Furniture will offset losses from the drop in Haverty Furniture's long position.SL Green vs. Boston Properties | SL Green vs. Douglas Emmett | SL Green vs. Kilroy Realty Corp | SL Green vs. Alexandria Real Estate |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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