Correlation Between JBG SMITH and Highwoods Properties
Can any of the company-specific risk be diversified away by investing in both JBG SMITH and Highwoods Properties 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 JBG SMITH and Highwoods Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JBG SMITH Properties and Highwoods Properties, you can compare the effects of market volatilities on JBG SMITH and Highwoods Properties 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 JBG SMITH with a short position of Highwoods Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of JBG SMITH and Highwoods Properties.
Diversification Opportunities for JBG SMITH and Highwoods Properties
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between JBG and Highwoods is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding JBG SMITH Properties and Highwoods Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Highwoods Properties and JBG SMITH 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 JBG SMITH Properties are associated (or correlated) with Highwoods Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Highwoods Properties has no effect on the direction of JBG SMITH i.e., JBG SMITH and Highwoods Properties go up and down completely randomly.
Pair Corralation between JBG SMITH and Highwoods Properties
Given the investment horizon of 90 days JBG SMITH Properties is expected to generate 1.3 times more return on investment than Highwoods Properties. However, JBG SMITH is 1.3 times more volatile than Highwoods Properties. It trades about 0.04 of its potential returns per unit of risk. Highwoods Properties is currently generating about -0.03 per unit of risk. If you would invest 1,518 in JBG SMITH Properties on December 21, 2024 and sell it today you would earn a total of 65.00 from holding JBG SMITH Properties or generate 4.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
JBG SMITH Properties vs. Highwoods Properties
Performance |
Timeline |
JBG SMITH Properties |
Highwoods Properties |
JBG SMITH and Highwoods Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JBG SMITH and Highwoods Properties
The main advantage of trading using opposite JBG SMITH and Highwoods Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JBG SMITH position performs unexpectedly, Highwoods Properties 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 Highwoods Properties will offset losses from the drop in Highwoods Properties' long position.JBG SMITH vs. Cousins Properties Incorporated | JBG SMITH vs. Highwoods Properties | JBG SMITH vs. Douglas Emmett | JBG SMITH vs. Equity Commonwealth |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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