Correlation Between STAG Industrial, and Healthpeak Properties
Can any of the company-specific risk be diversified away by investing in both STAG Industrial, and Healthpeak 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 STAG Industrial, and Healthpeak Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STAG Industrial, and Healthpeak Properties, you can compare the effects of market volatilities on STAG Industrial, and Healthpeak 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 STAG Industrial, with a short position of Healthpeak Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of STAG Industrial, and Healthpeak Properties.
Diversification Opportunities for STAG Industrial, and Healthpeak Properties
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between STAG and Healthpeak is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding STAG Industrial, and Healthpeak Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Healthpeak Properties and STAG Industrial, 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 STAG Industrial, are associated (or correlated) with Healthpeak Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Healthpeak Properties has no effect on the direction of STAG Industrial, i.e., STAG Industrial, and Healthpeak Properties go up and down completely randomly.
Pair Corralation between STAG Industrial, and Healthpeak Properties
Assuming the 90 days trading horizon STAG Industrial, is expected to under-perform the Healthpeak Properties. In addition to that, STAG Industrial, is 1.16 times more volatile than Healthpeak Properties. It trades about 0.0 of its total potential returns per unit of risk. Healthpeak Properties is currently generating about 0.05 per unit of volatility. If you would invest 12,027 in Healthpeak Properties on October 4, 2024 and sell it today you would earn a total of 492.00 from holding Healthpeak Properties or generate 4.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
STAG Industrial, vs. Healthpeak Properties
Performance |
Timeline |
STAG Industrial, |
Healthpeak Properties |
STAG Industrial, and Healthpeak Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STAG Industrial, and Healthpeak Properties
The main advantage of trading using opposite STAG Industrial, and Healthpeak Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STAG Industrial, position performs unexpectedly, Healthpeak 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 Healthpeak Properties will offset losses from the drop in Healthpeak Properties' long position.STAG Industrial, vs. GP Investments | STAG Industrial, vs. Patria Investments Limited | STAG Industrial, vs. United Natural Foods, | STAG Industrial, vs. Tyson 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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