Correlation Between Hersha Hospitality and Service Properties
Can any of the company-specific risk be diversified away by investing in both Hersha Hospitality and Service 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 Hersha Hospitality and Service Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hersha Hospitality Trust and Service Properties Trust, you can compare the effects of market volatilities on Hersha Hospitality and Service 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 Hersha Hospitality with a short position of Service Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hersha Hospitality and Service Properties.
Diversification Opportunities for Hersha Hospitality and Service Properties
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hersha and Service is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Hersha Hospitality Trust and Service Properties Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Service Properties Trust and Hersha Hospitality 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 Hersha Hospitality Trust are associated (or correlated) with Service Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Service Properties Trust has no effect on the direction of Hersha Hospitality i.e., Hersha Hospitality and Service Properties go up and down completely randomly.
Pair Corralation between Hersha Hospitality and Service Properties
If you would invest 611.00 in Hersha Hospitality Trust on September 4, 2024 and sell it today you would earn a total of 0.00 from holding Hersha Hospitality Trust or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 2.38% |
Values | Daily Returns |
Hersha Hospitality Trust vs. Service Properties Trust
Performance |
Timeline |
Hersha Hospitality Trust |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Service Properties Trust |
Hersha Hospitality and Service Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hersha Hospitality and Service Properties
The main advantage of trading using opposite Hersha Hospitality and Service Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hersha Hospitality position performs unexpectedly, Service 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 Service Properties will offset losses from the drop in Service Properties' long position.Hersha Hospitality vs. RLJ Lodging Trust | Hersha Hospitality vs. Sunstone Hotel Investors | Hersha Hospitality vs. Pebblebrook Hotel Trust | Hersha Hospitality vs. Summit Hotel Properties |
Service Properties vs. Chemours Co | Service Properties vs. Hudson Technologies | Service Properties vs. Avient Corp | Service Properties vs. Ituran Location and |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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