Correlation Between Host Hotels and Service Properties
Can any of the company-specific risk be diversified away by investing in both Host Hotels 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 Host Hotels and Service Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Host Hotels Resorts and Service Properties Trust, you can compare the effects of market volatilities on Host Hotels 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 Host Hotels with a short position of Service Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Host Hotels and Service Properties.
Diversification Opportunities for Host Hotels and Service Properties
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Host and Service is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Host Hotels Resorts 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 Host Hotels 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 Host Hotels Resorts 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 Host Hotels i.e., Host Hotels and Service Properties go up and down completely randomly.
Pair Corralation between Host Hotels and Service Properties
Assuming the 90 days horizon Host Hotels Resorts is expected to under-perform the Service Properties. But the stock apears to be less risky and, when comparing its historical volatility, Host Hotels Resorts is 2.48 times less risky than Service Properties. The stock trades about -0.23 of its potential returns per unit of risk. The Service Properties Trust is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 236.00 in Service Properties Trust on December 29, 2024 and sell it today you would earn a total of 11.00 from holding Service Properties Trust or generate 4.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Host Hotels Resorts vs. Service Properties Trust
Performance |
Timeline |
Host Hotels Resorts |
Service Properties Trust |
Host Hotels and Service Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Host Hotels and Service Properties
The main advantage of trading using opposite Host Hotels and Service Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Host Hotels 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.Host Hotels vs. Fukuyama Transporting Co | Host Hotels vs. SAFEROADS HLDGS | Host Hotels vs. EVS Broadcast Equipment | Host Hotels vs. BRIT AMER TOBACCO |
Service Properties vs. WESANA HEALTH HOLD | Service Properties vs. Molina Healthcare | Service Properties vs. Planet Fitness | Service Properties vs. GUARDANT HEALTH CL |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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