Correlation Between Meli Hotels and Service Properties
Can any of the company-specific risk be diversified away by investing in both Meli 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 Meli 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 Meli Hotels International and Service Properties Trust, you can compare the effects of market volatilities on Meli 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 Meli Hotels with a short position of Service Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meli Hotels and Service Properties.
Diversification Opportunities for Meli Hotels and Service Properties
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Meli and Service is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Meli Hotels International 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 Meli 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 Meli Hotels International 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 Meli Hotels i.e., Meli Hotels and Service Properties go up and down completely randomly.
Pair Corralation between Meli Hotels and Service Properties
Assuming the 90 days horizon Meli Hotels International is expected to generate 0.63 times more return on investment than Service Properties. However, Meli Hotels International is 1.59 times less risky than Service Properties. It trades about 0.22 of its potential returns per unit of risk. Service Properties Trust is currently generating about -0.15 per unit of risk. If you would invest 711.00 in Meli Hotels International on October 5, 2024 and sell it today you would earn a total of 68.00 from holding Meli Hotels International or generate 9.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Meli Hotels International vs. Service Properties Trust
Performance |
Timeline |
Meli Hotels International |
Service Properties Trust |
Meli Hotels and Service Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meli Hotels and Service Properties
The main advantage of trading using opposite Meli Hotels and Service Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meli 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.Meli Hotels vs. Dave Busters Entertainment | Meli Hotels vs. Sea | Meli Hotels vs. Sphere Entertainment Co | Meli Hotels vs. Paysafe |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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