Correlation Between Meliá Hotels and Blade Air
Can any of the company-specific risk be diversified away by investing in both Meliá Hotels and Blade Air 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 Meliá Hotels and Blade Air 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 Blade Air Mobility, you can compare the effects of market volatilities on Meliá Hotels and Blade Air 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 Meliá Hotels with a short position of Blade Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meliá Hotels and Blade Air.
Diversification Opportunities for Meliá Hotels and Blade Air
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Meliá and Blade is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Meli Hotels International and Blade Air Mobility in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blade Air Mobility and Meliá 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 Blade Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blade Air Mobility has no effect on the direction of Meliá Hotels i.e., Meliá Hotels and Blade Air go up and down completely randomly.
Pair Corralation between Meliá Hotels and Blade Air
Assuming the 90 days horizon Meli Hotels International is expected to under-perform the Blade Air. But the pink sheet apears to be less risky and, when comparing its historical volatility, Meli Hotels International is 2.48 times less risky than Blade Air. The pink sheet trades about -0.03 of its potential returns per unit of risk. The Blade Air Mobility is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 361.00 in Blade Air Mobility on October 24, 2024 and sell it today you would earn a total of 40.00 from holding Blade Air Mobility or generate 11.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Meli Hotels International vs. Blade Air Mobility
Performance |
Timeline |
Meli Hotels International |
Blade Air Mobility |
Meliá Hotels and Blade Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meliá Hotels and Blade Air
The main advantage of trading using opposite Meliá Hotels and Blade Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meliá Hotels position performs unexpectedly, Blade Air 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 Blade Air will offset losses from the drop in Blade Air's long position.Meliá Hotels vs. Marriott International | Meliá Hotels vs. Hilton Worldwide Holdings | Meliá Hotels vs. InterContinental Hotels Group | Meliá Hotels vs. Accor SA |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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