Correlation Between Playa Hotels and Canlan Ice
Can any of the company-specific risk be diversified away by investing in both Playa Hotels and Canlan Ice 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 Playa Hotels and Canlan Ice into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Playa Hotels Resorts and Canlan Ice Sports, you can compare the effects of market volatilities on Playa Hotels and Canlan Ice 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 Playa Hotels with a short position of Canlan Ice. Check out your portfolio center. Please also check ongoing floating volatility patterns of Playa Hotels and Canlan Ice.
Diversification Opportunities for Playa Hotels and Canlan Ice
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Playa and Canlan is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Playa Hotels Resorts and Canlan Ice Sports in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canlan Ice Sports and Playa 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 Playa Hotels Resorts are associated (or correlated) with Canlan Ice. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canlan Ice Sports has no effect on the direction of Playa Hotels i.e., Playa Hotels and Canlan Ice go up and down completely randomly.
Pair Corralation between Playa Hotels and Canlan Ice
Given the investment horizon of 90 days Playa Hotels Resorts is expected to generate 11.46 times more return on investment than Canlan Ice. However, Playa Hotels is 11.46 times more volatile than Canlan Ice Sports. It trades about 0.15 of its potential returns per unit of risk. Canlan Ice Sports is currently generating about 0.13 per unit of risk. If you would invest 1,226 in Playa Hotels Resorts on December 26, 2024 and sell it today you would earn a total of 108.00 from holding Playa Hotels Resorts or generate 8.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.36% |
Values | Daily Returns |
Playa Hotels Resorts vs. Canlan Ice Sports
Performance |
Timeline |
Playa Hotels Resorts |
Canlan Ice Sports |
Playa Hotels and Canlan Ice Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Playa Hotels and Canlan Ice
The main advantage of trading using opposite Playa Hotels and Canlan Ice positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Playa Hotels position performs unexpectedly, Canlan Ice 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 Canlan Ice will offset losses from the drop in Canlan Ice's long position.Playa Hotels vs. Golden Entertainment | Playa Hotels vs. Red Rock Resorts | Playa Hotels vs. Century Casinos | Playa Hotels vs. Studio City International |
Canlan Ice vs. Adtalem Global Education | Canlan Ice vs. Elite Education Group | Canlan Ice vs. John Wiley Sons | Canlan Ice vs. Vasta Platform |
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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