Correlation Between Full House and Playa Hotels
Can any of the company-specific risk be diversified away by investing in both Full House and Playa Hotels 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 Full House and Playa Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Full House Resorts and Playa Hotels Resorts, you can compare the effects of market volatilities on Full House and Playa Hotels 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 Full House with a short position of Playa Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Full House and Playa Hotels.
Diversification Opportunities for Full House and Playa Hotels
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Full and Playa is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Full House Resorts and Playa Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Playa Hotels Resorts and Full House 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 Full House Resorts are associated (or correlated) with Playa Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Playa Hotels Resorts has no effect on the direction of Full House i.e., Full House and Playa Hotels go up and down completely randomly.
Pair Corralation between Full House and Playa Hotels
Considering the 90-day investment horizon Full House Resorts is expected to generate 3.35 times more return on investment than Playa Hotels. However, Full House is 3.35 times more volatile than Playa Hotels Resorts. It trades about 0.04 of its potential returns per unit of risk. Playa Hotels Resorts is currently generating about 0.13 per unit of risk. If you would invest 403.00 in Full House Resorts on December 28, 2024 and sell it today you would earn a total of 20.00 from holding Full House Resorts or generate 4.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Full House Resorts vs. Playa Hotels Resorts
Performance |
Timeline |
Full House Resorts |
Playa Hotels Resorts |
Full House and Playa Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Full House and Playa Hotels
The main advantage of trading using opposite Full House and Playa Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Full House position performs unexpectedly, Playa Hotels 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 Playa Hotels will offset losses from the drop in Playa Hotels' long position.Full House vs. Monarch Casino Resort | Full House vs. Red Rock Resorts | Full House vs. Golden Entertainment | Full House vs. Playa Hotels Resorts |
Playa Hotels vs. Golden Entertainment | Playa Hotels vs. Red Rock Resorts | Playa Hotels vs. Century Casinos | Playa Hotels vs. Studio City International |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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