Correlation Between Playa Hotels and Iris Energy
Can any of the company-specific risk be diversified away by investing in both Playa Hotels and Iris Energy 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 Iris Energy 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 Iris Energy, you can compare the effects of market volatilities on Playa Hotels and Iris Energy 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 Iris Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Playa Hotels and Iris Energy.
Diversification Opportunities for Playa Hotels and Iris Energy
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Playa and Iris is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Playa Hotels Resorts and Iris Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Iris Energy 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 Iris Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Iris Energy has no effect on the direction of Playa Hotels i.e., Playa Hotels and Iris Energy go up and down completely randomly.
Pair Corralation between Playa Hotels and Iris Energy
Given the investment horizon of 90 days Playa Hotels is expected to generate 2.01 times less return on investment than Iris Energy. But when comparing it to its historical volatility, Playa Hotels Resorts is 4.18 times less risky than Iris Energy. It trades about 0.25 of its potential returns per unit of risk. Iris Energy is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 925.00 in Iris Energy on August 26, 2024 and sell it today you would earn a total of 153.00 from holding Iris Energy or generate 16.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Playa Hotels Resorts vs. Iris Energy
Performance |
| Timeline |
| Playa Hotels Resorts |
| Iris Energy |
Playa Hotels and Iris Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Playa Hotels and Iris Energy
The main advantage of trading using opposite Playa Hotels and Iris Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Playa Hotels position performs unexpectedly, Iris Energy 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 Iris Energy will offset losses from the drop in Iris Energy's long position.| Playa Hotels vs. Yatra Online | Playa Hotels vs. Despegar Corp | Playa Hotels vs. Mondee Holdings | Playa Hotels vs. MakeMyTrip Limited |
| Iris Energy vs. Sensient Technologies | Iris Energy vs. Emerson Radio | Iris Energy vs. United Parks Resorts | Iris Energy vs. Playa Hotels Resorts |
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 Stocks Directory module to find actively traded stocks across global markets.
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