Correlation Between Park Hotels and Realty Income
Can any of the company-specific risk be diversified away by investing in both Park Hotels and Realty Income 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 Park Hotels and Realty Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Park Hotels Resorts and Realty Income, you can compare the effects of market volatilities on Park Hotels and Realty Income 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 Park Hotels with a short position of Realty Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Park Hotels and Realty Income.
Diversification Opportunities for Park Hotels and Realty Income
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Park and Realty is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Park Hotels Resorts and Realty Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Realty Income and Park 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 Park Hotels Resorts are associated (or correlated) with Realty Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Realty Income has no effect on the direction of Park Hotels i.e., Park Hotels and Realty Income go up and down completely randomly.
Pair Corralation between Park Hotels and Realty Income
Allowing for the 90-day total investment horizon Park Hotels Resorts is expected to under-perform the Realty Income. In addition to that, Park Hotels is 1.56 times more volatile than Realty Income. It trades about -0.2 of its total potential returns per unit of risk. Realty Income is currently generating about 0.09 per unit of volatility. If you would invest 5,231 in Realty Income on December 26, 2024 and sell it today you would earn a total of 334.00 from holding Realty Income or generate 6.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Park Hotels Resorts vs. Realty Income
Performance |
Timeline |
Park Hotels Resorts |
Realty Income |
Park Hotels and Realty Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Park Hotels and Realty Income
The main advantage of trading using opposite Park Hotels and Realty Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Park Hotels position performs unexpectedly, Realty Income 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 Realty Income will offset losses from the drop in Realty Income's long position.Park Hotels vs. Diamondrock Hospitality | Park Hotels vs. Ryman Hospitality Properties | Park Hotels vs. Pebblebrook Hotel Trust | Park Hotels vs. Sunstone Hotel Investors |
Realty Income vs. Federal Realty Investment | Realty Income vs. Macerich Company | Realty Income vs. National Retail Properties | Realty Income vs. Kimco Realty |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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