Correlation Between Park Hotels and UNITED RENTALS
Can any of the company-specific risk be diversified away by investing in both Park Hotels and UNITED RENTALS 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 UNITED RENTALS 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 UNITED RENTALS, you can compare the effects of market volatilities on Park Hotels and UNITED RENTALS 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 UNITED RENTALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Park Hotels and UNITED RENTALS.
Diversification Opportunities for Park Hotels and UNITED RENTALS
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Park and UNITED is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Park Hotels Resorts and UNITED RENTALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNITED RENTALS 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 UNITED RENTALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNITED RENTALS has no effect on the direction of Park Hotels i.e., Park Hotels and UNITED RENTALS go up and down completely randomly.
Pair Corralation between Park Hotels and UNITED RENTALS
Assuming the 90 days trading horizon Park Hotels is expected to generate 1.74 times less return on investment than UNITED RENTALS. In addition to that, Park Hotels is 1.02 times more volatile than UNITED RENTALS. It trades about 0.04 of its total potential returns per unit of risk. UNITED RENTALS is currently generating about 0.07 per unit of volatility. If you would invest 33,416 in UNITED RENTALS on October 11, 2024 and sell it today you would earn a total of 32,524 from holding UNITED RENTALS or generate 97.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Park Hotels Resorts vs. UNITED RENTALS
Performance |
| Timeline |
| Park Hotels Resorts |
| UNITED RENTALS |
Park Hotels and UNITED RENTALS Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Park Hotels and UNITED RENTALS
The main advantage of trading using opposite Park Hotels and UNITED RENTALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Park Hotels position performs unexpectedly, UNITED RENTALS 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 UNITED RENTALS will offset losses from the drop in UNITED RENTALS's long position.| Park Hotels vs. RCS MediaGroup SpA | Park Hotels vs. GigaMedia | Park Hotels vs. WILLIS LEASE FIN | Park Hotels vs. GRENKELEASING Dusseldorf |
| UNITED RENTALS vs. Park Hotels Resorts | UNITED RENTALS vs. Calibre Mining Corp | UNITED RENTALS vs. Pebblebrook Hotel Trust | UNITED RENTALS vs. Western Copper and |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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