Correlation Between Host Hotels and PEEL MINING
Can any of the company-specific risk be diversified away by investing in both Host Hotels and PEEL MINING 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 Host Hotels and PEEL MINING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Host Hotels Resorts and PEEL MINING, you can compare the effects of market volatilities on Host Hotels and PEEL MINING 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 Host Hotels with a short position of PEEL MINING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Host Hotels and PEEL MINING.
Diversification Opportunities for Host Hotels and PEEL MINING
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Host and PEEL is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Host Hotels Resorts and PEEL MINING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PEEL MINING and Host 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 Host Hotels Resorts are associated (or correlated) with PEEL MINING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PEEL MINING has no effect on the direction of Host Hotels i.e., Host Hotels and PEEL MINING go up and down completely randomly.
Pair Corralation between Host Hotels and PEEL MINING
Assuming the 90 days horizon Host Hotels is expected to generate 5.59 times less return on investment than PEEL MINING. But when comparing it to its historical volatility, Host Hotels Resorts is 3.28 times less risky than PEEL MINING. It trades about 0.02 of its potential returns per unit of risk. PEEL MINING is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 6.05 in PEEL MINING on September 12, 2024 and sell it today you would earn a total of 0.90 from holding PEEL MINING or generate 14.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 99.6% |
| Values | Daily Returns |
Host Hotels Resorts vs. PEEL MINING
Performance |
| Timeline |
| Host Hotels Resorts |
| PEEL MINING |
Host Hotels and PEEL MINING Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Host Hotels and PEEL MINING
The main advantage of trading using opposite Host Hotels and PEEL MINING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Host Hotels position performs unexpectedly, PEEL MINING 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 PEEL MINING will offset losses from the drop in PEEL MINING's long position.| Host Hotels vs. Sunstone Hotel Investors | Host Hotels vs. Xenia Hotels Resorts | Host Hotels vs. Summit Hotel Properties | Host Hotels vs. ASHFORD HOSPITTRUST |
| PEEL MINING vs. Pure Storage | PEEL MINING vs. TERADATA | PEEL MINING vs. MELIA HOTELS | PEEL MINING vs. Host 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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