Correlation Between Host Hotels and Park Hotels
Can any of the company-specific risk be diversified away by investing in both Host Hotels and Park 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 Host Hotels and Park Hotels 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 Park Hotels Resorts, you can compare the effects of market volatilities on Host Hotels and Park 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 Host Hotels with a short position of Park Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Host Hotels and Park Hotels.
Diversification Opportunities for Host Hotels and Park Hotels
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Host and Park is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Host Hotels Resorts and Park Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Park Hotels Resorts 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 Park Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Park Hotels Resorts has no effect on the direction of Host Hotels i.e., Host Hotels and Park Hotels go up and down completely randomly.
Pair Corralation between Host Hotels and Park Hotels
Assuming the 90 days horizon Host Hotels Resorts is expected to generate 0.84 times more return on investment than Park Hotels. However, Host Hotels Resorts is 1.2 times less risky than Park Hotels. It trades about 0.1 of its potential returns per unit of risk. Park Hotels Resorts is currently generating about 0.06 per unit of risk. If you would invest 1,570 in Host Hotels Resorts on September 2, 2024 and sell it today you would earn a total of 160.00 from holding Host Hotels Resorts or generate 10.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Host Hotels Resorts vs. Park Hotels Resorts
Performance |
Timeline |
Host Hotels Resorts |
Park Hotels Resorts |
Host Hotels and Park Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Host Hotels and Park Hotels
The main advantage of trading using opposite Host Hotels and Park Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Host Hotels position performs unexpectedly, Park 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 Park Hotels will offset losses from the drop in Park Hotels' long position.Host Hotels vs. Entravision Communications | Host Hotels vs. KRISPY KREME DL 01 | Host Hotels vs. Harmony Gold Mining | Host Hotels vs. JAPAN TOBACCO UNSPADR12 |
Park Hotels vs. Guidewire Software | Park Hotels vs. PSI Software AG | Park Hotels vs. Zijin Mining Group | Park Hotels vs. Mitsui Chemicals |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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