Correlation Between COVIVIO HOTELS and PPHE HOTEL
Can any of the company-specific risk be diversified away by investing in both COVIVIO HOTELS and PPHE HOTEL 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 COVIVIO HOTELS and PPHE HOTEL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COVIVIO HOTELS INH and PPHE HOTEL GROUP, you can compare the effects of market volatilities on COVIVIO HOTELS and PPHE HOTEL 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 COVIVIO HOTELS with a short position of PPHE HOTEL. Check out your portfolio center. Please also check ongoing floating volatility patterns of COVIVIO HOTELS and PPHE HOTEL.
Diversification Opportunities for COVIVIO HOTELS and PPHE HOTEL
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between COVIVIO and PPHE is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding COVIVIO HOTELS INH and PPHE HOTEL GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PPHE HOTEL GROUP and COVIVIO 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 COVIVIO HOTELS INH are associated (or correlated) with PPHE HOTEL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PPHE HOTEL GROUP has no effect on the direction of COVIVIO HOTELS i.e., COVIVIO HOTELS and PPHE HOTEL go up and down completely randomly.
Pair Corralation between COVIVIO HOTELS and PPHE HOTEL
Assuming the 90 days horizon COVIVIO HOTELS is expected to generate 2.69 times less return on investment than PPHE HOTEL. But when comparing it to its historical volatility, COVIVIO HOTELS INH is 1.12 times less risky than PPHE HOTEL. It trades about 0.2 of its potential returns per unit of risk. PPHE HOTEL GROUP is currently generating about 0.49 of returns per unit of risk over similar time horizon. If you would invest 1,410 in PPHE HOTEL GROUP on October 4, 2024 and sell it today you would earn a total of 280.00 from holding PPHE HOTEL GROUP or generate 19.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.74% |
Values | Daily Returns |
COVIVIO HOTELS INH vs. PPHE HOTEL GROUP
Performance |
Timeline |
COVIVIO HOTELS INH |
PPHE HOTEL GROUP |
COVIVIO HOTELS and PPHE HOTEL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COVIVIO HOTELS and PPHE HOTEL
The main advantage of trading using opposite COVIVIO HOTELS and PPHE HOTEL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COVIVIO HOTELS position performs unexpectedly, PPHE HOTEL 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 PPHE HOTEL will offset losses from the drop in PPHE HOTEL's long position.COVIVIO HOTELS vs. Japan Tobacco | COVIVIO HOTELS vs. EBRO FOODS | COVIVIO HOTELS vs. LIFEWAY FOODS | COVIVIO HOTELS vs. SOLSTAD OFFSHORE NK |
PPHE HOTEL vs. EVS Broadcast Equipment | PPHE HOTEL vs. QINGCI GAMES INC | PPHE HOTEL vs. Chesapeake Utilities | PPHE HOTEL vs. BROADWIND ENRGY |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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