Correlation Between COVIVIO HOTELS and RETAIL FOOD
Can any of the company-specific risk be diversified away by investing in both COVIVIO HOTELS and RETAIL FOOD 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 RETAIL FOOD 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 RETAIL FOOD GROUP, you can compare the effects of market volatilities on COVIVIO HOTELS and RETAIL FOOD 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 RETAIL FOOD. Check out your portfolio center. Please also check ongoing floating volatility patterns of COVIVIO HOTELS and RETAIL FOOD.
Diversification Opportunities for COVIVIO HOTELS and RETAIL FOOD
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between COVIVIO and RETAIL is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding COVIVIO HOTELS INH and RETAIL FOOD GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RETAIL FOOD 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 RETAIL FOOD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RETAIL FOOD GROUP has no effect on the direction of COVIVIO HOTELS i.e., COVIVIO HOTELS and RETAIL FOOD go up and down completely randomly.
Pair Corralation between COVIVIO HOTELS and RETAIL FOOD
Assuming the 90 days horizon COVIVIO HOTELS INH is expected to generate 0.47 times more return on investment than RETAIL FOOD. However, COVIVIO HOTELS INH is 2.11 times less risky than RETAIL FOOD. It trades about 0.07 of its potential returns per unit of risk. RETAIL FOOD GROUP is currently generating about -0.02 per unit of risk. If you would invest 1,306 in COVIVIO HOTELS INH on October 11, 2024 and sell it today you would earn a total of 764.00 from holding COVIVIO HOTELS INH or generate 58.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
COVIVIO HOTELS INH vs. RETAIL FOOD GROUP
Performance |
Timeline |
COVIVIO HOTELS INH |
RETAIL FOOD GROUP |
COVIVIO HOTELS and RETAIL FOOD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COVIVIO HOTELS and RETAIL FOOD
The main advantage of trading using opposite COVIVIO HOTELS and RETAIL FOOD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COVIVIO HOTELS position performs unexpectedly, RETAIL FOOD 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 RETAIL FOOD will offset losses from the drop in RETAIL FOOD's long position.COVIVIO HOTELS vs. PACIFIC ONLINE | COVIVIO HOTELS vs. Global Ship Lease | COVIVIO HOTELS vs. UNITED RENTALS | COVIVIO HOTELS vs. Quaker Chemical |
RETAIL FOOD vs. Take Two Interactive Software | RETAIL FOOD vs. VITEC SOFTWARE GROUP | RETAIL FOOD vs. OPERA SOFTWARE | RETAIL FOOD vs. Air Lease |
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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