Correlation Between CHINA EDUCATION and RETAIL FOOD
Can any of the company-specific risk be diversified away by investing in both CHINA EDUCATION 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 CHINA EDUCATION and RETAIL FOOD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA EDUCATION GROUP and RETAIL FOOD GROUP, you can compare the effects of market volatilities on CHINA EDUCATION 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 CHINA EDUCATION with a short position of RETAIL FOOD. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA EDUCATION and RETAIL FOOD.
Diversification Opportunities for CHINA EDUCATION and RETAIL FOOD
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between CHINA and RETAIL is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding CHINA EDUCATION GROUP 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 CHINA EDUCATION 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 CHINA EDUCATION GROUP 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 CHINA EDUCATION i.e., CHINA EDUCATION and RETAIL FOOD go up and down completely randomly.
Pair Corralation between CHINA EDUCATION and RETAIL FOOD
Assuming the 90 days horizon CHINA EDUCATION GROUP is expected to generate 1.78 times more return on investment than RETAIL FOOD. However, CHINA EDUCATION is 1.78 times more volatile than RETAIL FOOD GROUP. It trades about 0.04 of its potential returns per unit of risk. RETAIL FOOD GROUP is currently generating about -0.05 per unit of risk. If you would invest 32.00 in CHINA EDUCATION GROUP on October 25, 2024 and sell it today you would earn a total of 7.00 from holding CHINA EDUCATION GROUP or generate 21.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA EDUCATION GROUP vs. RETAIL FOOD GROUP
Performance |
Timeline |
CHINA EDUCATION GROUP |
RETAIL FOOD GROUP |
CHINA EDUCATION and RETAIL FOOD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA EDUCATION and RETAIL FOOD
The main advantage of trading using opposite CHINA EDUCATION and RETAIL FOOD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA EDUCATION 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.CHINA EDUCATION vs. Nexstar Media Group | CHINA EDUCATION vs. Universal Entertainment | CHINA EDUCATION vs. Ares Management Corp | CHINA EDUCATION vs. RCS MediaGroup SpA |
RETAIL FOOD vs. BJs Restaurants | RETAIL FOOD vs. Haverty Furniture Companies | RETAIL FOOD vs. Haier Smart Home | RETAIL FOOD vs. Urban Outfitters |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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