Correlation Between RETAIL FOOD and ZURICH INSURANCE
Can any of the company-specific risk be diversified away by investing in both RETAIL FOOD and ZURICH INSURANCE 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 RETAIL FOOD and ZURICH INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RETAIL FOOD GROUP and ZURICH INSURANCE GROUP, you can compare the effects of market volatilities on RETAIL FOOD and ZURICH INSURANCE 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 RETAIL FOOD with a short position of ZURICH INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of RETAIL FOOD and ZURICH INSURANCE.
Diversification Opportunities for RETAIL FOOD and ZURICH INSURANCE
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between RETAIL and ZURICH is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding RETAIL FOOD GROUP and ZURICH INSURANCE GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZURICH INSURANCE and RETAIL FOOD 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 RETAIL FOOD GROUP are associated (or correlated) with ZURICH INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZURICH INSURANCE has no effect on the direction of RETAIL FOOD i.e., RETAIL FOOD and ZURICH INSURANCE go up and down completely randomly.
Pair Corralation between RETAIL FOOD and ZURICH INSURANCE
Assuming the 90 days trading horizon RETAIL FOOD GROUP is expected to under-perform the ZURICH INSURANCE. In addition to that, RETAIL FOOD is 2.09 times more volatile than ZURICH INSURANCE GROUP. It trades about -0.13 of its total potential returns per unit of risk. ZURICH INSURANCE GROUP is currently generating about 0.1 per unit of volatility. If you would invest 2,860 in ZURICH INSURANCE GROUP on December 23, 2024 and sell it today you would earn a total of 280.00 from holding ZURICH INSURANCE GROUP or generate 9.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
RETAIL FOOD GROUP vs. ZURICH INSURANCE GROUP
Performance |
Timeline |
RETAIL FOOD GROUP |
ZURICH INSURANCE |
RETAIL FOOD and ZURICH INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RETAIL FOOD and ZURICH INSURANCE
The main advantage of trading using opposite RETAIL FOOD and ZURICH INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RETAIL FOOD position performs unexpectedly, ZURICH INSURANCE 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 ZURICH INSURANCE will offset losses from the drop in ZURICH INSURANCE's long position.RETAIL FOOD vs. AIR LIQUIDE ADR | RETAIL FOOD vs. Electronic Arts | RETAIL FOOD vs. Renesas Electronics | RETAIL FOOD vs. UMC Electronics Co |
ZURICH INSURANCE vs. UNITED UTILITIES GR | ZURICH INSURANCE vs. PLAY2CHILL SA ZY | ZURICH INSURANCE vs. Addtech AB | ZURICH INSURANCE vs. ACCSYS TECHPLC EO |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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