Correlation Between ZURICH INSURANCE and Marie Brizard
Can any of the company-specific risk be diversified away by investing in both ZURICH INSURANCE and Marie Brizard 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 ZURICH INSURANCE and Marie Brizard into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ZURICH INSURANCE GROUP and Marie Brizard Wine, you can compare the effects of market volatilities on ZURICH INSURANCE and Marie Brizard 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 ZURICH INSURANCE with a short position of Marie Brizard. Check out your portfolio center. Please also check ongoing floating volatility patterns of ZURICH INSURANCE and Marie Brizard.
Diversification Opportunities for ZURICH INSURANCE and Marie Brizard
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between ZURICH and Marie is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding ZURICH INSURANCE GROUP and Marie Brizard Wine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marie Brizard Wine and ZURICH INSURANCE 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 ZURICH INSURANCE GROUP are associated (or correlated) with Marie Brizard. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marie Brizard Wine has no effect on the direction of ZURICH INSURANCE i.e., ZURICH INSURANCE and Marie Brizard go up and down completely randomly.
Pair Corralation between ZURICH INSURANCE and Marie Brizard
Assuming the 90 days trading horizon ZURICH INSURANCE GROUP is expected to generate 0.84 times more return on investment than Marie Brizard. However, ZURICH INSURANCE GROUP is 1.18 times less risky than Marie Brizard. It trades about 0.13 of its potential returns per unit of risk. Marie Brizard Wine is currently generating about -0.24 per unit of risk. If you would invest 2,820 in ZURICH INSURANCE GROUP on December 20, 2024 and sell it today you would earn a total of 320.00 from holding ZURICH INSURANCE GROUP or generate 11.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.33% |
Values | Daily Returns |
ZURICH INSURANCE GROUP vs. Marie Brizard Wine
Performance |
Timeline |
ZURICH INSURANCE |
Marie Brizard Wine |
ZURICH INSURANCE and Marie Brizard Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ZURICH INSURANCE and Marie Brizard
The main advantage of trading using opposite ZURICH INSURANCE and Marie Brizard positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ZURICH INSURANCE position performs unexpectedly, Marie Brizard 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 Marie Brizard will offset losses from the drop in Marie Brizard's long position.ZURICH INSURANCE vs. FANDIFI TECHNOLOGY P | ZURICH INSURANCE vs. Sunny Optical Technology | ZURICH INSURANCE vs. EAT WELL INVESTMENT | ZURICH INSURANCE vs. Scottish Mortgage Investment |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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