Correlation Between NH Foods and Zurich Insurance
Can any of the company-specific risk be diversified away by investing in both NH Foods 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 NH Foods and Zurich Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NH Foods and Zurich Insurance Group, you can compare the effects of market volatilities on NH Foods 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 NH Foods with a short position of Zurich Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of NH Foods and Zurich Insurance.
Diversification Opportunities for NH Foods and Zurich Insurance
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NI6 and Zurich is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding NH Foods and Zurich Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zurich Insurance and NH Foods 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 NH Foods 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 NH Foods i.e., NH Foods and Zurich Insurance go up and down completely randomly.
Pair Corralation between NH Foods and Zurich Insurance
Assuming the 90 days horizon NH Foods is expected to under-perform the Zurich Insurance. In addition to that, NH Foods is 1.02 times more volatile than Zurich Insurance Group. It trades about -0.15 of its total potential returns per unit of risk. Zurich Insurance Group is currently generating about -0.08 per unit of volatility. If you would invest 3,140 in Zurich Insurance Group on May 8, 2025 and sell it today you would lose (220.00) from holding Zurich Insurance Group or give up 7.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
NH Foods vs. Zurich Insurance Group
Performance |
Timeline |
NH Foods |
Zurich Insurance |
NH Foods and Zurich Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NH Foods and Zurich Insurance
The main advantage of trading using opposite NH Foods and Zurich Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NH Foods 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.The idea behind NH Foods and Zurich Insurance Group pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Zurich Insurance vs. Berkshire Hathaway | Zurich Insurance vs. Assicurazioni Generali SpA | Zurich Insurance vs. Sun Life Financial | Zurich Insurance vs. Arch Capital Group |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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