Correlation Between NAKED WINES and ZURICH INSURANCE
Can any of the company-specific risk be diversified away by investing in both NAKED WINES 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 NAKED WINES and ZURICH INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NAKED WINES PLC and ZURICH INSURANCE GROUP, you can compare the effects of market volatilities on NAKED WINES 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 NAKED WINES with a short position of ZURICH INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of NAKED WINES and ZURICH INSURANCE.
Diversification Opportunities for NAKED WINES and ZURICH INSURANCE
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NAKED and ZURICH is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding NAKED WINES PLC and ZURICH INSURANCE GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZURICH INSURANCE and NAKED WINES 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 NAKED WINES PLC 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 NAKED WINES i.e., NAKED WINES and ZURICH INSURANCE go up and down completely randomly.
Pair Corralation between NAKED WINES and ZURICH INSURANCE
Assuming the 90 days horizon NAKED WINES PLC is expected to under-perform the ZURICH INSURANCE. In addition to that, NAKED WINES is 3.35 times more volatile than ZURICH INSURANCE GROUP. It trades about -0.02 of its total potential returns per unit of risk. ZURICH INSURANCE GROUP is currently generating about 0.22 per unit of volatility. If you would invest 2,600 in ZURICH INSURANCE GROUP on September 5, 2024 and sell it today you would earn a total of 360.00 from holding ZURICH INSURANCE GROUP or generate 13.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NAKED WINES PLC vs. ZURICH INSURANCE GROUP
Performance |
Timeline |
NAKED WINES PLC |
ZURICH INSURANCE |
NAKED WINES and ZURICH INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NAKED WINES and ZURICH INSURANCE
The main advantage of trading using opposite NAKED WINES and ZURICH INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NAKED WINES 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.NAKED WINES vs. CHINA TONTINE WINES | NAKED WINES vs. Superior Plus Corp | NAKED WINES vs. NMI Holdings | NAKED WINES vs. Origin Agritech |
ZURICH INSURANCE vs. COMMERCIAL VEHICLE | ZURICH INSURANCE vs. VIRGIN WINES UK | ZURICH INSURANCE vs. NAKED WINES PLC | ZURICH INSURANCE vs. ARROW ELECTRONICS |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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