Correlation Between Vienna Insurance and United Insurance
Can any of the company-specific risk be diversified away by investing in both Vienna Insurance and United 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 Vienna Insurance and United Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vienna Insurance Group and United Insurance Holdings, you can compare the effects of market volatilities on Vienna Insurance and United 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 Vienna Insurance with a short position of United Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vienna Insurance and United Insurance.
Diversification Opportunities for Vienna Insurance and United Insurance
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Vienna and United is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Vienna Insurance Group and United Insurance Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Insurance Holdings and Vienna 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 Vienna Insurance Group are associated (or correlated) with United Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Insurance Holdings has no effect on the direction of Vienna Insurance i.e., Vienna Insurance and United Insurance go up and down completely randomly.
Pair Corralation between Vienna Insurance and United Insurance
Assuming the 90 days trading horizon Vienna Insurance Group is expected to generate 0.62 times more return on investment than United Insurance. However, Vienna Insurance Group is 1.62 times less risky than United Insurance. It trades about 0.17 of its potential returns per unit of risk. United Insurance Holdings is currently generating about 0.01 per unit of risk. If you would invest 3,871 in Vienna Insurance Group on April 21, 2025 and sell it today you would earn a total of 589.00 from holding Vienna Insurance Group or generate 15.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Vienna Insurance Group vs. United Insurance Holdings
Performance |
Timeline |
Vienna Insurance |
United Insurance Holdings |
Vienna Insurance and United Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vienna Insurance and United Insurance
The main advantage of trading using opposite Vienna Insurance and United Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vienna Insurance position performs unexpectedly, United 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 United Insurance will offset losses from the drop in United Insurance's long position.Vienna Insurance vs. Grupo Media Capital | Vienna Insurance vs. LG Display Co | Vienna Insurance vs. Dave Busters Entertainment | Vienna Insurance vs. RCS MediaGroup SpA |
United Insurance vs. Broadwind | United Insurance vs. CITIC Telecom International | United Insurance vs. COMBA TELECOM SYST | United Insurance vs. Chunghwa Telecom Co |
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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