Correlation Between Talanx AG and United Insurance
Can any of the company-specific risk be diversified away by investing in both Talanx AG 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 Talanx AG and United Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Talanx AG and United Insurance Holdings, you can compare the effects of market volatilities on Talanx AG 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 Talanx AG with a short position of United Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Talanx AG and United Insurance.
Diversification Opportunities for Talanx AG and United Insurance
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Talanx and United is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Talanx AG 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 Talanx AG 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 Talanx AG 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 Talanx AG i.e., Talanx AG and United Insurance go up and down completely randomly.
Pair Corralation between Talanx AG and United Insurance
Assuming the 90 days trading horizon Talanx AG is expected to generate 0.4 times more return on investment than United Insurance. However, Talanx AG is 2.51 times less risky than United Insurance. It trades about 0.05 of its potential returns per unit of risk. United Insurance Holdings is currently generating about 0.02 per unit of risk. If you would invest 8,140 in Talanx AG on October 4, 2024 and sell it today you would earn a total of 75.00 from holding Talanx AG or generate 0.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Talanx AG vs. United Insurance Holdings
Performance |
Timeline |
Talanx AG |
United Insurance Holdings |
Talanx AG and United Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Talanx AG and United Insurance
The main advantage of trading using opposite Talanx AG and United Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Talanx AG 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.Talanx AG vs. OURGAME INTHOLDL 00005 | Talanx AG vs. Highlight Communications AG | Talanx AG vs. GameStop Corp | Talanx AG vs. COMBA TELECOM SYST |
United Insurance vs. Insurance Australia Group | United Insurance vs. Superior Plus Corp | United Insurance vs. NMI Holdings | United Insurance vs. Origin Agritech |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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