Correlation Between Addiko Bank and Vienna Insurance
Can any of the company-specific risk be diversified away by investing in both Addiko Bank and Vienna 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 Addiko Bank and Vienna Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Addiko Bank AG and Vienna Insurance Group, you can compare the effects of market volatilities on Addiko Bank and Vienna 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 Addiko Bank with a short position of Vienna Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Addiko Bank and Vienna Insurance.
Diversification Opportunities for Addiko Bank and Vienna Insurance
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Addiko and Vienna is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Addiko Bank AG and Vienna Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vienna Insurance and Addiko Bank 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 Addiko Bank AG are associated (or correlated) with Vienna Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vienna Insurance has no effect on the direction of Addiko Bank i.e., Addiko Bank and Vienna Insurance go up and down completely randomly.
Pair Corralation between Addiko Bank and Vienna Insurance
Assuming the 90 days trading horizon Addiko Bank AG is expected to generate 2.28 times more return on investment than Vienna Insurance. However, Addiko Bank is 2.28 times more volatile than Vienna Insurance Group. It trades about 0.14 of its potential returns per unit of risk. Vienna Insurance Group is currently generating about -0.04 per unit of risk. If you would invest 1,590 in Addiko Bank AG on September 15, 2024 and sell it today you would earn a total of 295.00 from holding Addiko Bank AG or generate 18.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Addiko Bank AG vs. Vienna Insurance Group
Performance |
Timeline |
Addiko Bank AG |
Vienna Insurance |
Addiko Bank and Vienna Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Addiko Bank and Vienna Insurance
The main advantage of trading using opposite Addiko Bank and Vienna Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Addiko Bank position performs unexpectedly, Vienna 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 Vienna Insurance will offset losses from the drop in Vienna Insurance's long position.Addiko Bank vs. Raiffeisen Bank International | Addiko Bank vs. BAWAG Group AG | Addiko Bank vs. Wiener Privatbank SE |
Vienna Insurance vs. Erste Group Bank | Vienna Insurance vs. UNIQA Insurance Group | Vienna Insurance vs. Raiffeisen Bank International | Vienna Insurance vs. Voestalpine AG |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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