Correlation Between Vienna Insurance and AMAG Austria
Can any of the company-specific risk be diversified away by investing in both Vienna Insurance and AMAG Austria 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 AMAG Austria 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 AMAG Austria Metall, you can compare the effects of market volatilities on Vienna Insurance and AMAG Austria 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 AMAG Austria. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vienna Insurance and AMAG Austria.
Diversification Opportunities for Vienna Insurance and AMAG Austria
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Vienna and AMAG is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Vienna Insurance Group and AMAG Austria Metall in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AMAG Austria Metall 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 AMAG Austria. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AMAG Austria Metall has no effect on the direction of Vienna Insurance i.e., Vienna Insurance and AMAG Austria go up and down completely randomly.
Pair Corralation between Vienna Insurance and AMAG Austria
Assuming the 90 days trading horizon Vienna Insurance Group is expected to generate 0.94 times more return on investment than AMAG Austria. However, Vienna Insurance Group is 1.07 times less risky than AMAG Austria. It trades about 0.42 of its potential returns per unit of risk. AMAG Austria Metall is currently generating about 0.13 per unit of risk. If you would invest 3,035 in Vienna Insurance Group on December 29, 2024 and sell it today you would earn a total of 1,060 from holding Vienna Insurance Group or generate 34.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Vienna Insurance Group vs. AMAG Austria Metall
Performance |
Timeline |
Vienna Insurance |
AMAG Austria Metall |
Vienna Insurance and AMAG Austria Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vienna Insurance and AMAG Austria
The main advantage of trading using opposite Vienna Insurance and AMAG Austria positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vienna Insurance position performs unexpectedly, AMAG Austria 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 AMAG Austria will offset losses from the drop in AMAG Austria's long position.Vienna Insurance vs. Erste Group Bank | Vienna Insurance vs. UNIQA Insurance Group | Vienna Insurance vs. Raiffeisen Bank International | Vienna Insurance vs. Voestalpine AG |
AMAG Austria vs. Lenzing Aktiengesellschaft | AMAG Austria vs. Voestalpine AG | AMAG Austria vs. EVN AG | AMAG Austria vs. Facc 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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