Correlation Between Axway Software and Vienna Insurance
Can any of the company-specific risk be diversified away by investing in both Axway Software 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 Axway Software and Vienna Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Axway Software SA and Vienna Insurance Group, you can compare the effects of market volatilities on Axway Software 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 Axway Software with a short position of Vienna Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Axway Software and Vienna Insurance.
Diversification Opportunities for Axway Software and Vienna Insurance
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Axway and Vienna is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Axway Software SA and Vienna Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vienna Insurance and Axway Software 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 Axway Software SA 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 Axway Software i.e., Axway Software and Vienna Insurance go up and down completely randomly.
Pair Corralation between Axway Software and Vienna Insurance
Assuming the 90 days trading horizon Axway Software SA is expected to generate 1.31 times more return on investment than Vienna Insurance. However, Axway Software is 1.31 times more volatile than Vienna Insurance Group. It trades about 0.25 of its potential returns per unit of risk. Vienna Insurance Group is currently generating about -0.14 per unit of risk. If you would invest 2,280 in Axway Software SA on August 31, 2024 and sell it today you would earn a total of 490.00 from holding Axway Software SA or generate 21.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Axway Software SA vs. Vienna Insurance Group
Performance |
Timeline |
Axway Software SA |
Vienna Insurance |
Axway Software and Vienna Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Axway Software and Vienna Insurance
The main advantage of trading using opposite Axway Software and Vienna Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Axway Software 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.Axway Software vs. Polar Capital Technology | Axway Software vs. Sabien Technology Group | Axway Software vs. Auction Technology Group | Axway Software vs. Check Point Software |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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