Correlation Between Vienna Insurance and Universal Music
Can any of the company-specific risk be diversified away by investing in both Vienna Insurance and Universal Music 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 Universal Music 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 Universal Music Group, you can compare the effects of market volatilities on Vienna Insurance and Universal Music 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 Universal Music. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vienna Insurance and Universal Music.
Diversification Opportunities for Vienna Insurance and Universal Music
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Vienna and Universal is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Vienna Insurance Group and Universal Music Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Universal Music Group 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 Universal Music. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Universal Music Group has no effect on the direction of Vienna Insurance i.e., Vienna Insurance and Universal Music go up and down completely randomly.
Pair Corralation between Vienna Insurance and Universal Music
Assuming the 90 days trading horizon Vienna Insurance Group is expected to generate 0.62 times more return on investment than Universal Music. However, Vienna Insurance Group is 1.61 times less risky than Universal Music. It trades about 0.43 of its potential returns per unit of risk. Universal Music Group is currently generating about 0.04 per unit of risk. If you would invest 3,020 in Vienna Insurance Group on December 25, 2024 and sell it today you would earn a total of 975.00 from holding Vienna Insurance Group or generate 32.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Vienna Insurance Group vs. Universal Music Group
Performance |
Timeline |
Vienna Insurance |
Universal Music Group |
Vienna Insurance and Universal Music Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vienna Insurance and Universal Music
The main advantage of trading using opposite Vienna Insurance and Universal Music positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vienna Insurance position performs unexpectedly, Universal Music 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 Universal Music will offset losses from the drop in Universal Music's long position.Vienna Insurance vs. Fortune Brands Home | Vienna Insurance vs. LBG Media PLC | Vienna Insurance vs. Flutter Entertainment PLC | Vienna Insurance vs. Silver Bullet Data |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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