Correlation Between Vienna Insurance and Microsoft
Can any of the company-specific risk be diversified away by investing in both Vienna Insurance and Microsoft 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 Microsoft 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 Microsoft, you can compare the effects of market volatilities on Vienna Insurance and Microsoft 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 Microsoft. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vienna Insurance and Microsoft.
Diversification Opportunities for Vienna Insurance and Microsoft
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Vienna and Microsoft is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Vienna Insurance Group and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft 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 Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of Vienna Insurance i.e., Vienna Insurance and Microsoft go up and down completely randomly.
Pair Corralation between Vienna Insurance and Microsoft
Assuming the 90 days trading horizon Vienna Insurance is expected to generate 1.87 times less return on investment than Microsoft. But when comparing it to its historical volatility, Vienna Insurance Group is 1.14 times less risky than Microsoft. It trades about 0.06 of its potential returns per unit of risk. Microsoft is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 22,314 in Microsoft on October 22, 2024 and sell it today you would earn a total of 19,436 from holding Microsoft or generate 87.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Vienna Insurance Group vs. Microsoft
Performance |
Timeline |
Vienna Insurance |
Microsoft |
Vienna Insurance and Microsoft Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vienna Insurance and Microsoft
The main advantage of trading using opposite Vienna Insurance and Microsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vienna Insurance position performs unexpectedly, Microsoft 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 Microsoft will offset losses from the drop in Microsoft's long position.Vienna Insurance vs. Townsquare Media | Vienna Insurance vs. ANTA SPORTS PRODUCT | Vienna Insurance vs. NXP Semiconductors NV | Vienna Insurance vs. PENN Entertainment |
Microsoft vs. NAGOYA RAILROAD | Microsoft vs. HOME DEPOT | Microsoft vs. Neinor Homes SA | Microsoft vs. Gaztransport Technigaz SA |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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