Correlation Between Vienna Insurance and CVW CLEANTECH
Can any of the company-specific risk be diversified away by investing in both Vienna Insurance and CVW CLEANTECH 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 CVW CLEANTECH 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 CVW CLEANTECH INC, you can compare the effects of market volatilities on Vienna Insurance and CVW CLEANTECH 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 CVW CLEANTECH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vienna Insurance and CVW CLEANTECH.
Diversification Opportunities for Vienna Insurance and CVW CLEANTECH
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Vienna and CVW is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Vienna Insurance Group and CVW CLEANTECH INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CVW CLEANTECH INC 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 CVW CLEANTECH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CVW CLEANTECH INC has no effect on the direction of Vienna Insurance i.e., Vienna Insurance and CVW CLEANTECH go up and down completely randomly.
Pair Corralation between Vienna Insurance and CVW CLEANTECH
Assuming the 90 days trading horizon Vienna Insurance is expected to generate 1.94 times less return on investment than CVW CLEANTECH. But when comparing it to its historical volatility, Vienna Insurance Group is 2.66 times less risky than CVW CLEANTECH. It trades about 0.13 of its potential returns per unit of risk. CVW CLEANTECH INC is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 55.00 in CVW CLEANTECH INC on April 25, 2025 and sell it today you would earn a total of 10.00 from holding CVW CLEANTECH INC or generate 18.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Vienna Insurance Group vs. CVW CLEANTECH INC
Performance |
Timeline |
Vienna Insurance |
CVW CLEANTECH INC |
Vienna Insurance and CVW CLEANTECH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vienna Insurance and CVW CLEANTECH
The main advantage of trading using opposite Vienna Insurance and CVW CLEANTECH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vienna Insurance position performs unexpectedly, CVW CLEANTECH 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 CVW CLEANTECH will offset losses from the drop in CVW CLEANTECH's long position.Vienna Insurance vs. Enter Air SA | Vienna Insurance vs. ELMOS SEMICONDUCTOR | Vienna Insurance vs. Corsair Gaming | Vienna Insurance vs. Delta Air Lines |
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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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