Correlation Between CRAWFORD + and Vienna Insurance
Can any of the company-specific risk be diversified away by investing in both CRAWFORD + 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 CRAWFORD + and Vienna Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CRAWFORD A NV and Vienna Insurance Group, you can compare the effects of market volatilities on CRAWFORD + 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 CRAWFORD + with a short position of Vienna Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of CRAWFORD + and Vienna Insurance.
Diversification Opportunities for CRAWFORD + and Vienna Insurance
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between CRAWFORD and Vienna is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding CRAWFORD A NV and Vienna Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vienna Insurance and CRAWFORD + 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 CRAWFORD A NV 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 CRAWFORD + i.e., CRAWFORD + and Vienna Insurance go up and down completely randomly.
Pair Corralation between CRAWFORD + and Vienna Insurance
Assuming the 90 days trading horizon CRAWFORD A NV is expected to generate 2.55 times more return on investment than Vienna Insurance. However, CRAWFORD + is 2.55 times more volatile than Vienna Insurance Group. It trades about 0.06 of its potential returns per unit of risk. Vienna Insurance Group is currently generating about 0.06 per unit of risk. If you would invest 545.00 in CRAWFORD A NV on October 11, 2024 and sell it today you would earn a total of 495.00 from holding CRAWFORD A NV or generate 90.83% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
CRAWFORD A NV vs. Vienna Insurance Group
Performance |
| Timeline |
| CRAWFORD A NV |
| Vienna Insurance |
CRAWFORD + and Vienna Insurance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with CRAWFORD + and Vienna Insurance
The main advantage of trading using opposite CRAWFORD + and Vienna Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CRAWFORD + 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.| CRAWFORD + vs. Forsys Metals Corp | CRAWFORD + vs. Aluminum of | CRAWFORD + vs. GALENA MINING LTD | CRAWFORD + vs. SERI INDUSTRIAL EO |
| Vienna Insurance vs. Tyson Foods | Vienna Insurance vs. United Natural Foods | Vienna Insurance vs. PLANT VEDA FOODS | Vienna Insurance vs. UNIDOC HEALTH P |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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