Correlation Between Vienna Insurance and Bell Food
Can any of the company-specific risk be diversified away by investing in both Vienna Insurance and Bell Food 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 Bell Food 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 Bell Food Group, you can compare the effects of market volatilities on Vienna Insurance and Bell Food 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 Bell Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vienna Insurance and Bell Food.
Diversification Opportunities for Vienna Insurance and Bell Food
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Vienna and Bell is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Vienna Insurance Group and Bell Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bell Food 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 Bell Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bell Food Group has no effect on the direction of Vienna Insurance i.e., Vienna Insurance and Bell Food go up and down completely randomly.
Pair Corralation between Vienna Insurance and Bell Food
Assuming the 90 days trading horizon Vienna Insurance Group is expected to generate 0.77 times more return on investment than Bell Food. However, Vienna Insurance Group is 1.3 times less risky than Bell Food. It trades about 0.41 of its potential returns per unit of risk. Bell Food Group is currently generating about -0.06 per unit of risk. If you would invest 3,015 in Vienna Insurance Group on December 23, 2024 and sell it today you would earn a total of 900.00 from holding Vienna Insurance Group or generate 29.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Vienna Insurance Group vs. Bell Food Group
Performance |
Timeline |
Vienna Insurance |
Bell Food Group |
Vienna Insurance and Bell Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vienna Insurance and Bell Food
The main advantage of trading using opposite Vienna Insurance and Bell Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vienna Insurance position performs unexpectedly, Bell Food 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 Bell Food will offset losses from the drop in Bell Food's long position.Vienna Insurance vs. Berner Kantonalbank AG | Vienna Insurance vs. InterContinental Hotels Group | Vienna Insurance vs. Bank of Ireland | Vienna Insurance vs. Ecclesiastical Insurance Office |
Bell Food vs. Nordea Bank Abp | Bell Food vs. Hochschild Mining plc | Bell Food vs. Charter Communications Cl | Bell Food vs. Various Eateries PLC |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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