Correlation Between Bell Food and UNIQA Insurance
Can any of the company-specific risk be diversified away by investing in both Bell Food and UNIQA 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 Bell Food and UNIQA Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bell Food Group and UNIQA Insurance Group, you can compare the effects of market volatilities on Bell Food and UNIQA 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 Bell Food with a short position of UNIQA Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bell Food and UNIQA Insurance.
Diversification Opportunities for Bell Food and UNIQA Insurance
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bell and UNIQA is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Bell Food Group and UNIQA Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNIQA Insurance Group and Bell Food 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 Bell Food Group are associated (or correlated) with UNIQA Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNIQA Insurance Group has no effect on the direction of Bell Food i.e., Bell Food and UNIQA Insurance go up and down completely randomly.
Pair Corralation between Bell Food and UNIQA Insurance
Assuming the 90 days trading horizon Bell Food Group is expected to under-perform the UNIQA Insurance. In addition to that, Bell Food is 1.4 times more volatile than UNIQA Insurance Group. It trades about -0.06 of its total potential returns per unit of risk. UNIQA Insurance Group is currently generating about 0.39 per unit of volatility. If you would invest 773.00 in UNIQA Insurance Group on December 23, 2024 and sell it today you would earn a total of 199.00 from holding UNIQA Insurance Group or generate 25.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Bell Food Group vs. UNIQA Insurance Group
Performance |
Timeline |
Bell Food Group |
UNIQA Insurance Group |
Bell Food and UNIQA Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bell Food and UNIQA Insurance
The main advantage of trading using opposite Bell Food and UNIQA Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bell Food position performs unexpectedly, UNIQA 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 UNIQA Insurance will offset losses from the drop in UNIQA Insurance's long position.Bell Food vs. Nordea Bank Abp | Bell Food vs. Hochschild Mining plc | Bell Food vs. Charter Communications Cl | Bell Food vs. Various Eateries PLC |
UNIQA Insurance vs. Hochschild Mining plc | UNIQA Insurance vs. Allianz Technology Trust | UNIQA Insurance vs. Cognizant Technology Solutions | UNIQA Insurance vs. Jade Road Investments |
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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