Correlation Between VIVA WINE and FuelCell Energy
Can any of the company-specific risk be diversified away by investing in both VIVA WINE and FuelCell Energy 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 VIVA WINE and FuelCell Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VIVA WINE GROUP and FuelCell Energy, you can compare the effects of market volatilities on VIVA WINE and FuelCell Energy 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 VIVA WINE with a short position of FuelCell Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of VIVA WINE and FuelCell Energy.
Diversification Opportunities for VIVA WINE and FuelCell Energy
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between VIVA and FuelCell is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding VIVA WINE GROUP and FuelCell Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FuelCell Energy and VIVA WINE 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 VIVA WINE GROUP are associated (or correlated) with FuelCell Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FuelCell Energy has no effect on the direction of VIVA WINE i.e., VIVA WINE and FuelCell Energy go up and down completely randomly.
Pair Corralation between VIVA WINE and FuelCell Energy
Assuming the 90 days horizon VIVA WINE GROUP is expected to generate 0.89 times more return on investment than FuelCell Energy. However, VIVA WINE GROUP is 1.12 times less risky than FuelCell Energy. It trades about 0.05 of its potential returns per unit of risk. FuelCell Energy is currently generating about -0.04 per unit of risk. If you would invest 126.00 in VIVA WINE GROUP on September 26, 2024 and sell it today you would earn a total of 198.00 from holding VIVA WINE GROUP or generate 157.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
VIVA WINE GROUP vs. FuelCell Energy
Performance |
Timeline |
VIVA WINE GROUP |
FuelCell Energy |
VIVA WINE and FuelCell Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with VIVA WINE and FuelCell Energy
The main advantage of trading using opposite VIVA WINE and FuelCell Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VIVA WINE position performs unexpectedly, FuelCell Energy 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 FuelCell Energy will offset losses from the drop in FuelCell Energy's long position.VIVA WINE vs. Mitsubishi Gas Chemical | VIVA WINE vs. KINGBOARD CHEMICAL | VIVA WINE vs. Japan Tobacco | VIVA WINE vs. Astral Foods Limited |
FuelCell Energy vs. THRACE PLASTICS | FuelCell Energy vs. VIVA WINE GROUP | FuelCell Energy vs. Gladstone Investment | FuelCell Energy vs. Materialise NV |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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