Correlation Between FC Investment and Virgin Wines
Can any of the company-specific risk be diversified away by investing in both FC Investment and Virgin Wines 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 FC Investment and Virgin Wines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FC Investment Trust and Virgin Wines UK, you can compare the effects of market volatilities on FC Investment and Virgin Wines 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 FC Investment with a short position of Virgin Wines. Check out your portfolio center. Please also check ongoing floating volatility patterns of FC Investment and Virgin Wines.
Diversification Opportunities for FC Investment and Virgin Wines
-0.86 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between FCIT and Virgin is -0.86. Overlapping area represents the amount of risk that can be diversified away by holding FC Investment Trust and Virgin Wines UK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Virgin Wines UK and FC Investment 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 FC Investment Trust are associated (or correlated) with Virgin Wines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Virgin Wines UK has no effect on the direction of FC Investment i.e., FC Investment and Virgin Wines go up and down completely randomly.
Pair Corralation between FC Investment and Virgin Wines
Assuming the 90 days trading horizon FC Investment Trust is expected to generate 0.37 times more return on investment than Virgin Wines. However, FC Investment Trust is 2.71 times less risky than Virgin Wines. It trades about 0.05 of its potential returns per unit of risk. Virgin Wines UK is currently generating about -0.2 per unit of risk. If you would invest 109,600 in FC Investment Trust on September 21, 2024 and sell it today you would earn a total of 800.00 from holding FC Investment Trust or generate 0.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
FC Investment Trust vs. Virgin Wines UK
Performance |
Timeline |
FC Investment Trust |
Virgin Wines UK |
FC Investment and Virgin Wines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FC Investment and Virgin Wines
The main advantage of trading using opposite FC Investment and Virgin Wines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FC Investment position performs unexpectedly, Virgin Wines 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 Virgin Wines will offset losses from the drop in Virgin Wines' long position.FC Investment vs. Virgin Wines UK | FC Investment vs. Aeorema Communications Plc | FC Investment vs. The Mercantile Investment | FC Investment vs. Hansa Investment |
Virgin Wines vs. Ondine Biomedical | Virgin Wines vs. Europa Metals | Virgin Wines vs. Revolution Beauty Group | Virgin Wines vs. Moonpig Group 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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