Correlation Between GROUP and Coca Cola
Specify exactly 2 symbols:
By analyzing existing cross correlation between GROUP 1 AUTOMOTIVE and The Coca Cola, you can compare the effects of market volatilities on GROUP and Coca Cola 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 GROUP with a short position of Coca Cola. Check out your portfolio center. Please also check ongoing floating volatility patterns of GROUP and Coca Cola.
Diversification Opportunities for GROUP and Coca Cola
Very weak diversification
The 3 months correlation between GROUP and Coca is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding GROUP 1 AUTOMOTIVE and The Coca Cola in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coca Cola and GROUP 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 GROUP 1 AUTOMOTIVE are associated (or correlated) with Coca Cola. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coca Cola has no effect on the direction of GROUP i.e., GROUP and Coca Cola go up and down completely randomly.
Pair Corralation between GROUP and Coca Cola
Assuming the 90 days trading horizon GROUP 1 AUTOMOTIVE is expected to under-perform the Coca Cola. In addition to that, GROUP is 1.52 times more volatile than The Coca Cola. It trades about -0.29 of its total potential returns per unit of risk. The Coca Cola is currently generating about -0.06 per unit of volatility. If you would invest 6,482 in The Coca Cola on September 1, 2024 and sell it today you would lose (74.00) from holding The Coca Cola or give up 1.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
GROUP 1 AUTOMOTIVE vs. The Coca Cola
Performance |
Timeline |
GROUP 1 AUTOMOTIVE |
Coca Cola |
GROUP and Coca Cola Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GROUP and Coca Cola
The main advantage of trading using opposite GROUP and Coca Cola positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GROUP position performs unexpectedly, Coca Cola 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 Coca Cola will offset losses from the drop in Coca Cola's long position.The idea behind GROUP 1 AUTOMOTIVE and The Coca Cola pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Coca Cola vs. Vita Coco | Coca Cola vs. Coca Cola Femsa SAB | Coca Cola vs. Embotelladora Andina SA | Coca Cola vs. National Beverage Corp |
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 Global Correlations module to find global opportunities by holding instruments from different markets.
Other Complementary Tools
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Money Managers Screen money managers from public funds and ETFs managed around the world |