Correlation Between Bitcoin and Coca Cola
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Coca Cola 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 Bitcoin and Coca Cola into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and The Coca Cola, you can compare the effects of market volatilities on Bitcoin 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 Bitcoin with a short position of Coca Cola. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Coca Cola.
Diversification Opportunities for Bitcoin and Coca Cola
Excellent diversification
The 3 months correlation between Bitcoin and Coca is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and The Coca Cola in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coca Cola and Bitcoin 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 Bitcoin 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 Bitcoin i.e., Bitcoin and Coca Cola go up and down completely randomly.
Pair Corralation between Bitcoin and Coca Cola
Assuming the 90 days trading horizon Bitcoin is expected to generate 2.18 times more return on investment than Coca Cola. However, Bitcoin is 2.18 times more volatile than The Coca Cola. It trades about 0.2 of its potential returns per unit of risk. The Coca Cola is currently generating about -0.16 per unit of risk. If you would invest 5,797,552 in Bitcoin on November 2, 2024 and sell it today you would earn a total of 4,687,948 from holding Bitcoin or generate 80.86% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 96.26% |
| Values | Daily Returns |
Bitcoin vs. The Coca Cola
Performance |
| Timeline |
| Bitcoin |
| Coca Cola |
Bitcoin and Coca Cola Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bitcoin and Coca Cola
The main advantage of trading using opposite Bitcoin and Coca Cola positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin 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 Bitcoin 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. Grimoldi SA | Coca Cola vs. Transportadora de Gas | Coca Cola vs. Alphabet Inc Class A CEDEAR | Coca Cola vs. International Business Machines |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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