Correlation Between Coca Cola and Abcellera Biologics
Can any of the company-specific risk be diversified away by investing in both Coca Cola and Abcellera Biologics 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 Coca Cola and Abcellera Biologics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Coca Cola and Abcellera Biologics, you can compare the effects of market volatilities on Coca Cola and Abcellera Biologics 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 Coca Cola with a short position of Abcellera Biologics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coca Cola and Abcellera Biologics.
Diversification Opportunities for Coca Cola and Abcellera Biologics
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Coca and Abcellera is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding The Coca Cola and Abcellera Biologics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Abcellera Biologics and Coca Cola 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 The Coca Cola are associated (or correlated) with Abcellera Biologics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Abcellera Biologics has no effect on the direction of Coca Cola i.e., Coca Cola and Abcellera Biologics go up and down completely randomly.
Pair Corralation between Coca Cola and Abcellera Biologics
Allowing for the 90-day total investment horizon The Coca Cola is expected to under-perform the Abcellera Biologics. But the stock apears to be less risky and, when comparing its historical volatility, The Coca Cola is 4.39 times less risky than Abcellera Biologics. The stock trades about -0.17 of its potential returns per unit of risk. The Abcellera Biologics is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 274.00 in Abcellera Biologics on September 19, 2024 and sell it today you would earn a total of 5.00 from holding Abcellera Biologics or generate 1.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Coca Cola vs. Abcellera Biologics
Performance |
Timeline |
Coca Cola |
Abcellera Biologics |
Coca Cola and Abcellera Biologics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Coca Cola and Abcellera Biologics
The main advantage of trading using opposite Coca Cola and Abcellera Biologics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coca Cola position performs unexpectedly, Abcellera Biologics 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 Abcellera Biologics will offset losses from the drop in Abcellera Biologics' long position.Coca Cola vs. Coca Cola Femsa SAB | Coca Cola vs. Coca Cola European Partners | Coca Cola vs. Coca Cola Consolidated |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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