Correlation Between Coca Cola and Mars Acquisition
Can any of the company-specific risk be diversified away by investing in both Coca Cola and Mars Acquisition 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 Mars Acquisition 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 Mars Acquisition Corp, you can compare the effects of market volatilities on Coca Cola and Mars Acquisition 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 Mars Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coca Cola and Mars Acquisition.
Diversification Opportunities for Coca Cola and Mars Acquisition
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Coca and Mars is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding The Coca Cola and Mars Acquisition Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mars Acquisition Corp 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 Mars Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mars Acquisition Corp has no effect on the direction of Coca Cola i.e., Coca Cola and Mars Acquisition go up and down completely randomly.
Pair Corralation between Coca Cola and Mars Acquisition
Allowing for the 90-day total investment horizon The Coca Cola is expected to under-perform the Mars Acquisition. But the stock apears to be less risky and, when comparing its historical volatility, The Coca Cola is 7.46 times less risky than Mars Acquisition. The stock trades about -0.06 of its potential returns per unit of risk. The Mars Acquisition Corp is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 31.00 in Mars Acquisition Corp on September 22, 2024 and sell it today you would earn a total of 7.00 from holding Mars Acquisition Corp or generate 22.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 85.71% |
Values | Daily Returns |
The Coca Cola vs. Mars Acquisition Corp
Performance |
Timeline |
Coca Cola |
Mars Acquisition Corp |
Coca Cola and Mars Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Coca Cola and Mars Acquisition
The main advantage of trading using opposite Coca Cola and Mars Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coca Cola position performs unexpectedly, Mars Acquisition 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 Mars Acquisition will offset losses from the drop in Mars Acquisition's long position.Coca Cola vs. Monster Beverage Corp | Coca Cola vs. Celsius Holdings | Coca Cola vs. Coca Cola Consolidated | Coca Cola vs. Keurig Dr Pepper |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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