Correlation Between Morgan Stanley and Coca Cola
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley 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 Morgan Stanley and Coca Cola into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Direct and Coca Cola FEMSA SAB, you can compare the effects of market volatilities on Morgan Stanley 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 Morgan Stanley with a short position of Coca Cola. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Coca Cola.
Diversification Opportunities for Morgan Stanley and Coca Cola
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Morgan and Coca is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Coca Cola FEMSA SAB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coca Cola FEMSA and Morgan Stanley 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 Morgan Stanley Direct 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 FEMSA has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Coca Cola go up and down completely randomly.
Pair Corralation between Morgan Stanley and Coca Cola
Given the investment horizon of 90 days Morgan Stanley is expected to generate 3.32 times less return on investment than Coca Cola. But when comparing it to its historical volatility, Morgan Stanley Direct is 3.46 times less risky than Coca Cola. It trades about 0.01 of its potential returns per unit of risk. Coca Cola FEMSA SAB is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 809.00 in Coca Cola FEMSA SAB on September 24, 2024 and sell it today you would lose (3.00) from holding Coca Cola FEMSA SAB or give up 0.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Morgan Stanley Direct vs. Coca Cola FEMSA SAB
Performance |
Timeline |
Morgan Stanley Direct |
Coca Cola FEMSA |
Morgan Stanley and Coca Cola Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Coca Cola
The main advantage of trading using opposite Morgan Stanley and Coca Cola positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley 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.Morgan Stanley vs. Uranium Energy Corp | Morgan Stanley vs. Alaska Air Group | Morgan Stanley vs. Coursera | Morgan Stanley vs. Four Seasons Education |
Coca Cola vs. The Coca Cola | Coca Cola vs. PepsiCo | Coca Cola vs. Nongfu Spring Co | Coca Cola vs. Monster 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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