Correlation Between Monster Beverage and General Shopping
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and General Shopping 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 Monster Beverage and General Shopping into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Monster Beverage and General Shopping e, you can compare the effects of market volatilities on Monster Beverage and General Shopping 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 Monster Beverage with a short position of General Shopping. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and General Shopping.
Diversification Opportunities for Monster Beverage and General Shopping
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Monster and General is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage and General Shopping e in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Shopping e and Monster Beverage 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 Monster Beverage are associated (or correlated) with General Shopping. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Shopping e has no effect on the direction of Monster Beverage i.e., Monster Beverage and General Shopping go up and down completely randomly.
Pair Corralation between Monster Beverage and General Shopping
Assuming the 90 days trading horizon Monster Beverage is expected to generate 2.05 times more return on investment than General Shopping. However, Monster Beverage is 2.05 times more volatile than General Shopping e. It trades about -0.03 of its potential returns per unit of risk. General Shopping e is currently generating about -0.16 per unit of risk. If you would invest 4,198 in Monster Beverage on December 2, 2024 and sell it today you would lose (187.00) from holding Monster Beverage or give up 4.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Monster Beverage vs. General Shopping e
Performance |
Timeline |
Monster Beverage |
General Shopping e |
Monster Beverage and General Shopping Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and General Shopping
The main advantage of trading using opposite Monster Beverage and General Shopping positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, General Shopping 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 General Shopping will offset losses from the drop in General Shopping's long position.Monster Beverage vs. Global X Funds | Monster Beverage vs. CM Hospitalar SA | Monster Beverage vs. Jefferies Financial Group | Monster Beverage vs. Credit Acceptance |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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