Correlation Between Monster Beverage and G-III Apparel
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and G-III Apparel 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 G-III Apparel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Monster Beverage Corp and G III Apparel Group, you can compare the effects of market volatilities on Monster Beverage and G-III Apparel 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 G-III Apparel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and G-III Apparel.
Diversification Opportunities for Monster Beverage and G-III Apparel
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Monster and G-III is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage Corp and G III Apparel Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on G III Apparel 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 Corp are associated (or correlated) with G-III Apparel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of G III Apparel has no effect on the direction of Monster Beverage i.e., Monster Beverage and G-III Apparel go up and down completely randomly.
Pair Corralation between Monster Beverage and G-III Apparel
Assuming the 90 days trading horizon Monster Beverage is expected to generate 1.43 times less return on investment than G-III Apparel. But when comparing it to its historical volatility, Monster Beverage Corp is 1.63 times less risky than G-III Apparel. It trades about 0.12 of its potential returns per unit of risk. G III Apparel Group is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,680 in G III Apparel Group on October 8, 2024 and sell it today you would earn a total of 420.00 from holding G III Apparel Group or generate 15.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Monster Beverage Corp vs. G III Apparel Group
Performance |
Timeline |
Monster Beverage Corp |
G III Apparel |
Monster Beverage and G-III Apparel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and G-III Apparel
The main advantage of trading using opposite Monster Beverage and G-III Apparel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, G-III Apparel 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 G-III Apparel will offset losses from the drop in G-III Apparel's long position.Monster Beverage vs. Apple Inc | Monster Beverage vs. Apple Inc | Monster Beverage vs. Apple Inc | Monster Beverage vs. Apple Inc |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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