Correlation Between Monster Beverage and Hilton Food
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and Hilton Food 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 Hilton Food 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 Hilton Food Group, you can compare the effects of market volatilities on Monster Beverage and Hilton Food 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 Hilton Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and Hilton Food.
Diversification Opportunities for Monster Beverage and Hilton Food
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Monster and Hilton is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage Corp and Hilton Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hilton Food Group 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 Hilton Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hilton Food Group has no effect on the direction of Monster Beverage i.e., Monster Beverage and Hilton Food go up and down completely randomly.
Pair Corralation between Monster Beverage and Hilton Food
Assuming the 90 days trading horizon Monster Beverage Corp is expected to generate 1.14 times more return on investment than Hilton Food. However, Monster Beverage is 1.14 times more volatile than Hilton Food Group. It trades about 0.15 of its potential returns per unit of risk. Hilton Food Group is currently generating about -0.03 per unit of risk. If you would invest 4,829 in Monster Beverage Corp on September 4, 2024 and sell it today you would earn a total of 711.00 from holding Monster Beverage Corp or generate 14.72% 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. Hilton Food Group
Performance |
Timeline |
Monster Beverage Corp |
Hilton Food Group |
Monster Beverage and Hilton Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and Hilton Food
The main advantage of trading using opposite Monster Beverage and Hilton Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, Hilton Food 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 Hilton Food will offset losses from the drop in Hilton Food's long position.Monster Beverage vs. Samsung Electronics Co | Monster Beverage vs. Samsung Electronics Co | Monster Beverage vs. Hyundai Motor | Monster Beverage vs. Toyota Motor Corp |
Hilton Food vs. Samsung Electronics Co | Hilton Food vs. Samsung Electronics Co | Hilton Food vs. Hyundai Motor | Hilton Food vs. Toyota Motor 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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