Correlation Between Monster Beverage and First Hawaiian
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and First Hawaiian 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 First Hawaiian 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 First Hawaiian, you can compare the effects of market volatilities on Monster Beverage and First Hawaiian 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 First Hawaiian. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and First Hawaiian.
Diversification Opportunities for Monster Beverage and First Hawaiian
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Monster and First is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage Corp and First Hawaiian in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Hawaiian 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 First Hawaiian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Hawaiian has no effect on the direction of Monster Beverage i.e., Monster Beverage and First Hawaiian go up and down completely randomly.
Pair Corralation between Monster Beverage and First Hawaiian
Assuming the 90 days trading horizon Monster Beverage Corp is expected to generate 1.1 times more return on investment than First Hawaiian. However, Monster Beverage is 1.1 times more volatile than First Hawaiian. It trades about 0.04 of its potential returns per unit of risk. First Hawaiian is currently generating about -0.08 per unit of risk. If you would invest 4,956 in Monster Beverage Corp on December 21, 2024 and sell it today you would earn a total of 168.00 from holding Monster Beverage Corp or generate 3.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Monster Beverage Corp vs. First Hawaiian
Performance |
Timeline |
Monster Beverage Corp |
First Hawaiian |
Monster Beverage and First Hawaiian Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and First Hawaiian
The main advantage of trading using opposite Monster Beverage and First Hawaiian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, First Hawaiian 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 First Hawaiian will offset losses from the drop in First Hawaiian's long position.Monster Beverage vs. Scottish Mortgage Investment | Monster Beverage vs. PennantPark Investment | Monster Beverage vs. HK Electric Investments | Monster Beverage vs. KOBE STEEL LTD |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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