Correlation Between Wyndham Hotels and Monster Beverage
Can any of the company-specific risk be diversified away by investing in both Wyndham Hotels and Monster Beverage 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 Wyndham Hotels and Monster Beverage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wyndham Hotels Resorts and Monster Beverage Corp, you can compare the effects of market volatilities on Wyndham Hotels and Monster Beverage 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 Wyndham Hotels with a short position of Monster Beverage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wyndham Hotels and Monster Beverage.
Diversification Opportunities for Wyndham Hotels and Monster Beverage
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Wyndham and Monster is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Wyndham Hotels Resorts and Monster Beverage Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Monster Beverage Corp and Wyndham Hotels 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 Wyndham Hotels Resorts are associated (or correlated) with Monster Beverage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Monster Beverage Corp has no effect on the direction of Wyndham Hotels i.e., Wyndham Hotels and Monster Beverage go up and down completely randomly.
Pair Corralation between Wyndham Hotels and Monster Beverage
Assuming the 90 days trading horizon Wyndham Hotels Resorts is expected to generate 1.02 times more return on investment than Monster Beverage. However, Wyndham Hotels is 1.02 times more volatile than Monster Beverage Corp. It trades about 0.09 of its potential returns per unit of risk. Monster Beverage Corp is currently generating about -0.01 per unit of risk. If you would invest 7,374 in Wyndham Hotels Resorts on November 28, 2024 and sell it today you would earn a total of 3,223 from holding Wyndham Hotels Resorts or generate 43.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 90.75% |
Values | Daily Returns |
Wyndham Hotels Resorts vs. Monster Beverage Corp
Performance |
Timeline |
Wyndham Hotels Resorts |
Monster Beverage Corp |
Wyndham Hotels and Monster Beverage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wyndham Hotels and Monster Beverage
The main advantage of trading using opposite Wyndham Hotels and Monster Beverage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wyndham Hotels position performs unexpectedly, Monster Beverage 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 Monster Beverage will offset losses from the drop in Monster Beverage's long position.Wyndham Hotels vs. JB Hunt Transport | Wyndham Hotels vs. Hilton Food Group | Wyndham Hotels vs. Molson Coors Beverage | Wyndham Hotels vs. Clean Power Hydrogen |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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