Correlation Between Monster Beverage and Cleveland Cliffs
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and Cleveland Cliffs 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 Cleveland Cliffs 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 Cleveland Cliffs, you can compare the effects of market volatilities on Monster Beverage and Cleveland Cliffs 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 Cleveland Cliffs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and Cleveland Cliffs.
Diversification Opportunities for Monster Beverage and Cleveland Cliffs
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Monster and Cleveland is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage Corp and Cleveland Cliffs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cleveland Cliffs 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 Cleveland Cliffs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cleveland Cliffs has no effect on the direction of Monster Beverage i.e., Monster Beverage and Cleveland Cliffs go up and down completely randomly.
Pair Corralation between Monster Beverage and Cleveland Cliffs
Assuming the 90 days trading horizon Monster Beverage is expected to generate 1.06 times less return on investment than Cleveland Cliffs. But when comparing it to its historical volatility, Monster Beverage Corp is 2.59 times less risky than Cleveland Cliffs. It trades about 0.15 of its potential returns per unit of risk. Cleveland Cliffs is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 23,310 in Cleveland Cliffs on September 5, 2024 and sell it today you would earn a total of 2,790 from holding Cleveland Cliffs or generate 11.97% 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. Cleveland Cliffs
Performance |
Timeline |
Monster Beverage Corp |
Cleveland Cliffs |
Monster Beverage and Cleveland Cliffs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and Cleveland Cliffs
The main advantage of trading using opposite Monster Beverage and Cleveland Cliffs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, Cleveland Cliffs 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 Cleveland Cliffs will offset losses from the drop in Cleveland Cliffs' long position.Monster Beverage vs. The Select Sector | Monster Beverage vs. Promotora y Operadora | Monster Beverage vs. SPDR Series Trust | Monster Beverage vs. Vanguard World |
Cleveland Cliffs vs. Ameriprise Financial | Cleveland Cliffs vs. New Oriental Education | Cleveland Cliffs vs. FIBRA Storage | Cleveland Cliffs vs. Capital One Financial |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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