Correlation Between Monster Beverage and Alfa Financial
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and Alfa Financial 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 Alfa Financial 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 Alfa Financial Software, you can compare the effects of market volatilities on Monster Beverage and Alfa Financial 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 Alfa Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and Alfa Financial.
Diversification Opportunities for Monster Beverage and Alfa Financial
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Monster and Alfa is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage Corp and Alfa Financial Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alfa Financial Software 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 Alfa Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alfa Financial Software has no effect on the direction of Monster Beverage i.e., Monster Beverage and Alfa Financial go up and down completely randomly.
Pair Corralation between Monster Beverage and Alfa Financial
Assuming the 90 days trading horizon Monster Beverage is expected to generate 1.1 times less return on investment than Alfa Financial. But when comparing it to its historical volatility, Monster Beverage Corp is 1.34 times less risky than Alfa Financial. It trades about 0.12 of its potential returns per unit of risk. Alfa Financial Software is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 21,500 in Alfa Financial Software on August 30, 2024 and sell it today you would earn a total of 1,100 from holding Alfa Financial Software or generate 5.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Monster Beverage Corp vs. Alfa Financial Software
Performance |
Timeline |
Monster Beverage Corp |
Alfa Financial Software |
Monster Beverage and Alfa Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and Alfa Financial
The main advantage of trading using opposite Monster Beverage and Alfa Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, Alfa Financial 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 Alfa Financial will offset losses from the drop in Alfa Financial's long position.Monster Beverage vs. Schroders Investment Trusts | Monster Beverage vs. Sabien Technology Group | Monster Beverage vs. Aurora Investment Trust | Monster Beverage vs. Allianz Technology Trust |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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