Correlation Between Monster Beverage and HSBC Holdings
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and HSBC Holdings 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 HSBC Holdings 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 HSBC Holdings plc, you can compare the effects of market volatilities on Monster Beverage and HSBC Holdings 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 HSBC Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and HSBC Holdings.
Diversification Opportunities for Monster Beverage and HSBC Holdings
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Monster and HSBC is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage Corp and HSBC Holdings plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HSBC Holdings plc 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 HSBC Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HSBC Holdings plc has no effect on the direction of Monster Beverage i.e., Monster Beverage and HSBC Holdings go up and down completely randomly.
Pair Corralation between Monster Beverage and HSBC Holdings
Assuming the 90 days trading horizon Monster Beverage is expected to generate 5.06 times less return on investment than HSBC Holdings. But when comparing it to its historical volatility, Monster Beverage Corp is 1.63 times less risky than HSBC Holdings. It trades about 0.04 of its potential returns per unit of risk. HSBC Holdings plc is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 76,171 in HSBC Holdings plc on September 29, 2024 and sell it today you would earn a total of 17,329 from holding HSBC Holdings plc or generate 22.75% 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. HSBC Holdings plc
Performance |
Timeline |
Monster Beverage Corp |
HSBC Holdings plc |
Monster Beverage and HSBC Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and HSBC Holdings
The main advantage of trading using opposite Monster Beverage and HSBC Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, HSBC Holdings 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 HSBC Holdings will offset losses from the drop in HSBC Holdings' long position.Monster Beverage vs. Arca Continental SAB | Monster Beverage vs. Organizacin Cultiba SAB | Monster Beverage vs. Amazon Inc | Monster Beverage vs. Grupo KUO SAB |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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