Correlation Between Monster Beverage and Hochschild Mining
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and Hochschild Mining 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 Hochschild Mining 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 Hochschild Mining plc, you can compare the effects of market volatilities on Monster Beverage and Hochschild Mining 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 Hochschild Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and Hochschild Mining.
Diversification Opportunities for Monster Beverage and Hochschild Mining
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Monster and Hochschild is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage Corp and Hochschild Mining plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hochschild Mining 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 Hochschild Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hochschild Mining plc has no effect on the direction of Monster Beverage i.e., Monster Beverage and Hochschild Mining go up and down completely randomly.
Pair Corralation between Monster Beverage and Hochschild Mining
Assuming the 90 days trading horizon Monster Beverage is expected to generate 7.19 times less return on investment than Hochschild Mining. But when comparing it to its historical volatility, Monster Beverage Corp is 2.04 times less risky than Hochschild Mining. It trades about 0.04 of its potential returns per unit of risk. Hochschild Mining plc is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 18,240 in Hochschild Mining plc on September 13, 2024 and sell it today you would earn a total of 5,660 from holding Hochschild Mining plc or generate 31.03% 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. Hochschild Mining plc
Performance |
Timeline |
Monster Beverage Corp |
Hochschild Mining plc |
Monster Beverage and Hochschild Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and Hochschild Mining
The main advantage of trading using opposite Monster Beverage and Hochschild Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, Hochschild Mining 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 Hochschild Mining will offset losses from the drop in Hochschild Mining's long position.Monster Beverage vs. Samsung Electronics Co | Monster Beverage vs. Samsung Electronics Co | Monster Beverage vs. Hyundai Motor | Monster Beverage vs. Reliance Industries 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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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