Correlation Between JB Hunt and Monster Beverage
Can any of the company-specific risk be diversified away by investing in both JB Hunt 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 JB Hunt and Monster Beverage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JB Hunt Transport and Monster Beverage, you can compare the effects of market volatilities on JB Hunt 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 JB Hunt with a short position of Monster Beverage. Check out your portfolio center. Please also check ongoing floating volatility patterns of JB Hunt and Monster Beverage.
Diversification Opportunities for JB Hunt and Monster Beverage
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between J1BH34 and Monster is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding JB Hunt Transport and Monster Beverage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Monster Beverage and JB Hunt 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 JB Hunt Transport 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 has no effect on the direction of JB Hunt i.e., JB Hunt and Monster Beverage go up and down completely randomly.
Pair Corralation between JB Hunt and Monster Beverage
Assuming the 90 days trading horizon JB Hunt is expected to generate 32.77 times less return on investment than Monster Beverage. But when comparing it to its historical volatility, JB Hunt Transport is 61.69 times less risky than Monster Beverage. It trades about 0.16 of its potential returns per unit of risk. Monster Beverage is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 3,880 in Monster Beverage on October 6, 2024 and sell it today you would earn a total of 209.00 from holding Monster Beverage or generate 5.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
JB Hunt Transport vs. Monster Beverage
Performance |
Timeline |
JB Hunt Transport |
Monster Beverage |
JB Hunt and Monster Beverage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JB Hunt and Monster Beverage
The main advantage of trading using opposite JB Hunt and Monster Beverage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JB Hunt 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.JB Hunt vs. Taiwan Semiconductor Manufacturing | JB Hunt vs. Apple Inc | JB Hunt vs. Alibaba Group Holding | JB Hunt vs. Microsoft |
Monster Beverage vs. MP Materials Corp | Monster Beverage vs. Darden Restaurants, | Monster Beverage vs. Teladoc Health | Monster Beverage vs. HCA Healthcare, |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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