Correlation Between Walmart and EVS Broadcast
Can any of the company-specific risk be diversified away by investing in both Walmart and EVS Broadcast 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 Walmart and EVS Broadcast into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walmart and EVS Broadcast Equipment, you can compare the effects of market volatilities on Walmart and EVS Broadcast 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 Walmart with a short position of EVS Broadcast. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walmart and EVS Broadcast.
Diversification Opportunities for Walmart and EVS Broadcast
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Walmart and EVS is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Walmart and EVS Broadcast Equipment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EVS Broadcast Equipment and Walmart 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 Walmart are associated (or correlated) with EVS Broadcast. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EVS Broadcast Equipment has no effect on the direction of Walmart i.e., Walmart and EVS Broadcast go up and down completely randomly.
Pair Corralation between Walmart and EVS Broadcast
Assuming the 90 days trading horizon Walmart is expected to generate 10.27 times less return on investment than EVS Broadcast. But when comparing it to its historical volatility, Walmart is 29.31 times less risky than EVS Broadcast. It trades about 0.13 of its potential returns per unit of risk. EVS Broadcast Equipment is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2,938 in EVS Broadcast Equipment on October 25, 2024 and sell it today you would earn a total of 187.00 from holding EVS Broadcast Equipment or generate 6.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.2% |
| Values | Daily Returns |
Walmart vs. EVS Broadcast Equipment
Performance |
| Timeline |
| Walmart |
| EVS Broadcast Equipment |
Walmart and EVS Broadcast Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Walmart and EVS Broadcast
The main advantage of trading using opposite Walmart and EVS Broadcast positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walmart position performs unexpectedly, EVS Broadcast 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 EVS Broadcast will offset losses from the drop in EVS Broadcast's long position.| Walmart vs. Spire Healthcare Group | Walmart vs. Eco Animal Health | Walmart vs. JLEN Environmental Assets | Walmart vs. Foresight Environmental Infrastructure |
| EVS Broadcast vs. Zinc Media Group | EVS Broadcast vs. Liberty Media Corp | EVS Broadcast vs. Grand Vision Media | EVS Broadcast vs. Charter Communications Cl |
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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