Correlation Between Walmart and Aqua Power
Can any of the company-specific risk be diversified away by investing in both Walmart and Aqua Power 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 Aqua Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walmart and Aqua Power Systems, you can compare the effects of market volatilities on Walmart and Aqua Power 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 Aqua Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walmart and Aqua Power.
Diversification Opportunities for Walmart and Aqua Power
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Walmart and Aqua is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Walmart and Aqua Power Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqua Power Systems 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 Aqua Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqua Power Systems has no effect on the direction of Walmart i.e., Walmart and Aqua Power go up and down completely randomly.
Pair Corralation between Walmart and Aqua Power
Considering the 90-day investment horizon Walmart is expected to generate 0.15 times more return on investment than Aqua Power. However, Walmart is 6.62 times less risky than Aqua Power. It trades about 0.51 of its potential returns per unit of risk. Aqua Power Systems is currently generating about -0.04 per unit of risk. If you would invest 8,389 in Walmart on September 17, 2024 and sell it today you would earn a total of 1,036 from holding Walmart or generate 12.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Walmart vs. Aqua Power Systems
Performance |
Timeline |
Walmart |
Aqua Power Systems |
Walmart and Aqua Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walmart and Aqua Power
The main advantage of trading using opposite Walmart and Aqua Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walmart position performs unexpectedly, Aqua Power 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 Aqua Power will offset losses from the drop in Aqua Power's long position.The idea behind Walmart and Aqua Power Systems pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Aqua Power vs. Green Planet Bio | Aqua Power vs. Azure Holding Group | Aqua Power vs. Four Leaf Acquisition | Aqua Power vs. Opus Magnum Ameris |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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