Correlation Between Walmart and Pettenati
Can any of the company-specific risk be diversified away by investing in both Walmart and Pettenati 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 Pettenati into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walmart and Pettenati SA Industria, you can compare the effects of market volatilities on Walmart and Pettenati 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 Pettenati. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walmart and Pettenati.
Diversification Opportunities for Walmart and Pettenati
Excellent diversification
The 3 months correlation between Walmart and Pettenati is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Walmart and Pettenati SA Industria in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pettenati SA Industria 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 Pettenati. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pettenati SA Industria has no effect on the direction of Walmart i.e., Walmart and Pettenati go up and down completely randomly.
Pair Corralation between Walmart and Pettenati
Assuming the 90 days trading horizon Walmart is expected to generate 0.65 times more return on investment than Pettenati. However, Walmart is 1.54 times less risky than Pettenati. It trades about 0.27 of its potential returns per unit of risk. Pettenati SA Industria is currently generating about -0.05 per unit of risk. If you would invest 2,790 in Walmart on October 14, 2024 and sell it today you would earn a total of 761.00 from holding Walmart or generate 27.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Walmart vs. Pettenati SA Industria
Performance |
Timeline |
Walmart |
Pettenati SA Industria |
Walmart and Pettenati Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walmart and Pettenati
The main advantage of trading using opposite Walmart and Pettenati positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walmart position performs unexpectedly, Pettenati 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 Pettenati will offset losses from the drop in Pettenati's long position.The idea behind Walmart and Pettenati SA Industria 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.Pettenati vs. Inepar SA Indstria | Pettenati vs. Lupatech SA | Pettenati vs. Paranapanema SA | Pettenati vs. Rossi Residencial SA |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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