Correlation Between Visa and AutoZone
Can any of the company-specific risk be diversified away by investing in both Visa and AutoZone 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 Visa and AutoZone into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Visa Class A and AutoZone, you can compare the effects of market volatilities on Visa and AutoZone 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 Visa with a short position of AutoZone. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and AutoZone.
Diversification Opportunities for Visa and AutoZone
Poor diversification
The 3 months correlation between Visa and AutoZone is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and AutoZone in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AutoZone and Visa 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 Visa Class A are associated (or correlated) with AutoZone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AutoZone has no effect on the direction of Visa i.e., Visa and AutoZone go up and down completely randomly.
Pair Corralation between Visa and AutoZone
Taking into account the 90-day investment horizon Visa is expected to generate 1.45 times less return on investment than AutoZone. But when comparing it to its historical volatility, Visa Class A is 1.13 times less risky than AutoZone. It trades about 0.12 of its potential returns per unit of risk. AutoZone is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 269,500 in AutoZone on September 23, 2024 and sell it today you would earn a total of 42,200 from holding AutoZone or generate 15.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.48% |
Values | Daily Returns |
Visa Class A vs. AutoZone
Performance |
Timeline |
Visa Class A |
AutoZone |
Visa and AutoZone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and AutoZone
The main advantage of trading using opposite Visa and AutoZone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, AutoZone 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 AutoZone will offset losses from the drop in AutoZone's long position.The idea behind Visa Class A and AutoZone 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.AutoZone vs. MercadoLibre | AutoZone vs. OReilly Automotive | AutoZone vs. Tractor Supply | AutoZone vs. Ulta Beauty |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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