Correlation Between AutoZone and Advance Auto
Can any of the company-specific risk be diversified away by investing in both AutoZone and Advance Auto 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 AutoZone and Advance Auto into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AutoZone and Advance Auto Parts, you can compare the effects of market volatilities on AutoZone and Advance Auto 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 AutoZone with a short position of Advance Auto. Check out your portfolio center. Please also check ongoing floating volatility patterns of AutoZone and Advance Auto.
Diversification Opportunities for AutoZone and Advance Auto
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between AutoZone and Advance is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding AutoZone and Advance Auto Parts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Advance Auto Parts and AutoZone 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 AutoZone are associated (or correlated) with Advance Auto. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Advance Auto Parts has no effect on the direction of AutoZone i.e., AutoZone and Advance Auto go up and down completely randomly.
Pair Corralation between AutoZone and Advance Auto
Considering the 90-day investment horizon AutoZone is expected to generate 5.98 times less return on investment than Advance Auto. But when comparing it to its historical volatility, AutoZone is 2.21 times less risky than Advance Auto. It trades about 0.05 of its potential returns per unit of risk. Advance Auto Parts is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 3,732 in Advance Auto Parts on October 31, 2024 and sell it today you would earn a total of 1,142 from holding Advance Auto Parts or generate 30.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
AutoZone vs. Advance Auto Parts
Performance |
| Timeline |
| AutoZone |
| Advance Auto Parts |
AutoZone and Advance Auto Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with AutoZone and Advance Auto
The main advantage of trading using opposite AutoZone and Advance Auto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AutoZone position performs unexpectedly, Advance Auto 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 Advance Auto will offset losses from the drop in Advance Auto's long position.| AutoZone vs. Advance Auto Parts | AutoZone vs. Tractor Supply | AutoZone vs. Genuine Parts Co | AutoZone vs. Five Below |
| Advance Auto vs. AutoZone | Advance Auto vs. Tractor Supply | Advance Auto vs. Genuine Parts Co | Advance Auto vs. Five Below |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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