AutoZone Correlations

AZO Stock  USD 3,784  44.85  1.17%   
The current 90-days correlation between AutoZone and OReilly Automotive is 0.83 (i.e., Very poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AutoZone moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AutoZone moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

AutoZone Correlation With Market

Very good diversification

The correlation between AutoZone and DJI is -0.27 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding AutoZone and DJI in the same portfolio, assuming nothing else is changed.
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in AutoZone. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
To learn how to invest in AutoZone Stock, please use our How to Invest in AutoZone guide.

Moving together with AutoZone Stock

  0.78AAP Advance Auto PartsPairCorr
  0.65APE Eagers AutomotivePairCorr

Moving against AutoZone Stock

  0.65LAD Lithia MotorsPairCorr
  0.57IXD1 Industria de DisenoPairCorr
  0.54ABG Asbury AutomotivePairCorr
  0.41SA8A Sonic AutomotivePairCorr
  0.34GPI Group 1 AutomotivePairCorr
  0.65LMO Lithia MotorsPairCorr
  0.63CK3 Cars Inc Earnings Call TomorrowPairCorr
  0.45SAH Sonic AutomotivePairCorr
  0.36VTU Vertu Motors PlcPairCorr
  0.32BHJC Bilia ABPairCorr
  0.68XKR KAR Auction ServicesPairCorr
  0.58AWG Asbury AutomotivePairCorr
  0.54AG1 AUTO1 Group SEPairCorr
  0.510C6 CarGurusPairCorr
  0.44MUSA Murphy USAPairCorr
  0.44HA5 China Harmony AutoPairCorr

Related Correlations Analysis


Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

MARHLT
ROSTHLT
MARROST
FROST
FHLT
TCOMCPNG
  

High negative correlations

CPNGHLT
MARCPNG
CPNGROST
CPNGF
TCOMHLT
TCOMMAR

Risk-Adjusted Indicators

There is a big difference between AutoZone Stock performing well and AutoZone Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze AutoZone's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
ORLY  1.04 (0.09) 0.00 (0.20) 0.00 
 1.98 
 7.92 
GM  1.44  0.19  0.10  0.27  1.46 
 3.93 
 12.98 
HLT  1.06  0.15  0.12  0.25  0.94 
 2.63 
 7.52 
ROST  0.81  0.29  0.28  0.61  0.41 
 1.97 
 11.17 
F  1.28  0.06  0.05  0.15  1.17 
 3.61 
 7.50 
RACE  1.50 (0.16) 0.00 (0.10) 0.00 
 2.73 
 11.16 
CPNG  2.10 (0.69) 0.00 (0.40) 0.00 
 3.56 
 20.12 
CPRT  1.11 (0.30) 0.00 (0.31) 0.00 
 2.10 
 10.21 
MAR  1.31  0.19  0.16  0.25  1.03 
 3.31 
 10.21 
TCOM  1.71 (0.53) 0.00 (0.33) 0.00 
 3.10 
 21.41