AutoZone Correlations

AZO Stock

USD 3,459 0.00 0.00%

The current 90-days correlation between AutoZone and OReilly Automotive is 0.16 (i.e., Average 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

Good diversification

The correlation between AutoZone and DJI is -0.13 (i.e., 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.

Build AI portfolio with AutoZone Stock

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

0.92	ORLY	OReilly Automotive	Pair Corr
0.63	ATMV	AlphaVest Acquisition Symbol Change	Pair Corr

Moving against AutoZone Stock

0.79	MFG	Mizuho Financial	Pair Corr
0.78	SMFG	Sumitomo Mitsui Financial Normal Trading	Pair Corr
0.73	ALRS	Alerus Financial Corp	Pair Corr
0.71	SMFNF	Sumitomo Mitsui Financial	Pair Corr
0.68	MZHOF	Mizuho Financial Normal Trading	Pair Corr
0.61	MUFG	Mitsubishi UFJ Financial Normal Trading	Pair Corr
0.58	MBFJF	Mitsubishi UFJ Financial Normal Trading	Pair Corr
0.57	UXIN	Uxin	Pair Corr
0.49	KB	KB Financial Group	Pair Corr
0.49	MNMD	Mind Medicine	Pair Corr
0.42	SHG	Shinhan Financial	Pair Corr
0.82	SMEGF	Siemens Energy AG	Pair Corr
0.8	JPM	JPMorgan Chase	Pair Corr
0.8	NMIH	NMI Holdings	Pair Corr
0.74	BEN	Franklin Resources	Pair Corr
0.68	NOMNF	CANEX Metals	Pair Corr
0.6	JSPCF	JSP Corporation	Pair Corr
0.57	WEICF	Weichai Power	Pair Corr
0.51	GDS	GDS Holdings Tech Boost	Pair Corr
0.49	EGBN	Eagle Bancorp Earnings Call This Week	Pair Corr
0.47	JACK	Jack In	Pair Corr
0.85	RY	Royal Bank	Pair Corr
0.8	FYBR	Frontier Communications	Pair Corr
0.77	SCGLF	Socit Gnrale Socit	Pair Corr
0.72	CNI	Canadian National Railway	Pair Corr
0.7	JOE	St Joe Company	Pair Corr
0.7	BHKLY	BOC Hong Kong	Pair Corr
0.7	ACLLF	Atco	Pair Corr
0.66	CRS	Carpenter Technology	Pair Corr

Related Correlations Analysis

	ORLY	GM	HLT	ROST	F	RACE	CPNG	CPRT	MAR	TCOM
ORLY		-0.77	-0.52	-0.6	-0.64	0.49	0.62	0.5	-0.54	-0.4	ORLY
GM	-0.77		0.84	0.91	0.86	-0.61	-0.89	-0.82	0.88	0.38	GM
HLT	-0.52	0.84		0.89	0.69	-0.67	-0.91	-0.7	0.96	0.37	HLT
ROST	-0.6	0.91	0.89		0.75	-0.77	-0.91	-0.84	0.92	0.28	ROST
F	-0.64	0.86	0.69	0.75		-0.36	-0.72	-0.71	0.76	0.39	F
RACE	0.49	-0.61	-0.67	-0.77	-0.36		0.72	0.56	-0.61	0.0	RACE
CPNG	0.62	-0.89	-0.91	-0.91	-0.72	0.72		0.81	-0.94	-0.3	CPNG
CPRT	0.5	-0.82	-0.7	-0.84	-0.71	0.56	0.81		-0.84	-0.16	CPRT
MAR	-0.54	0.88	0.96	0.92	0.76	-0.61	-0.94	-0.84		0.36	MAR
TCOM	-0.4	0.38	0.37	0.28	0.39	0.0	-0.3	-0.16	0.36		TCOM
	ORLY	GM	HLT	ROST	F	RACE	CPNG	CPRT	MAR	TCOM

Please upgrade your account to get full access to Macroaxis premium features

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

MAR	+ 0.96	HLT
MAR	+ 0.92	ROST
ROST	+ 0.91	GM
ROST	+ 0.89	HLT
MAR	+ 0.88	GM
F	+ 0.86	GM

High negative correlations

MAR	- 0.94	CPNG
CPNG	- 0.91	ROST
CPNG	- 0.91	HLT
CPNG	- 0.89	GM
MAR	- 0.84	CPRT
CPRT	- 0.84	ROST

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 Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
ORLY	0.94	(0.15)	0.00	(0.37)	0.00	0.00	2.20	(2.35)	6.34
GM	1.43	0.47	0.35	0.49	0.80	(1.63)	3.93	(1.97)	18.58
HLT	1.14	0.15	0.09	0.32	1.02	(1.34)	3.03	(2.42)	6.36
ROST	0.82	0.29	0.41	0.41	0.00	(1.02)	2.54	(1.02)	9.43
F	1.41	0.31	0.14	1.78	1.26	(1.68)	3.38	(2.35)	16.30
RACE	1.34	(0.26)	0.00	(0.21)	0.00	0.00	2.01	(2.95)	7.22
CPNG	1.54	(0.69)	0.00	(0.71)	0.00	0.00	2.25	(5.07)	9.97
CPRT	0.95	(0.19)	0.00	(0.34)	0.00	0.00	2.02	(3.52)	6.88
MAR	1.23	0.21	0.17	0.33	0.93	(1.49)	3.48	(1.63)	8.24
TCOM	1.41	(0.24)	0.00	(0.15)	0.00	0.00	2.41	(3.34)	8.91

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2026 Macroaxis LLC