Starbucks Correlations

SBUX Stock

USD 93.04 1.35 1.47%

The current 90-days correlation between Starbucks and Nike Inc is 0.42 (i.e., Very weak diversification). The correlation of Starbucks is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.

Starbucks Correlation With Market

Poor diversification

The correlation between Starbucks and DJI is 0.71 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Starbucks and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Starbucks Stock

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Starbucks. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in inflation.

For more information on how to buy Starbucks Stock please use our How to Invest in Starbucks guide.

Moving together with Starbucks Stock

0.76	SGR	The Star Entertainment	Pair Corr
0.64	CEH	Coast Entertainment	Pair Corr
0.79	SKC	Skycity Entertainment	Pair Corr
0.64	RAVE	Rave Restaurant Group	Pair Corr
0.73	BJRI	BJs Restaurants	Pair Corr
0.88	NHYDY	Norsk Hydro ASA	Pair Corr
0.62	TNSGF	Findev Inc	Pair Corr
0.75	UGP	Ultrapar Participacoes	Pair Corr
0.61	MNMD	Mind Medicine Symbol Change	Pair Corr
0.73	LOVFF	Cannara Biotech	Pair Corr
0.8	TCX	Tucows Inc	Pair Corr
0.77	TLSNF	Telia Company	Pair Corr

Moving against Starbucks Stock

0.77	TRNR	Interactive Strength	Pair Corr
0.76	FLTR	Flutter Entertainment PLC	Pair Corr
0.72	FATBB	FAT Brands	Pair Corr
0.7	FLUT	Flutter Entertainment plc	Pair Corr
0.7	M04	MGM China Holdings	Pair Corr
0.67	NTNX	Nutanix	Pair Corr
0.65	GDHG	Golden Heaven Group	Pair Corr
0.55	ARKR	Ark Restaurants Corp	Pair Corr
0.53	ALL	Aristocrat Leisure	Pair Corr
0.45	VVA	Viva Leisure	Pair Corr
0.44	BALY	Ballys Corp	Pair Corr
0.61	ENSV	Enservco	Pair Corr

Related Correlations Analysis

	NKE	SE	ABNB	ORLY	RCL	RACE	MAR	MELI	CMG	CVNA
NKE		-0.1	0.08	0.1	0.01	-0.14	0.06	0.07	0.23	0.31	NKE
SE	-0.1		-0.46	0.05	-0.42	0.77	-0.76	0.55	-0.57	-0.76	SE
ABNB	0.08	-0.46		-0.66	0.72	-0.56	0.63	0.05	0.81	0.77	ABNB
ORLY	0.1	0.05	-0.66		-0.29	0.06	-0.14	0.1	-0.3	-0.35	ORLY
RCL	0.01	-0.42	0.72	-0.29		-0.61	0.56	0.23	0.73	0.52	RCL
RACE	-0.14	0.77	-0.56	0.06	-0.61		-0.69	0.03	-0.78	-0.75	RACE
MAR	0.06	-0.76	0.63	-0.14	0.56	-0.69		-0.3	0.72	0.74	MAR
MELI	0.07	0.55	0.05	0.1	0.23	0.03	-0.3		0.1	-0.21	MELI
CMG	0.23	-0.57	0.81	-0.3	0.73	-0.78	0.72	0.1		0.81	CMG
CVNA	0.31	-0.76	0.77	-0.35	0.52	-0.75	0.74	-0.21	0.81		CVNA
	NKE	SE	ABNB	ORLY	RCL	RACE	MAR	MELI	CMG	CVNA

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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

CMG	+ 0.81	ABNB
CVNA	+ 0.81	CMG
RACE	+ 0.77	SE
CVNA	+ 0.77	ABNB
CVNA	+ 0.74	MAR
CMG	+ 0.73	RCL

High negative correlations

CMG	- 0.78	RACE
CVNA	- 0.76	SE
MAR	- 0.76	SE
CVNA	- 0.75	RACE
MAR	- 0.69	RACE
ORLY	- 0.66	ABNB

Risk-Adjusted Indicators

There is a big difference between Starbucks Stock performing well and Starbucks 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 Starbucks' 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
NKE	1.62	(0.15)	0.00	(0.08)	0.00	0.00	3.87	(3.07)	14.43
SE	2.06	(0.52)	0.00	(0.75)	0.00	0.00	3.48	(4.28)	12.22
ABNB	1.15	0.00	0.00	0.04	1.75	(1.05)	2.66	(2.53)	8.82
ORLY	0.97	0.01	(0.01)	0.07	1.41	(0.90)	2.32	(2.35)	6.34
RCL	2.34	0.16	0.08	0.12	2.41	(2.75)	4.85	(4.25)	24.81
RACE	1.31	(0.32)	0.00	(0.25)	0.00	0.00	1.98	(2.82)	7.22
MAR	1.25	0.23	0.19	0.24	1.00	(1.47)	3.48	(1.47)	8.46
MELI	1.71	(0.14)	0.00	(0.05)	0.00	0.00	3.52	(3.55)	12.41
CMG	1.69	(0.09)	0.00	(0.02)	0.00	0.00	4.22	(2.81)	18.18
CVNA	3.08	0.19	0.04	0.15	4.66	(2.94)	6.78	(6.31)	26.23

Starbucks Corporate Management

Sandra Stark	Senior Chain	Profile
Angele RobinsonGaylord	Senior Americas	Profile
Ashish Mishra	Deputy VP	Profile
Tathagata Dasgupta	Senior Officer	Profile
Bradley Lerman	Executive Counsel	Profile

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