Shift4 Payments Correlations

FOUR Stock

USD 91.82 0.21 0.23%

The current 90-days correlation between Shift4 Payments and SentinelOne is 0.63 (i.e., Poor diversification). The correlation of Shift4 Payments 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.

Shift4 Payments Correlation With Market

Good diversification

The correlation between Shift4 Payments and DJI is -0.05 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Shift4 Payments and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Shift4 Stock

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Shift4 Payments. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.

To learn how to invest in Shift4 Stock, please use our How to Invest in Shift4 Payments guide.

Moving together with Shift4 Stock

0.68	BR	Broadridge Financial	Pair Corr
0.79	BV	BrightView Holdings	Pair Corr
0.79	FA	First Advantage Corp	Pair Corr
0.8	LZ	LegalZoom	Pair Corr
0.91	DLHC	DLH Holdings Corp	Pair Corr
0.72	DRVN	Driven Brands Holdings	Pair Corr
0.88	VLTO	Veralto	Pair Corr
0.76	VRSK	Verisk Analytics Sell-off Trend	Pair Corr
0.89	VSEC	VSE Corporation	Pair Corr
0.86	EEFT	Euronet Worldwide	Pair Corr
0.68	ESGL	ESGL Holdings Limited	Pair Corr
0.65	EXLS	ExlService Holdings	Pair Corr
0.85	WLDN	Willdan Group	Pair Corr
0.81	ADP	Automatic Data Processing	Pair Corr
0.74	BTM	Bitcoin Depot Buyout Trend	Pair Corr
0.7	FORR	Forrester Research	Pair Corr
0.68	CLH	Clean Harbors	Pair Corr

Moving against Shift4 Stock

0.69	WFCF	Where Food Comes	Pair Corr
0.64	VIRC	Virco Manufacturing	Pair Corr
0.55	G	Genpact Limited	Pair Corr
0.55	MG	Mistras Group	Pair Corr
0.38	NL	NL Industries	Pair Corr
0.49	GEO	Geo Group	Pair Corr

Related Correlations Analysis

	S	CFLT	NEWR	HCP	MDB	EVCM	IIIV	CCCS	ESMT	SPSC
S		0.26	0.0	0.0	0.41	0.6	0.45	0.27	0.0	0.55	S
CFLT	0.26		0.0	0.0	0.58	0.2	-0.03	0.49	0.0	-0.06	CFLT
NEWR	0.0	0.0		0.0	0.0	0.0	0.0	0.0	0.0	0.0	NEWR
HCP	0.0	0.0	0.0		0.0	0.0	0.0	0.0	0.0	0.0	HCP
MDB	0.41	0.58	0.0	0.0		0.25	0.05	0.39	0.0	0.37	MDB
EVCM	0.6	0.2	0.0	0.0	0.25		0.39	0.2	0.0	0.49	EVCM
IIIV	0.45	-0.03	0.0	0.0	0.05	0.39		0.31	0.0	0.62	IIIV
CCCS	0.27	0.49	0.0	0.0	0.39	0.2	0.31		0.0	0.3	CCCS
ESMT	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0		0.0	ESMT
SPSC	0.55	-0.06	0.0	0.0	0.37	0.49	0.62	0.3	0.0		SPSC
	S	CFLT	NEWR	HCP	MDB	EVCM	IIIV	CCCS	ESMT	SPSC

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

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

SPSC	+ 0.62	IIIV
EVCM	+ 0.6	S
MDB	+ 0.58	CFLT
SPSC	+ 0.55	S
CCCS	+ 0.49	CFLT
SPSC	+ 0.49	EVCM

High negative correlations

SPSC	- 0.06	CFLT
IIIV	- 0.03	CFLT
SPSC	- 0.0	ESMT
ESMT	- 0.0	CCCS
ESMT	- 0.0	IIIV
ESMT	- 0.0	EVCM

Risk-Adjusted Indicators

There is a big difference between Shift4 Stock performing well and Shift4 Payments 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 Shift4 Payments' 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
S	2.23	(0.05)	0.00	0.18	0.00	0.00	5.07	(4.99)	27.25
CFLT	2.69	(0.15)	0.00	(0.06)	0.00	0.00	5.47	(4.86)	34.51
NEWR	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
HCP	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
MDB	2.32	0.15	0.04	(1.96)	2.82	(2.54)	6.91	(5.48)	23.45
EVCM	1.85	(0.01)	0.00	0.11	0.00	0.00	3.36	(3.77)	18.68
IIIV	1.86	0.04	0.01	0.08	2.40	(1.87)	4.15	(3.68)	13.95
CCCS	1.63	0.01	0.00	0.04	2.40	(1.78)	3.66	(2.72)	18.62
ESMT	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
SPSC	1.73	0.05	0.02	0.06	2.02	(1.99)	3.98	(3.61)	17.44

Shift4 Payments Corporate Management

Nate Hirshberg	Senior Marketing	Profile
Nancy CPA	Chief Officer	Profile
Tim Ernst	Senior ENGINEERING	Profile
James Whalen	Chief Officer	Profile
Steven Sommers	Chief Architect	Profile

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

2025 Macroaxis LLC