SouthState Correlations

SSB Stock

USD 91.50 0.64 0.69%

The current 90-days correlation between SouthState and Comerica Incorporated is -0.07 (i.e., Good diversification). The correlation of SouthState 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.

SouthState Correlation With Market

Very weak diversification

The correlation between SouthState and DJI is 0.54 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SouthState and DJI in the same portfolio, assuming nothing else is changed.

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

For information on how to trade SouthState Stock refer to our How to Trade SouthState Stock guide.

Moving together with SouthState Stock

0.75	FBNC	First Bancorp	Pair Corr
0.82	FFBC	First Financial Bancorp Normal Trading	Pair Corr
0.89	AUB	Atlantic Union Bankshares	Pair Corr
0.64	LDI	Loandepot	Pair Corr
0.92	NIC	Nicolet Bankshares	Pair Corr
0.92	OFG	OFG Bancorp	Pair Corr
0.97	GBCI	Glacier Bancorp	Pair Corr
0.97	INBK	First Internet Bancorp	Pair Corr
0.83	MTRO	Metro Bank PLC	Pair Corr
0.66	NBTB	NBT Bancorp	Pair Corr
0.78	SACH	Sachem Capital Corp	Pair Corr
0.83	SFBC	Sound Financial Bancorp	Pair Corr
0.79	BANR	Banner	Pair Corr
0.82	BYFC	Broadway Financial	Pair Corr
0.81	TRMK	Trustmark	Pair Corr
0.94	CARE	Carter Bank	Pair Corr

Moving against SouthState Stock

0.95	SBID	State Bank	Pair Corr
0.8	601187	Xiamen Bank	Pair Corr
0.77	601665	Qilu Bank	Pair Corr
0.75	HFBL	Home Federal Bancorp Normal Trading	Pair Corr
0.67	BIRG	Bank of Ireland	Pair Corr
0.64	WBCPM	Westpac Banking Earnings Call This Week	Pair Corr
0.58	002966	Bank of Suzhou	Pair Corr
0.43	BOQPG	Bank of Queensland	Pair Corr
0.36	MBLPD	Macquarie Bank	Pair Corr
0.82	SHG	Shinhan Financial	Pair Corr
0.75	PBCRY	Bank Central Asia	Pair Corr
0.6	PPERY	Bank Mandiri Persero	Pair Corr
0.57	PBCRF	PT Bank Central	Pair Corr
0.53	BKRKF	PT Bank Rakyat	Pair Corr
0.48	TFSL	TFS Financial	Pair Corr
0.39	BVFL	BV Financial, Common	Pair Corr
0.36	KB	KB Financial Group	Pair Corr

Related Correlations Analysis

	CMA	WBS	FHN	UMBF	ONB	WTFC	WAL	CFR	CFG
CMA		-0.27	-0.23	-0.59	-0.4	-0.22	-0.62	-0.36	0.17	CMA
WBS	-0.27		0.84	0.78	0.85	0.79	0.83	0.68	0.56	WBS
FHN	-0.23	0.84		0.74	0.78	0.62	0.74	0.67	0.49	FHN
UMBF	-0.59	0.78	0.74		0.76	0.51	0.79	0.73	0.13	UMBF
ONB	-0.4	0.85	0.78	0.76		0.88	0.92	0.88	0.64	ONB
WTFC	-0.22	0.79	0.62	0.51	0.88		0.81	0.74	0.73	WTFC
WAL	-0.62	0.83	0.74	0.79	0.92	0.81		0.8	0.53	WAL
CFR	-0.36	0.68	0.67	0.73	0.88	0.74	0.8		0.48	CFR
CFG	0.17	0.56	0.49	0.13	0.64	0.73	0.53	0.48		CFG
	CMA	WBS	FHN	UMBF	ONB	WTFC	WAL	CFR	CFG

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

WAL	+ 0.92	ONB
WTFC	+ 0.88	ONB
CFR	+ 0.88	ONB
ONB	+ 0.85	WBS
FHN	+ 0.84	WBS
WAL	+ 0.83	WBS

High negative correlations

WAL	- 0.62	CMA
UMBF	- 0.59	CMA
ONB	- 0.4	CMA
CFR	- 0.36	CMA
WBS	- 0.27	CMA
FHN	- 0.23	CMA

Risk-Adjusted Indicators

There is a big difference between SouthState Stock performing well and SouthState 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 SouthState'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
CMA	1.24	0.30	0.12	(4.84)	1.69	(1.37)	2.60	(2.46)	19.73
WBS	1.32	0.01	(0.03)	(0.13)	1.99	(1.38)	3.07	(2.15)	11.02
FHN	1.30	0.02	(0.02)	(0.25)	2.38	(1.26)	2.52	(3.79)	11.97
UMBF	1.23	(0.13)	0.00	(0.24)	0.00	0.00	3.02	(3.21)	10.61
ONB	1.43	(0.10)	(0.03)	0.00	2.18	(1.48)	2.93	(2.71)	11.15
WTFC	1.29	(0.10)	0.00	(0.01)	0.00	0.00	2.54	(2.77)	8.64
WAL	1.74	(0.22)	0.00	(0.04)	0.00	0.00	4.04	(4.24)	16.04
CFR	1.11	(0.09)	0.00	(0.01)	0.00	0.00	2.12	(1.93)	7.78
CFG	1.15	0.03	0.03	0.09	1.78	(1.16)	2.63	(2.11)	9.49

SouthState Corporate Management

Stephen Young	Senior Officer	Profile
Sara Arana	Senior Officer	Profile
Jonathan Kivett	Chief Credit Officer	Profile
John Corbett	CEO Director	Profile

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