Financial Institutions Correlations

FISI Stock

USD 30.60 0.01 0.03%

The current 90-days correlation between Financial Institutions and Dream Industrial Real is 0.29 (i.e., Modest diversification). The correlation of Financial Institutions 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.

Financial Institutions Correlation With Market

Very weak diversification

The correlation between Financial Institutions 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 Financial Institutions and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Financial Stock

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

For more detail on how to invest in Financial Stock please use our How to Invest in Financial Institutions guide.

Moving together with Financial Stock

0.81	BIRG	Bank of Ireland	Pair Corr
0.87	TMB	Tamilnad Mercantile Bank	Pair Corr
0.82	DCBBANK	DCB Bank Limited	Pair Corr
0.84	FNWB	First Northwest Bancorp	Pair Corr
0.63	WBCPM	Westpac Banking	Pair Corr
0.79	AUBANK	AU Small Finance	Pair Corr
0.75	SBID	State Bank	Pair Corr
0.73	601187	Xiamen Bank	Pair Corr
0.64	RBLBANK	RBL Bank Limited	Pair Corr
0.68	PNB	Punjab National Bank	Pair Corr

Moving against Financial Stock

0.8	SSB	SouthState	Pair Corr
0.75	INBK	First Internet Bancorp	Pair Corr
0.64	AUB	Atlantic Union Bankshares	Pair Corr
0.63	EBMT	Eagle Bancorp Montana	Pair Corr
0.61	EFSC	Enterprise Financial	Pair Corr
0.61	MTRO	Metro Bank PLC	Pair Corr
0.52	ICICIBANK	ICICI Bank Limited	Pair Corr
0.41	PNC	PNC Financial Services	Pair Corr
0.33	601658	Postal Savings Bank	Pair Corr
0.31	FHN	First Horizon National	Pair Corr
0.79	BYFC	Broadway Financial	Pair Corr
0.76	CARE	Carter Bank Normal Trading	Pair Corr
0.62	SACH	Sachem Capital Corp	Pair Corr
0.59	BANDHANBNK	Bandhan Bank Limited	Pair Corr
0.59	SFNC	Simmons First National	Pair Corr
0.56	SFBC	Sound Financial Bancorp	Pair Corr
0.41	OPHC	OptimumBank Holdings,	Pair Corr

Related Correlations Analysis

	AMKR	DREUF	ASUR	CUPUF	CSIOY	ZBAO	BCTCF	NBBTF
AMKR		-0.23	0.17	-0.03	-0.61	-0.53	-0.66	0.37	AMKR
DREUF	-0.23		-0.28	0.11	0.57	0.41	0.37	0.05	DREUF
ASUR	0.17	-0.28		-0.13	-0.07	-0.01	-0.24	-0.13	ASUR
CUPUF	-0.03	0.11	-0.13		0.06	0.18	0.07	0.21	CUPUF
CSIOY	-0.61	0.57	-0.07	0.06		0.63	0.68	-0.19	CSIOY
ZBAO	-0.53	0.41	-0.01	0.18	0.63		0.44	-0.09	ZBAO
BCTCF	-0.66	0.37	-0.24	0.07	0.68	0.44		-0.29	BCTCF
NBBTF	0.37	0.05	-0.13	0.21	-0.19	-0.09	-0.29		NBBTF
	AMKR	DREUF	ASUR	CUPUF	CSIOY	ZBAO	BCTCF	NBBTF

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

BCTCF	+ 0.68	CSIOY
ZBAO	+ 0.63	CSIOY
CSIOY	+ 0.57	DREUF
BCTCF	+ 0.44	ZBAO
ZBAO	+ 0.41	DREUF
NBBTF	+ 0.37	AMKR

High negative correlations

BCTCF	- 0.66	AMKR
CSIOY	- 0.61	AMKR
ZBAO	- 0.53	AMKR
NBBTF	- 0.29	BCTCF
ASUR	- 0.28	DREUF
BCTCF	- 0.24	ASUR

Risk-Adjusted Indicators

There is a big difference between Financial Stock performing well and Financial Institutions 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 Financial Institutions' 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
AMKR	2.62	0.63	0.18	(1.73)	2.63	(2.96)	6.16	(4.29)	24.53
DREUF	0.85	(0.01)	(0.03)	0.05	1.00	(0.95)	1.53	(1.89)	7.11
ASUR	1.75	(0.02)	0.00	0.12	0.00	0.00	3.59	(3.51)	13.40
CUPUF	0.65	0.06	(0.01)	(0.10)	0.90	(1.83)	2.74	(2.22)	6.96
CSIOY	1.66	(0.01)	(0.02)	0.04	1.88	(1.91)	3.56	(3.45)	10.86
ZBAO	2.58	(0.01)	(0.01)	0.74	4.25	(2.94)	5.26	(7.34)	21.31
BCTCF	0.18	(0.06)	0.00	0.43	0.00	0.00	0.00	0.00	6.10
NBBTF	1.05	0.17	0.00	0.37	0.00	0.00	0.00	0.00	28.32

Financial Institutions Corporate Management

Sandra Byers	Controller VP	Profile
William II	CFO VP	Profile
Reid Whiting	Chief Officer	Profile
Eric Marks	Senior Officer	Profile
Gary Pacos	Senior Officer	Profile
Shelly Doran	IR Contact Officer	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