Meta Financial Correlations

CASH Stock

USD 92.38 0.81 0.88%

The current 90-days correlation between Meta Financial Group and Bank of the is 0.07 (i.e., Significant diversification). The correlation of Meta Financial 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.

Meta Financial Correlation With Market

Poor diversification

The correlation between Meta Financial Group and DJI is 0.69 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Meta Financial Group and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Meta Stock

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Meta Financial Group. 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.

Moving together with Meta Stock

0.79	BIRG	Bank of Ireland	Pair Corr
0.83	AX	Axos Financial	Pair Corr
0.7	FFIN	First Financial Bank Normal Trading	Pair Corr
0.79	ASB	Associated Banc Corp	Pair Corr
0.72	CPF	Central Pacific Financial Normal Trading	Pair Corr
0.66	FSFG	First Savings Financial Earnings Call This Week	Pair Corr
0.8	HWC	Hancock Whitney Corp	Pair Corr
0.89	FVCB	FVCBankcorp	Pair Corr
0.93	MCB	Metropolitan Bank Holding	Pair Corr
0.86	MTB	MT Bank	Pair Corr
0.79	WBS	Webster Financial	Pair Corr
0.84	HFWA	Heritage Financial Normal Trading	Pair Corr
0.84	ISTR	Investar Holding Corp	Pair Corr
0.76	LCNB	LCNB	Pair Corr
0.84	OVLY	Oak Valley Bancorp	Pair Corr
0.7	VBNK	VersaBank	Pair Corr
0.8	BFL	BSP Financial Group	Pair Corr
0.88	SFBS	ServisFirst Bancshares	Pair Corr
0.8	AROW	Arrow Financial Normal Trading	Pair Corr
0.86	TCBI	Texas Capital Bancshares	Pair Corr
0.78	BPRN	Bank Of Princeton	Pair Corr
0.73	TFSL	TFS Financial	Pair Corr
0.66	BWFG	Bankwell Financial	Pair Corr
0.68	CFFI	CF Financial	Pair Corr

Moving against Meta Stock

0.7	3YB	Postal Savings Bank	Pair Corr
0.51	BBC	BNK Banking	Pair Corr
0.43	NVNIW	Nvni Group Limited	Pair Corr
0.34	BKLRF	Berkeley Energy	Pair Corr

Related Correlations Analysis

	ASRV	BYFC	HFBL	NSTS	CLST	STLE	FSEA	TECTP	OPHC	BOTJ
ASRV		0.67	0.66	0.61	0.56	0.0	0.53	-0.71	0.76	0.71	ASRV
BYFC	0.67		0.58	0.61	0.37	0.0	0.41	-0.85	0.79	0.4	BYFC
HFBL	0.66	0.58		0.83	0.84	0.0	0.77	-0.76	0.79	0.79	HFBL
NSTS	0.61	0.61	0.83		0.83	0.0	0.82	-0.84	0.7	0.75	NSTS
CLST	0.56	0.37	0.84	0.83		0.0	0.78	-0.61	0.65	0.82	CLST
STLE	0.0	0.0	0.0	0.0	0.0		0.0	0.0	0.0	0.0	STLE
FSEA	0.53	0.41	0.77	0.82	0.78	0.0		-0.6	0.68	0.8	FSEA
TECTP	-0.71	-0.85	-0.76	-0.84	-0.61	0.0	-0.6		-0.78	-0.59	TECTP
OPHC	0.76	0.79	0.79	0.7	0.65	0.0	0.68	-0.78		0.71	OPHC
BOTJ	0.71	0.4	0.79	0.75	0.82	0.0	0.8	-0.59	0.71		BOTJ
	ASRV	BYFC	HFBL	NSTS	CLST	STLE	FSEA	TECTP	OPHC	BOTJ

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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

CLST	+ 0.84	HFBL
NSTS	+ 0.83	HFBL
CLST	+ 0.83	NSTS
FSEA	+ 0.82	NSTS
BOTJ	+ 0.82	CLST
BOTJ	+ 0.8	FSEA

High negative correlations

TECTP	- 0.85	BYFC
TECTP	- 0.84	NSTS
OPHC	- 0.78	TECTP
TECTP	- 0.76	HFBL
TECTP	- 0.71	ASRV
TECTP	- 0.61	CLST

Risk-Adjusted Indicators

There is a big difference between Meta Stock performing well and Meta Financial 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 Meta Financial'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
ASRV	1.45	0.23	0.09	0.51	1.73	(1.76)	2.95	(3.16)	8.71
BYFC	2.20	0.29	0.10	0.93	2.40	(2.66)	3.99	(3.68)	25.87
HFBL	2.52	0.50	0.11	(3.27)	3.32	(2.61)	6.91	(3.81)	21.75
NSTS	0.75	0.15	0.09	(1.29)	0.69	(1.00)	1.63	(1.61)	7.95
CLST	0.72	0.21	0.14	(21.71)	0.66	(0.91)	1.90	(1.08)	7.82
STLE	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
FSEA	1.62	0.23	0.06	(1.52)	2.12	(2.13)	4.23	(3.38)	25.19
TECTP	0.79	(0.08)	0.00	(2.83)	0.00	0.00	1.91	(3.14)	9.74
OPHC	0.92	0.27	0.20	0.62	0.70	(1.10)	2.19	(1.71)	9.25
BOTJ	1.28	0.37	0.19	(5.33)	1.17	(1.52)	3.12	(2.51)	9.56

Meta Financial Corporate Management

Jennifer Warren	Senior Officer	Profile
Katie LeBrun	Co Director	Profile
Nadia JD	Executive Officer	Profile
Nadia Dombrowski	Executive Officer	Profile
Brett Pharr	CEO Director	Profile
Justin Schempp	Investor VP	Profile
Sonja Theisen	Chief Accounting Officer	Profile

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