Meta Financial Correlations

CASH Stock

USD 90.79 4.09 4.31%

The current 90-days correlation between Meta Financial Group and Bank of the is 0.12 (i.e., Average 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

0.87	BNPH	BNP PARIBAS ADR	Pair Corr
0.78	AON0	AOZORA BANK LTD	Pair Corr
0.79	AX	Axos Financial	Pair Corr
0.91	BY	Byline Bancorp	Pair Corr
0.77	RF	Regions Financial Downward Rally	Pair Corr
0.73	HH1	Hancock Whitney	Pair Corr
0.86	BCVN	Banque Cantonale Vaudoise	Pair Corr
0.84	LLBN	Liechtensteinische	Pair Corr
0.74	VBNK	VersaBank Earnings Call This Week	Pair Corr
0.87	SANB	SANTANDER UK 8	Pair Corr
0.81	BEN	Bendigo and Adelaide	Pair Corr
0.85	B4M1	SpareBank 1 SR	Pair Corr
0.85	UIO	ATLANTIC UNION BANKSDL	Pair Corr
0.68	WBCPK	Westpac Banking	Pair Corr
0.79	FRYA	Swedbank AB	Pair Corr
0.89	VNB	Valley National Bancorp	Pair Corr
0.85	BRE	Banco Bradesco SA	Pair Corr
0.87	EBMT	Eagle Bancorp Montana	Pair Corr
0.78	ECBK	ECB Bancorp	Pair Corr
0.88	BNP	BNP Paribas SA	Pair Corr
0.88	EFSC	Enterprise Financial	Pair Corr
0.92	EGBN	Eagle Bancorp	Pair Corr
0.84	HSBK	Halyk Bank	Pair Corr
0.94	BCGE	Banque Cantonale	Pair Corr
0.91	WABC	Westamerica Bancorporation	Pair Corr
0.94	WASH	Washington Trust Bancorp	Pair Corr

Moving against Meta Stock

0.53

3YB

Postal Savings Bank

Pair Corr

Related Correlations Analysis

	ASRV	BYFC	HFBL	NSTS	CLST	STLE	FSEA	TECTP	OPHC	BOTJ
ASRV		0.64	0.79	0.35	0.8	0.0	0.56	-0.65	0.91	0.92	ASRV
BYFC	0.64		0.75	0.69	0.6	0.0	0.55	-0.95	0.76	0.58	BYFC
HFBL	0.79	0.75		0.57	0.79	0.0	0.72	-0.75	0.86	0.79	HFBL
NSTS	0.35	0.69	0.57		0.59	0.0	0.62	-0.77	0.45	0.38	NSTS
CLST	0.8	0.6	0.79	0.59		0.0	0.67	-0.68	0.83	0.8	CLST
STLE	0.0	0.0	0.0	0.0	0.0		0.0	0.0	0.0	0.0	STLE
FSEA	0.56	0.55	0.72	0.62	0.67	0.0		-0.59	0.67	0.67	FSEA
TECTP	-0.65	-0.95	-0.75	-0.77	-0.68	0.0	-0.59		-0.76	-0.6	TECTP
OPHC	0.91	0.76	0.86	0.45	0.83	0.0	0.67	-0.76		0.88	OPHC
BOTJ	0.92	0.58	0.79	0.38	0.8	0.0	0.67	-0.6	0.88		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

BOTJ	+ 0.92	ASRV
OPHC	+ 0.91	ASRV
BOTJ	+ 0.88	OPHC
OPHC	+ 0.86	HFBL
OPHC	+ 0.83	CLST
CLST	+ 0.8	ASRV

High negative correlations

TECTP	- 0.95	BYFC
TECTP	- 0.77	NSTS
OPHC	- 0.76	TECTP
TECTP	- 0.75	HFBL
TECTP	- 0.68	CLST
TECTP	- 0.65	ASRV

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	1.85	0.26	0.10	0.32	2.00	(2.39)	3.76	(3.40)	14.58
BYFC	2.04	0.37	0.15	0.59	1.93	(2.59)	3.99	(3.15)	26.28
HFBL	2.52	0.46	0.10	1.51	3.43	(2.70)	6.91	(3.81)	21.75
NSTS	0.86	0.14	0.06	2.32	0.85	(1.07)	2.00	(1.78)	8.07
CLST	0.57	0.13	0.06	1.06	0.52	(0.74)	1.61	(1.27)	5.63
STLE	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
FSEA	1.63	0.21	0.04	(0.40)	2.16	(2.18)	4.23	(3.38)	25.19
TECTP	0.43	(0.13)	0.00	(0.55)	0.00	0.00	0.84	(1.56)	5.29
OPHC	1.11	0.33	0.26	0.59	0.66	(1.39)	3.10	(1.50)	10.28
BOTJ	1.23	0.24	0.08	(0.47)	1.36	(1.41)	2.76	(2.53)	9.55

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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