MF Bancorp Correlations

MFBP Stock

USD 20.57 0.84 4.26%

The correlation of MF Bancorp 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.

MF Bancorp Correlation With Market

Poor diversification

The correlation between MF Bancorp and DJI is 0.68 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MF Bancorp and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to MF Bancorp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MF Bancorp when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back MF Bancorp - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling MF Bancorp to buy it.

Moving together with MFBP Pink Sheet

0.67	BBDO	Banco Bradesco SA	Pair Corr
0.66	DUK-PA	Duke Energy	Pair Corr
0.72	JOE	St Joe Company	Pair Corr
0.79	TSM	Taiwan Semiconductor Aggressive Push	Pair Corr
0.77	SLSR	Solaris Resources	Pair Corr
0.75	TATT	Tat Techno	Pair Corr
0.67	USPH	US Physicalrapy	Pair Corr
0.61	GS	Goldman Sachs Group	Pair Corr
0.62	LAND	Gladstone Land	Pair Corr
0.7	MEEEF	Metal Energy Corp	Pair Corr
0.73	BFS	Saul Centers	Pair Corr
0.61	NNBR	NN Inc	Pair Corr
0.71	MXCHY	Orbia Advance Corp	Pair Corr
0.61	INTC	Intel	Pair Corr
0.72	FRSB	First Resource Bank	Pair Corr
0.7	AES	AES Aggressive Push	Pair Corr
0.64	PLSE	Pulse Biosciences	Pair Corr
0.74	TOGOF	TomaGold	Pair Corr

Moving against MFBP Pink Sheet

0.8	PBCRY	Bank Central Asia	Pair Corr
0.55	PBCRF	PT Bank Central	Pair Corr
0.52	AFIIQ	Armstrong Flooring	Pair Corr

Related Correlations Analysis

	ANDC	CIZN	ALBY	VTYB	WDFN	HCBN	OAKV	EXCH	FMFP	HFBA
ANDC		0.23	-0.31	0.34	0.28	0.36	0.27	0.28	0.35	0.42	ANDC
CIZN	0.23		-0.59	0.91	0.87	0.84	0.68	0.75	0.76	0.67	CIZN
ALBY	-0.31	-0.59		-0.66	-0.54	-0.52	-0.48	-0.67	-0.67	-0.54	ALBY
VTYB	0.34	0.91	-0.66		0.91	0.88	0.67	0.66	0.78	0.56	VTYB
WDFN	0.28	0.87	-0.54	0.91		0.79	0.6	0.54	0.69	0.59	WDFN
HCBN	0.36	0.84	-0.52	0.88	0.79		0.62	0.55	0.67	0.5	HCBN
OAKV	0.27	0.68	-0.48	0.67	0.6	0.62		0.74	0.73	0.7	OAKV
EXCH	0.28	0.75	-0.67	0.66	0.54	0.55	0.74		0.79	0.76	EXCH
FMFP	0.35	0.76	-0.67	0.78	0.69	0.67	0.73	0.79		0.68	FMFP
HFBA	0.42	0.67	-0.54	0.56	0.59	0.5	0.7	0.76	0.68		HFBA
	ANDC	CIZN	ALBY	VTYB	WDFN	HCBN	OAKV	EXCH	FMFP	HFBA

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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

VTYB	+ 0.91	CIZN
WDFN	+ 0.91	VTYB
HCBN	+ 0.88	VTYB
WDFN	+ 0.87	CIZN
HCBN	+ 0.84	CIZN
HCBN	+ 0.79	WDFN

High negative correlations

FMFP	- 0.67	ALBY
EXCH	- 0.67	ALBY
VTYB	- 0.66	ALBY
ALBY	- 0.59	CIZN
HFBA	- 0.54	ALBY
WDFN	- 0.54	ALBY

Risk-Adjusted Indicators

There is a big difference between MFBP Pink Sheet performing well and MF Bancorp 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 MF Bancorp'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
ANDC	0.76	0.03	(0.02)	(0.04)	1.04	(2.53)	2.16	(2.63)	8.35
CIZN	1.11	0.58	0.30	3.87	0.66	(1.42)	4.86	(1.76)	9.52
ALBY	0.28	(0.03)	0.00	(2.82)	0.00	0.00	0.86	(0.86)	4.47
VTYB	0.52	0.22	0.21	20.70	0.00	(1.18)	2.61	(0.88)	5.79
WDFN	1.01	0.23	0.08	0.86	1.08	(1.39)	3.70	(2.08)	9.03
HCBN	0.40	0.10	0.00	0.64	0.00	0.00	1.27	(0.16)	10.07
OAKV	1.27	0.16	0.04	(0.35)	1.46	(1.75)	2.59	(2.52)	7.56
EXCH	0.50	0.24	0.00	(7.57)	0.00	0.00	0.00	0.00	17.10
FMFP	0.81	0.16	0.02	(1.03)	1.14	(2.39)	5.13	(2.12)	12.41
HFBA	0.34	0.16	0.00	(1.63)	0.00	0.00	1.54	0.00	5.09

Be your own money manager

Our tools can tell you how much better you can do entering a position in MF Bancorp without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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