Mairs Power Correlations

MINN Etf

USD 22.21 0.01 0.04%

The current 90-days correlation between Mairs Power Minnesota and BlackRock Intermediate Muni is 0.61 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Mairs Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mairs Power Minnesota moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Mairs Power Correlation With Market

Good diversification

The correlation between Mairs Power Minnesota and DJI is -0.11 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Mairs Power Minnesota and DJI in the same portfolio, assuming nothing else is changed.

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mairs Power Minnesota. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

Moving together with Mairs Etf

0.82

BND

Vanguard Total Bond

Pair Corr

Moving against Mairs Etf

0.53	XLF	Financial Select Sector Aggressive Push	Pair Corr
0.51	MSTY	YieldMax MSTR Option	Pair Corr
0.51	USFR	WisdomTree Floating Rate	Pair Corr
0.49	PUTW	WisdomTree CBOE SP	Pair Corr
0.45	VUG	Vanguard Growth Index	Pair Corr
0.42	BTC	Grayscale Bitcoin Mini	Pair Corr
0.4	VTI	Vanguard Total Stock	Pair Corr
0.39	SPY	SPDR SP 500 Aggressive Push	Pair Corr
0.39	IVV	iShares Core SP	Pair Corr
0.39	VB	Vanguard Small Cap	Pair Corr
0.38	XLK	Technology Select Sector	Pair Corr
0.37	VO	Vanguard Mid Cap	Pair Corr
0.36	DIVB	iShares Dividend	Pair Corr
0.31	DIVG	Invesco Exchange Traded	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.57	-0.02	0.62	0.02	0.71	0.3	-0.57	0.73	META
MSFT	0.28		0.24	0.13	0.18	-0.02	0.02	-0.17	0.11	-0.19	MSFT
UBER	0.57	0.24		-0.01	0.05	0.25	0.08	-0.07	0.02	0.38	UBER
F	-0.02	0.13	-0.01		-0.04	-0.36	0.32	0.6	-0.22	0.26	F
T	0.62	0.18	0.05	-0.04		-0.46	0.71	0.45	-0.75	0.39	T
A	0.02	-0.02	0.25	-0.36	-0.46		-0.47	-0.65	0.63	0.0	A
CRM	0.71	0.02	0.08	0.32	0.71	-0.47		0.81	-0.92	0.68	CRM
JPM	0.3	-0.17	-0.07	0.6	0.45	-0.65	0.81		-0.82	0.49	JPM
MRK	-0.57	0.11	0.02	-0.22	-0.75	0.63	-0.92	-0.82		-0.56	MRK
XOM	0.73	-0.19	0.38	0.26	0.39	0.0	0.68	0.49	-0.56		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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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

JPM	+ 0.81	CRM
XOM	+ 0.73	META
CRM	+ 0.71	META
CRM	+ 0.71	T
XOM	+ 0.68	CRM
MRK	+ 0.63	A

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.75	T
JPM	- 0.65	A
MRK	- 0.57	META
XOM	- 0.56	MRK

Mairs Power Constituents Risk-Adjusted Indicators

There is a big difference between Mairs Etf performing well and Mairs Power ETF 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 Mairs Power'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
META	1.05	0.01	(0.01)	0.12	1.40	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.11)	0.00	(0.05)	0.00	0.00	2.09	(2.02)	8.19
UBER	1.56	(0.16)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.39	(0.12)	(0.03)	0.02	2.20	(1.34)	2.53	(2.90)	11.72
T	0.92	0.26	0.15	57.17	0.86	(1.04)	2.56	(1.72)	6.47
A	1.12	(0.13)	0.00	(0.16)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.28	0.27	0.23	0.33	0.92	(1.51)	3.18	(1.91)	9.09
JPM	1.11	0.03	0.07	0.12	1.44	(1.15)	2.05	(2.00)	15.87
MRK	0.85	(0.24)	0.00	(1.03)	0.00	0.00	1.73	(2.13)	4.89
XOM	1.04	0.06	0.01	0.20	1.20	(1.10)	2.14	(2.09)	5.78

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