Mairs Power Correlations

MINN Etf

USD 22.07 0.00 0.00%

The current 90-days correlation between Mairs Power Minnesota and BlackRock Intermediate Muni is 0.37 (i.e., Weak 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

Modest diversification

The correlation between Mairs Power Minnesota and DJI is 0.21 (i.e., Modest 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

0.78	BND	Vanguard Total Bond Sell-off Trend	Pair Corr
0.72	VEA	Vanguard FTSE Developed	Pair Corr
0.77	PG	Procter Gamble	Pair Corr
0.78	IBM	International Business	Pair Corr
0.73	MCD	McDonalds	Pair Corr
0.62	GE	GE Aerospace	Pair Corr
0.77	T	ATT Inc Earnings Call Today	Pair Corr
0.69	VZ	Verizon Communications	Pair Corr

Moving against Mairs Etf

0.62

MRK

Merck Company

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.04	0.59	-0.54	0.32	0.42	0.26	0.9	-0.75	-0.01	META
MSFT	-0.04		-0.62	0.09	-0.79	0.69	0.89	0.1	0.44	-0.52	MSFT
UBER	0.59	-0.62		-0.35	0.8	-0.25	-0.53	0.53	-0.85	0.54	UBER
F	-0.54	0.09	-0.35		-0.05	-0.04	-0.08	-0.39	0.56	0.31	F
T	0.32	-0.79	0.8	-0.05		-0.57	-0.71	0.17	-0.65	0.58	T
A	0.42	0.69	-0.25	-0.04	-0.57		0.79	0.62	0.1	-0.3	A
CRM	0.26	0.89	-0.53	-0.08	-0.71	0.79		0.33	0.24	-0.58	CRM
JPM	0.9	0.1	0.53	-0.39	0.17	0.62	0.33		-0.63	0.07	JPM
MRK	-0.75	0.44	-0.85	0.56	-0.65	0.1	0.24	-0.63		-0.31	MRK
XOM	-0.01	-0.52	0.54	0.31	0.58	-0.3	-0.58	0.07	-0.31		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	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.79	A
A	+ 0.69	MSFT
JPM	+ 0.62	A

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

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	1.59	0.02	0.00	(0.05)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.12	(0.15)	0.00	(0.28)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.41	0.19	0.74	2.06	(2.04)	4.72	(3.13)	12.75
F	1.47	0.07	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.04	0.26	0.16	0.40	1.61	(1.11)	1.90	(1.75)	11.66
A	1.15	(0.15)	0.00	(0.23)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.27)	0.00	(0.31)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.09	0.05	0.02	1.74	(1.04)	1.99	(3.35)	6.85
MRK	1.17	(0.11)	0.00	1.52	0.00	0.00	2.07	(1.80)	11.58
XOM	1.06	0.11	0.10	0.17	1.39	(1.08)	2.55	(2.36)	5.89

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