Mairs Power Correlations
MINN Etf | USD 22.03 0.02 0.09% |
The current 90-days correlation between Mairs Power Minnesota and BlackRock Intermediate Muni is 0.06 (i.e., Significant 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
Average diversification
The correlation between Mairs Power Minnesota and DJI is 0.13 (i.e., Average 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.
Mairs |
Moving together with Mairs Etf
0.79 | PMBS | PIMCO Mortgage Backed | PairCorr |
0.68 | PG | Procter Gamble | PairCorr |
0.7 | HD | Home Depot | PairCorr |
0.65 | IBM | International Business Earnings Call This Week | PairCorr |
0.61 | T | ATT Inc Aggressive Push | PairCorr |
Moving against Mairs Etf
Related Correlations Analysis
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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
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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 | 1.35 | 0.12 | 0.06 | 0.37 | 1.51 | 3.43 | 7.43 | |||
MSFT | 0.96 | 0.11 | 0.05 | 1.81 | 1.52 | 2.12 | 8.14 | |||
UBER | 1.60 | (0.27) | 0.00 | (3.51) | 0.00 | 2.67 | 12.29 | |||
F | 1.44 | (0.12) | 0.00 | (0.23) | 0.00 | 2.46 | 11.21 | |||
T | 0.97 | 0.05 | 0.03 | 0.17 | 1.13 | 1.91 | 7.96 | |||
A | 1.21 | 0.13 | 0.09 | 0.28 | 1.20 | 2.81 | 8.06 | |||
CRM | 1.42 | 0.21 | 0.12 | 0.85 | 1.45 | 3.16 | 14.80 | |||
JPM | 1.05 | 0.25 | 0.18 | 1.04 | 1.09 | 1.92 | 15.87 | |||
MRK | 0.99 | (0.21) | 0.00 | (1.25) | 0.00 | 1.74 | 5.24 | |||
XOM | 0.75 | (0.15) | 0.00 | (0.35) | 0.00 | 1.71 | 6.06 |