MFS Active Correlations
MFSM Etf | 24.72 0.03 0.12% |
The current 90-days correlation between MFS Active Intermediate and SSGA Active Trust is 0.46 (i.e., Very weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as MFS Active moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MFS Active Intermediate moves in either direction, the perfectly negatively correlated security will move in the opposite direction.
MFS Active Correlation With Market
Good diversification
The correlation between MFS Active Intermediate and DJI is -0.12 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MFS Active Intermediate and DJI in the same portfolio, assuming nothing else is changed.
MFS |
Moving together with MFS Etf
0.7 | BND | Vanguard Total Bond | PairCorr |
0.74 | FXY | Invesco CurrencyShares | PairCorr |
0.68 | PMBS | PIMCO Mortgage Backed | PairCorr |
0.69 | XLV | Health Care Select | PairCorr |
0.61 | VRP | Invesco Variable Rate | PairCorr |
0.62 | BSCS | Invesco BulletShares 2028 | PairCorr |
0.63 | SDFI | AB Active ETFs, | PairCorr |
0.78 | TLT | iShares 20 Year Aggressive Push | PairCorr |
0.62 | EVSD | Eaton Vance Short | PairCorr |
0.66 | ACWV | iShares MSCI Global | PairCorr |
Moving against MFS 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
| High negative correlations
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MFS Active Competition Risk-Adjusted Indicators
There is a big difference between MFS Etf performing well and MFS Active 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 MFS Active'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 | 1.85 | 0.00 | 0.00 | (0.17) | 0.00 | 2.96 | 13.19 | |||
MSFT | 1.19 | (0.12) | 0.00 | (0.33) | 0.00 | 2.58 | 10.31 | |||
UBER | 2.12 | 0.31 | 0.09 | 0.11 | 2.90 | 4.72 | 14.79 | |||
F | 1.60 | 0.16 | 0.07 | 0.02 | 2.48 | 2.80 | 11.82 | |||
T | 1.12 | 0.37 | 0.20 | 0.45 | 1.98 | 1.99 | 11.66 | |||
A | 1.34 | (0.21) | 0.00 | (0.35) | 0.00 | 2.92 | 9.03 | |||
CRM | 1.55 | (0.29) | 0.00 | (0.41) | 0.00 | 2.72 | 9.97 | |||
JPM | 1.34 | 0.06 | 0.00 | (0.12) | 0.00 | 2.16 | 10.19 | |||
MRK | 1.32 | (0.23) | 0.00 | (1.34) | 0.00 | 2.07 | 11.58 | |||
XOM | 1.22 | 0.14 | 0.07 | 0.00 | 2.13 | 2.55 | 8.23 |