MFS Active Correlations

MFSM Etf

25.09 0.10 0.40%

The current 90-days correlation between MFS Active Intermediate and SSGA Active Trust is 0.35 (i.e., 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.

Build AI portfolio with MFS Etf

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

Moving together with MFS Etf

0.98	MUB	iShares National Muni Sell-off Trend	Pair Corr
0.98	VTEB	Vanguard Tax Exempt Sell-off Trend	Pair Corr
0.94	FMB	First Trust Managed	Pair Corr
0.95	ITM	VanEck Intermediate Muni	Pair Corr
0.97	DFNM	Dimensional ETF Trust	Pair Corr
0.98	MMIT	IQ MacKay Municipal	Pair Corr
0.97	HMOP	Hartford Municipal	Pair Corr
0.98	TAXF	American Century Div	Pair Corr
0.98	JMUB	JPMorgan Municipal	Pair Corr
0.91	MUST	Columbia Multi Sector	Pair Corr
0.79	OIH	VanEck Oil Services	Pair Corr
0.86	WTMF	WisdomTree Managed	Pair Corr
0.78	EWC	iShares MSCI Canada	Pair Corr
0.7	TOT	Advisor Managed Port	Pair Corr
0.71	VTI	Vanguard Total Stock Sell-off Trend	Pair Corr
0.84	JPIE	JP Morgan Exchange	Pair Corr
0.9	VXUS	Vanguard Total Inter	Pair Corr
0.88	SLV	iShares Silver Trust Aggressive Push	Pair Corr
0.89	DDX	Defined Duration Symbol Change	Pair Corr
0.78	SKOR	FlexShares Credit	Pair Corr
0.85	PDBC	Invesco Optimum Yield	Pair Corr
0.77	FALN	iShares Fallen Angels	Pair Corr
0.83	SGVT	Schwab Strategic Trust	Pair Corr
0.65	XLF	Financial Select Sector	Pair Corr
0.78	SPUT	Innovator ETFs Trust	Pair Corr
0.66	VV	Vanguard Large Cap	Pair Corr
0.86	FIVA	Fidelity International	Pair Corr
0.87	EFA	iShares MSCI EAFE	Pair Corr
0.89	DIHP	Dimensional International	Pair Corr
0.69	VOO	Vanguard SP 500 Sell-off Trend	Pair Corr
0.82	VT	Vanguard Total World	Pair Corr
0.86	USHY	iShares Broad USD	Pair Corr
0.82	ESN	Essential 40 Stock	Pair Corr
0.81	VGSH	Vanguard Short Term Sell-off Trend	Pair Corr
0.73	PQJL	PGIM Nasdaq 100	Pair Corr

Moving against MFS Etf

0.45

ARKW

ARK Next Generation

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.6	0.32	-0.39	0.24	-0.24	0.43	-0.19	-0.35	-0.43	META
MSFT	0.6		0.8	-0.55	0.48	0.06	0.13	-0.45	-0.84	-0.7	MSFT
UBER	0.32	0.8		-0.49	0.44	0.32	-0.14	-0.5	-0.81	-0.54	UBER
F	-0.39	-0.55	-0.49		-0.71	0.09	0.24	0.66	0.71	0.73	F
T	0.24	0.48	0.44	-0.71		0.32	-0.45	-0.6	-0.51	-0.64	T
A	-0.24	0.06	0.32	0.09	0.32		-0.5	-0.26	-0.06	-0.09	A
CRM	0.43	0.13	-0.14	0.24	-0.45	-0.5		0.52	0.11	0.02	CRM
JPM	-0.19	-0.45	-0.5	0.66	-0.6	-0.26	0.52		0.64	0.52	JPM
MRK	-0.35	-0.84	-0.81	0.71	-0.51	-0.06	0.11	0.64		0.79	MRK
XOM	-0.43	-0.7	-0.54	0.73	-0.64	-0.09	0.02	0.52	0.79		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

UBER	+ 0.8	MSFT
XOM	+ 0.79	MRK
XOM	+ 0.73	F
MRK	+ 0.71	F
JPM	+ 0.66	F
MRK	+ 0.64	JPM

High negative correlations

MRK	- 0.84	MSFT
MRK	- 0.81	UBER
T	- 0.71	F
XOM	- 0.7	MSFT
XOM	- 0.64	T
JPM	- 0.6	T

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	1.32	(0.28)	0.00	(0.20)	0.00	0.00	2.30	(2.67)	13.46
MSFT	0.94	(0.21)	0.00	(0.38)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.46	(0.23)	0.00	(0.17)	0.00	0.00	2.60	(3.82)	10.23
F	1.42	0.13	0.12	0.18	1.27	(1.72)	3.38	(2.35)	16.30
T	0.89	(0.18)	0.00	(0.42)	0.00	0.00	1.53	(1.85)	4.30
A	1.14	(0.09)	(0.05)	0.02	1.39	(1.20)	2.34	(2.22)	6.50
CRM	1.57	(0.16)	0.00	(0.06)	0.00	0.00	3.66	(2.92)	12.37
JPM	1.12	(0.07)	(0.02)	0.04	1.59	(1.13)	2.00	(2.34)	7.38
MRK	1.23	0.32	0.23	0.44	1.01	(1.55)	3.59	(1.98)	8.09
XOM	1.07	0.23	0.12	2.92	0.98	(1.24)	2.37	(1.51)	5.82

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