MFS Active Correlations

MFSB Etf

24.87 0.04 0.16%

The current 90-days correlation between MFS Active Core and Valued Advisers Trust is 0.11 (i.e., Average diversification). The correlation of MFS Active is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

MFS Active Correlation With Market

Modest diversification

The correlation between MFS Active Core and DJI is 0.2 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MFS Active Core 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 MFS Active Core. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state.

Moving together with MFS Etf

0.82	BND	Vanguard Total Bond Sell-off Trend	Pair Corr
0.64	VEA	Vanguard FTSE Developed	Pair Corr
0.71	FXY	Invesco CurrencyShares	Pair Corr
0.82	PMBS	PIMCO Mortgage Backed	Pair Corr
0.89	RODM	Hartford Multifactor	Pair Corr
0.78	SLV	iShares Silver Trust	Pair Corr
0.91	INTF	iShares Edge MSCI	Pair Corr
0.9	DFIV	Dimensional International	Pair Corr
0.74	XLV	Health Care Select	Pair Corr
0.8	PSLV	Sprott Physical Silver Aggressive Push	Pair Corr
0.76	PPT	Putnam Premier Income	Pair Corr
0.83	GLTR	abrdn Physical Precious	Pair Corr
0.88	MCHS	Matthews China Discovery	Pair Corr
0.87	VRP	Invesco Variable Rate	Pair Corr
0.97	BSCS	Invesco BulletShares 2028	Pair Corr
0.77	VWO	Vanguard FTSE Emerging	Pair Corr
0.94	UYLD	Angel Oak UltraShort	Pair Corr
0.68	AVNM	American Century ETF	Pair Corr
0.73	SDFI	AB Active ETFs,	Pair Corr
0.92	HDV	iShares Core High	Pair Corr
0.98	TLT	iShares 20 Year Sell-off Trend	Pair Corr
0.65	SJCP	SanJac Alpha Core	Pair Corr
0.82	SGDM	Sprott Gold Miners	Pair Corr
0.69	EVSD	Eaton Vance Short	Pair Corr
0.94	ACWV	iShares MSCI Global	Pair Corr

Moving against MFS Etf

0.73	WGMI	Valkyrie Bitcoin Miners	Pair Corr
0.63	VB	Vanguard Small Cap	Pair Corr
0.55	VUG	Vanguard Growth Index	Pair Corr
0.5	VTI	Vanguard Total Stock	Pair Corr
0.47	SPY	SPDR SP 500	Pair Corr
0.47	IVV	iShares Core SP	Pair Corr
0.39	VO	Vanguard Mid Cap	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.17	0.46	-0.59	0.06	0.45	0.44	0.89	-0.56	-0.33	META
MSFT	0.17		-0.52	-0.13	-0.84	0.86	0.89	0.36	0.42	-0.6	MSFT
UBER	0.46	-0.52		-0.23	0.75	-0.39	-0.47	0.38	-0.78	0.44	UBER
F	-0.59	-0.13	-0.23		0.16	-0.24	-0.28	-0.42	0.3	0.47	F
T	0.06	-0.84	0.75	0.16		-0.76	-0.77	-0.03	-0.64	0.65	T
A	0.45	0.86	-0.39	-0.24	-0.76		0.91	0.59	0.27	-0.6	A
CRM	0.44	0.89	-0.47	-0.28	-0.77	0.91		0.53	0.26	-0.69	CRM
JPM	0.89	0.36	0.38	-0.42	-0.03	0.59	0.53		-0.51	-0.21	JPM
MRK	-0.56	0.42	-0.78	0.3	-0.64	0.27	0.26	-0.51		-0.4	MRK
XOM	-0.33	-0.6	0.44	0.47	0.65	-0.6	-0.69	-0.21	-0.4		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

CRM	+ 0.91	A
JPM	+ 0.89	META
CRM	+ 0.89	MSFT
A	+ 0.86	MSFT
T	+ 0.75	UBER
XOM	+ 0.65	T

High negative correlations

T	- 0.84	MSFT
MRK	- 0.78	UBER
CRM	- 0.77	T
A	- 0.76	T
XOM	- 0.69	CRM
MRK	- 0.64	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	1.65	(0.05)	0.00	0.17	0.00	0.00	2.96	(4.29)	8.90
MSFT	1.14	(0.16)	0.00	(0.22)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.91	0.28	0.13	61.55	2.15	(2.02)	4.72	(3.13)	12.75
F	1.50	0.04	0.04	(0.30)	2.18	(1.47)	2.80	(2.89)	10.14
T	1.00	0.35	0.24	(8.09)	1.37	(1.17)	1.99	(1.21)	11.66
A	1.18	(0.18)	0.00	(0.22)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.40	(0.28)	0.00	(0.27)	0.00	0.00	2.72	(3.53)	8.88
JPM	1.10	0.03	0.04	0.06	1.66	(1.07)	2.16	(2.12)	6.85
MRK	1.25	(0.21)	0.00	0.89	0.00	0.00	2.07	(2.76)	11.58
XOM	1.03	0.20	0.16	0.39	1.21	(1.12)	2.55	(2.36)	5.89

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