MFS Active Correlations

MFSV Etf

27.33 0.15 0.55%

The current 90-days correlation between MFS Active Value and FT Vest Equity is 0.47 (i.e., Very weak 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. If the correlation is 0, the equities are not correlated; they are entirely random.

MFS Active Correlation With Market

Poor diversification

The correlation between MFS Active Value and DJI is 0.68 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MFS Active Value and DJI in the same portfolio, assuming nothing else is changed.

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 Value. 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

0.72	VTV	Vanguard Value Index	Pair Corr
0.63	VYM	Vanguard High Dividend	Pair Corr
0.67	IWD	iShares Russell 1000	Pair Corr
0.68	DGRO	iShares Core Dividend	Pair Corr
0.93	IVE	iShares SP 500	Pair Corr
0.61	SPYV	SPDR Portfolio SP	Pair Corr
0.94	IUSV	iShares Core SP	Pair Corr
0.94	NOBL	ProShares SP 500	Pair Corr
0.93	FNDX	Schwab Fundamental Large	Pair Corr
0.91	VLUE	iShares MSCI USA	Pair Corr
0.91	LENS	Sarmaya Thematic ETF	Pair Corr
0.89	ASA	ASA Gold	Pair Corr
0.96	SNPD	DBX ETF Trust	Pair Corr
0.63	INOV	Innovator ETFs Trust	Pair Corr
0.63	JEPI	JPMorgan Equity Premium	Pair Corr
0.66	BA	Boeing	Pair Corr
0.68	AA	Alcoa Corp	Pair Corr

Moving against MFS Etf

0.36	HPQ	HP Inc	Pair Corr
0.32	T	ATT Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.63	0.38	-0.48	0.26	-0.32	0.31	-0.26	-0.37	-0.47	META
MSFT	0.63		0.84	-0.56	0.43	-0.03	-0.04	-0.48	-0.82	-0.65	MSFT
UBER	0.38	0.84		-0.55	0.47	0.2	-0.24	-0.48	-0.83	-0.63	UBER
F	-0.48	-0.56	-0.55		-0.68	0.24	0.36	0.58	0.68	0.77	F
T	0.26	0.43	0.47	-0.68		0.25	-0.67	-0.62	-0.45	-0.57	T
A	-0.32	-0.03	0.2	0.24	0.25		-0.48	-0.27	0.01	0.0	A
CRM	0.31	-0.04	-0.24	0.36	-0.67	-0.48		0.54	0.27	0.32	CRM
JPM	-0.26	-0.48	-0.48	0.58	-0.62	-0.27	0.54		0.65	0.66	JPM
MRK	-0.37	-0.82	-0.83	0.68	-0.45	0.01	0.27	0.65		0.8	MRK
XOM	-0.47	-0.65	-0.63	0.77	-0.57	0.0	0.32	0.66	0.8		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	+ 0.84	MSFT
XOM	+ 0.8	MRK
XOM	+ 0.77	F
MRK	+ 0.68	F
XOM	+ 0.66	JPM
MRK	+ 0.65	JPM

High negative correlations

MRK	- 0.83	UBER
MRK	- 0.82	MSFT
T	- 0.68	F
CRM	- 0.67	T
XOM	- 0.65	MSFT
XOM	- 0.63	UBER

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	1.36	(0.20)	0.00	(0.12)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.91	(0.18)	0.00	(0.27)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.54	(0.28)	0.00	(0.19)	0.00	0.00	2.60	(3.82)	10.23
F	1.44	0.18	0.14	0.22	1.32	(1.68)	3.38	(2.35)	16.30
T	0.88	(0.14)	0.00	(0.52)	0.00	0.00	1.61	(1.83)	5.75
A	1.13	0.01	0.02	0.09	1.26	(1.22)	2.34	(2.22)	6.50
CRM	1.51	0.06	0.02	0.16	1.92	(1.53)	3.66	(2.92)	9.91
JPM	1.12	0.10	0.01	1.54	1.44	(1.17)	2.34	(2.28)	7.02
MRK	1.22	0.30	0.22	0.45	1.05	(1.52)	3.59	(1.98)	8.09
XOM	1.04	0.12	0.05	0.44	1.06	(1.15)	2.21	(1.93)	5.82

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