MFS Active Correlations

MFSM Etf

24.16 0.04 0.17%

The current 90-days correlation between MFS Active Intermediate and SSGA Active Trust is 0.55 (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

Average diversification

The correlation between MFS Active Intermediate and DJI is 0.1 (i.e., Average 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.

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 state.

Moving together with MFS Etf

0.64	VTV	Vanguard Value Index	Pair Corr
0.67	VWO	Vanguard FTSE Emerging	Pair Corr
0.65	ITDD	iShares Trust	Pair Corr
0.61	DIS	Walt Disney	Pair Corr
0.71	CSCO	Cisco Systems	Pair Corr
0.61	IBM	International Business Earnings Call This Week	Pair Corr
0.64	PG	Procter Gamble Earnings Call Today	Pair Corr
0.75	DD	Dupont De Nemours	Pair Corr
0.74	PFE	Pfizer Inc	Pair Corr

Moving against MFS Etf

0.45

ULE

ProShares Ultra Euro

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.63	0.38	-0.31	-0.35	0.77	0.83	0.91	0.25	0.07	META
MSFT	0.63		-0.11	-0.02	-0.78	0.9	0.9	0.76	0.51	-0.04	MSFT
UBER	0.38	-0.11		-0.35	0.51	-0.14	-0.07	0.32	-0.38	0.29	UBER
F	-0.31	-0.02	-0.35		0.1	-0.02	-0.09	-0.24	0.4	0.51	F
T	-0.35	-0.78	0.51	0.1		-0.78	-0.73	-0.42	-0.55	0.28	T
A	0.77	0.9	-0.14	-0.02	-0.78		0.97	0.81	0.63	0.05	A
CRM	0.83	0.9	-0.07	-0.09	-0.73	0.97		0.87	0.51	-0.02	CRM
JPM	0.91	0.76	0.32	-0.24	-0.42	0.81	0.87		0.19	0.08	JPM
MRK	0.25	0.51	-0.38	0.4	-0.55	0.63	0.51	0.19		0.31	MRK
XOM	0.07	-0.04	0.29	0.51	0.28	0.05	-0.02	0.08	0.31		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	+ 0.97	A
JPM	+ 0.91	META
A	+ 0.9	MSFT
CRM	+ 0.9	MSFT
JPM	+ 0.87	CRM
CRM	+ 0.83	META

High negative correlations

A	- 0.78	T
T	- 0.78	MSFT
CRM	- 0.73	T
MRK	- 0.55	T
JPM	- 0.42	T
MRK	- 0.38	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	2.14	(0.10)	0.00	(0.16)	0.00	0.00	2.96	(4.67)	21.50
MSFT	1.37	(0.07)	0.00	(0.16)	0.00	0.00	2.91	(3.34)	12.47
UBER	2.23	0.32	0.09	0.16	2.86	(2.14)	5.40	(4.21)	16.03
F	1.94	0.02	0.05	(0.15)	2.85	(1.83)	3.19	(3.88)	13.11
T	1.12	0.40	0.19	0.98	2.05	(1.21)	1.97	(1.75)	13.13
A	1.61	(0.36)	0.00	(0.41)	0.00	0.00	2.92	(5.45)	14.45
CRM	1.69	(0.24)	0.00	(0.31)	0.00	0.00	2.82	(4.51)	12.32
JPM	1.54	0.05	0.00	(0.06)	0.00	0.00	2.66	(4.15)	11.14
MRK	1.48	(0.35)	0.00	(0.92)	0.00	0.00	2.43	(4.81)	11.58
XOM	1.38	0.03	0.00	(0.06)	0.00	0.00	2.69	(3.21)	10.54

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