MFS Government Correlations

MGF Etf

USD 3.07 0.00 0.00%

The current 90-days correlation between MFS Government Markets and MFS Investment Grade is 0.22 (i.e., Modest diversification). The correlation of MFS Government 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 Government Correlation With Market

Significant diversification

The correlation between MFS Government Markets and DJI is 0.06 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MFS Government Markets 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 Government Markets. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price.

Moving together with MFS Etf

0.75	DIST	Distoken Acquisition	Pair Corr
0.61	DB	Deutsche Bank AG Earnings Call This Week	Pair Corr
0.62	DX	Dynex Capital	Pair Corr
0.69	GS	Goldman Sachs Group	Pair Corr
0.67	LC	LendingClub Corp Earnings Call Next Week	Pair Corr
0.62	MS	Morgan Stanley	Pair Corr
0.67	WT	WisdomTree Sell-off Trend	Pair Corr
0.63	VIRT	Virtu Financial,	Pair Corr

Moving against MFS Etf

0.71	GCMGW	GCM Grosvenor	Pair Corr
0.6	WU	Western Union Earnings Call This Week	Pair Corr
0.31	LX	Lexinfintech Holdings Upward Rally	Pair Corr
0.36	ANSCW	Agriculture Natural	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.98	0.84	0.82	0.55	0.93	0.29	0.94	0.23	0.56	META
MSFT	0.98		0.87	0.85	0.52	0.89	0.29	0.96	0.24	0.55	MSFT
UBER	0.84	0.87		0.9	0.42	0.81	0.54	0.88	0.21	0.5	UBER
F	0.82	0.85	0.9		0.4	0.84	0.28	0.91	0.43	0.72	F
T	0.55	0.52	0.42	0.4		0.57	0.17	0.5	0.27	0.22	T
A	0.93	0.89	0.81	0.84	0.57		0.24	0.89	0.37	0.67	A
CRM	0.29	0.29	0.54	0.28	0.17	0.24		0.23	-0.26	-0.11	CRM
JPM	0.94	0.96	0.88	0.91	0.5	0.89	0.23		0.32	0.64	JPM
MRK	0.23	0.24	0.21	0.43	0.27	0.37	-0.26	0.32		0.55	MRK
XOM	0.56	0.55	0.5	0.72	0.22	0.67	-0.11	0.64	0.55		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

MSFT	+ 0.98	META
JPM	+ 0.96	MSFT
JPM	+ 0.94	META
A	+ 0.93	META
JPM	+ 0.91	F
F	+ 0.9	UBER

High negative correlations

MRK	- 0.26	CRM
XOM	- 0.11	CRM

MFS Government Competition Risk-Adjusted Indicators

There is a big difference between MFS Etf performing well and MFS Government 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 Government'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	1.51	0.26	0.21	0.32	1.10	(1.82)	3.99	(2.35)	10.48
MSFT	0.90	0.30	0.27	0.47	0.54	(1.09)	2.33	(1.08)	8.85
UBER	1.64	0.20	0.13	0.33	1.40	(2.08)	4.19	(2.54)	10.87
F	1.32	0.14	0.06	0.32	1.47	(1.42)	2.69	(2.61)	7.46
T	1.02	(0.05)	(0.10)	0.00	1.35	(1.06)	2.35	(2.35)	5.71
A	1.46	(0.07)	0.00	0.09	1.81	(1.51)	2.54	(2.89)	14.01
CRM	1.33	(0.13)	(0.04)	0.04	1.74	(1.28)	2.95	(3.19)	9.31
JPM	0.90	0.22	0.18	0.38	0.67	(1.02)	2.25	(1.36)	6.03
MRK	1.39	(0.09)	(0.05)	0.04	1.96	(1.32)	2.88	(3.31)	10.58
XOM	1.13	0.05	(0.04)	0.41	1.36	(1.15)	2.40	(2.58)	5.84

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