Matthews Emerging Correlations

EMSF Etf

USD 25.04 0.14 0.56%

The current 90-days correlation between Matthews Emerging Markets and Strategy Shares is -0.02 (i.e., Good diversification). The correlation of Matthews Emerging 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.

Matthews Emerging Correlation With Market

Good diversification

The correlation between Matthews Emerging Markets and DJI is -0.14 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Matthews Emerging Markets and DJI in the same portfolio, assuming nothing else is changed.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Matthews Emerging 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 state.

Moving together with Matthews Etf

0.8	VWO	Vanguard FTSE Emerging Sell-off Trend	Pair Corr
0.79	IEMG	iShares Core MSCI Sell-off Trend	Pair Corr
0.63	EMC	Global X Funds	Pair Corr
0.79	EEM	iShares MSCI Emerging	Pair Corr
0.81	SPEM	SPDR Portfolio Emerging Sell-off Trend	Pair Corr
0.77	FNDE	Schwab Fundamental	Pair Corr
0.78	ESGE	iShares ESG Aware	Pair Corr
0.76	SFGRX	Seafarer Overseas	Pair Corr
0.72	DGS	WisdomTree Emerging	Pair Corr
0.75	XSOE	WisdomTree Emerging	Pair Corr
0.68	FXY	Invesco CurrencyShares	Pair Corr
0.62	PMBS	PIMCO Mortgage Backed	Pair Corr
0.63	GDXU	MicroSectors Gold Miners	Pair Corr
0.68	KO	Coca Cola Sell-off Trend	Pair Corr
0.67	T	ATT Inc Aggressive Push	Pair Corr
0.65	MCD	McDonalds	Pair Corr
0.62	DD	Dupont De Nemours	Pair Corr
0.61	VZ	Verizon Communications Sell-off Trend	Pair Corr

Moving against Matthews Etf

0.42	PFE	Pfizer Inc	Pair Corr
0.41	WGMI	Valkyrie Bitcoin Miners	Pair Corr
0.47	CAT	Caterpillar	Pair Corr
0.44	MSFT	Microsoft Aggressive Push	Pair Corr
0.35	AXP	American Express	Pair Corr
0.32	DIS	Walt Disney	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.01	0.57	-0.52	0.29	0.43	0.3	0.91	-0.73	-0.04	META
MSFT	-0.01		-0.6	-0.02	-0.8	0.72	0.88	0.12	0.42	-0.56	MSFT
UBER	0.57	-0.6		-0.23	0.81	-0.28	-0.52	0.54	-0.84	0.57	UBER
F	-0.52	-0.02	-0.23		0.06	-0.14	-0.2	-0.41	0.44	0.42	F
T	0.29	-0.8	0.81	0.06		-0.6	-0.72	0.19	-0.65	0.61	T
A	0.43	0.72	-0.28	-0.14	-0.6		0.82	0.57	0.13	-0.38	A
CRM	0.3	0.88	-0.52	-0.2	-0.72	0.82		0.35	0.22	-0.62	CRM
JPM	0.91	0.12	0.54	-0.41	0.19	0.57	0.35		-0.63	0.0	JPM
MRK	-0.73	0.42	-0.84	0.44	-0.65	0.13	0.22	-0.63		-0.35	MRK
XOM	-0.04	-0.56	0.57	0.42	0.61	-0.38	-0.62	0.0	-0.35		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

JPM	+ 0.91	META
CRM	+ 0.88	MSFT
CRM	+ 0.82	A
T	+ 0.81	UBER
A	+ 0.72	MSFT
XOM	+ 0.61	T

High negative correlations

MRK	- 0.84	UBER
T	- 0.8	MSFT
MRK	- 0.73	META
CRM	- 0.72	T
MRK	- 0.65	T
MRK	- 0.63	JPM

Matthews Emerging Competition Risk-Adjusted Indicators

There is a big difference between Matthews Etf performing well and Matthews Emerging 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 Matthews Emerging'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	1.63	0.03	0.01	0.02	2.30	(1.45)	2.96	(3.73)	8.90
MSFT	1.11	(0.21)	0.00	(0.24)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.89	0.35	0.15	0.55	2.08	(2.07)	4.72	(3.13)	12.75
F	1.44	0.10	0.05	0.09	2.16	(1.40)	2.71	(2.88)	10.14
T	0.99	0.29	0.17	0.54	1.45	(1.12)	1.90	(1.55)	11.66
A	1.16	(0.19)	0.00	(0.18)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.40	(0.29)	0.00	(0.24)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.14	0.06	0.03	0.24	1.76	(1.09)	2.16	(3.35)	6.85
MRK	1.24	(0.18)	0.00	1.61	0.00	0.00	2.07	(2.25)	11.58
XOM	1.03	0.13	0.09	0.29	1.29	(1.05)	2.55	(2.36)	5.89

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