WisdomTree China Correlations

CXSE Etf

USD 41.29 0.66 1.57%

The current 90-days correlation between WisdomTree China and FlexShares Morningstar Developed is 0.53 (i.e., Very weak diversification). The correlation of WisdomTree China 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.

WisdomTree China Correlation With Market

Very weak diversification

The correlation between WisdomTree China ex State Owne and DJI is 0.44 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding WisdomTree China ex State Owne and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with WisdomTree Etf

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in WisdomTree China ex State Owned. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in real.

Moving together with WisdomTree Etf

0.86	KWEB	KraneShares CSI China	Pair Corr
0.72	FXI	iShares China Large	Pair Corr
0.63	EWT	iShares MSCI Taiwan	Pair Corr
0.7	ASHR	Xtrackers Harvest CSI	Pair Corr
0.9	GXC	SPDR SP China	Pair Corr
0.89	CQQQ	Invesco China Technology	Pair Corr
0.68	CNYA	iShares MSCI China	Pair Corr

Related Correlations Analysis

	DWM	JKL	EES	EBI	DTH	KSA	JVAL	DNL	PPH	TLTD
DWM		0.94	0.91	0.97	0.98	0.06	0.93	0.94	0.8	1.0	DWM
JKL	0.94		0.96	0.95	0.92	-0.08	0.98	0.86	0.78	0.94	JKL
EES	0.91	0.96		0.96	0.89	-0.15	0.94	0.83	0.77	0.92	EES
EBI	0.97	0.95	0.96		0.95	-0.06	0.95	0.9	0.8	0.97	EBI
DTH	0.98	0.92	0.89	0.95		-0.02	0.9	0.87	0.86	0.99	DTH
KSA	0.06	-0.08	-0.15	-0.06	-0.02		-0.05	0.26	-0.35	0.02	KSA
JVAL	0.93	0.98	0.94	0.95	0.9	-0.05		0.88	0.71	0.93	JVAL
DNL	0.94	0.86	0.83	0.9	0.87	0.26	0.88		0.62	0.92	DNL
PPH	0.8	0.78	0.77	0.8	0.86	-0.35	0.71	0.62		0.83	PPH
TLTD	1.0	0.94	0.92	0.97	0.99	0.02	0.93	0.92	0.83		TLTD
	DWM	JKL	EES	EBI	DTH	KSA	JVAL	DNL	PPH	TLTD

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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

TLTD	+ 1.0	DWM
TLTD	+ 0.99	DTH
DTH	+ 0.98	DWM
JVAL	+ 0.98	JKL
EBI	+ 0.97	DWM
TLTD	+ 0.97	EBI

High negative correlations

PPH	- 0.35	KSA
KSA	- 0.15	EES
KSA	- 0.08	JKL
KSA	- 0.06	EBI
JVAL	- 0.05	KSA
KSA	- 0.02	DTH

WisdomTree China Constituents Risk-Adjusted Indicators

There is a big difference between WisdomTree Etf performing well and WisdomTree China 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 WisdomTree China'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
DWM	0.56	0.07	0.09	0.15	0.55	(0.61)	1.11	(1.14)	3.11
JKL	0.79	0.10	0.09	0.35	0.74	(0.93)	2.14	(1.41)	4.40
EES	0.75	0.05	0.06	0.08	0.75	(0.85)	2.11	(1.64)	4.61
EBI	0.60	0.06	0.07	0.10	0.65	(0.66)	1.40	(1.35)	3.43
DTH	0.51	0.14	0.22	0.29	0.28	(0.62)	1.09	(0.80)	2.63
KSA	0.71	(0.02)	0.00	(0.07)	0.00	0.00	1.54	(1.57)	4.78
JVAL	0.66	0.08	0.06	0.51	0.74	(0.72)	1.55	(1.48)	3.77
DNL	0.71	0.01	0.00	0.04	0.90	(0.76)	1.66	(1.84)	4.03
PPH	0.75	0.20	0.23	0.38	0.52	(0.88)	1.87	(1.20)	4.58
TLTD	0.60	0.11	0.14	0.18	0.57	(0.69)	1.32	(1.23)	2.93

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