IShares MSCI Correlations

EZA Etf

USD 47.60 0.43 0.90%

The current 90-days correlation between iShares MSCI South and iShares MSCI Malaysia is 0.09 (i.e., Significant diversification). The correlation of IShares MSCI 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.

IShares MSCI Correlation With Market

Good diversification

The correlation between iShares MSCI South and DJI is -0.05 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding iShares MSCI South 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 iShares MSCI South. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation.

Moving together with IShares Etf

0.72	EWU	iShares MSCI United	Pair Corr
0.74	EWY	iShares MSCI South	Pair Corr
0.67	EWL	iShares MSCI Switzerland	Pair Corr
0.7	EWG	iShares MSCI Germany	Pair Corr
0.65	EWQ	iShares MSCI France	Pair Corr
0.92	EWW	iShares MSCI Mexico	Pair Corr
0.7	BND	Vanguard Total Bond	Pair Corr
0.72	VEA	Vanguard FTSE Developed	Pair Corr
0.93	GDXU	MicroSectors Gold Miners	Pair Corr
0.67	MCD	McDonalds	Pair Corr
0.63	IBM	International Business	Pair Corr
0.67	KO	Coca Cola	Pair Corr

Moving against IShares Etf

0.38	VUG	Vanguard Growth Index	Pair Corr
0.37	VB	Vanguard Small Cap	Pair Corr
0.48	CAT	Caterpillar	Pair Corr
0.48	MRK	Merck Company	Pair Corr
0.47	AXP	American Express	Pair Corr
0.42	DIS	Walt Disney	Pair Corr
0.41	BAC	Bank of America	Pair Corr
0.39	HPQ	HP Inc	Pair Corr
0.37	PFE	Pfizer Inc	Pair Corr
0.36	AA	Alcoa Corp	Pair Corr
0.35	HD	Home Depot	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.04	0.59	-0.54	0.32	0.42	0.26	0.9	-0.75	-0.01	META
MSFT	-0.04		-0.62	0.09	-0.79	0.69	0.89	0.1	0.44	-0.52	MSFT
UBER	0.59	-0.62		-0.35	0.8	-0.25	-0.53	0.53	-0.85	0.54	UBER
F	-0.54	0.09	-0.35		-0.05	-0.04	-0.08	-0.39	0.56	0.31	F
T	0.32	-0.79	0.8	-0.05		-0.57	-0.71	0.17	-0.65	0.58	T
A	0.42	0.69	-0.25	-0.04	-0.57		0.79	0.62	0.1	-0.3	A
CRM	0.26	0.89	-0.53	-0.08	-0.71	0.79		0.33	0.24	-0.58	CRM
JPM	0.9	0.1	0.53	-0.39	0.17	0.62	0.33		-0.63	0.07	JPM
MRK	-0.75	0.44	-0.85	0.56	-0.65	0.1	0.24	-0.63		-0.31	MRK
XOM	-0.01	-0.52	0.54	0.31	0.58	-0.3	-0.58	0.07	-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

JPM	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.79	A
A	+ 0.69	MSFT
JPM	+ 0.62	A

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

IShares MSCI Competition Risk-Adjusted Indicators

There is a big difference between IShares Etf performing well and IShares MSCI 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 IShares MSCI'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	1.59	0.02	0.00	(0.05)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.12	(0.15)	0.00	(0.28)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.41	0.19	0.74	2.06	(2.04)	4.72	(3.13)	12.75
F	1.47	0.07	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.04	0.26	0.16	0.40	1.61	(1.11)	1.90	(1.75)	11.66
A	1.15	(0.15)	0.00	(0.23)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.27)	0.00	(0.31)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.09	0.05	0.02	1.74	(1.04)	1.99	(3.35)	6.85
MRK	1.17	(0.11)	0.00	1.52	0.00	0.00	2.07	(1.80)	11.58
XOM	1.06	0.11	0.10	0.17	1.39	(1.08)	2.55	(2.36)	5.89

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