IShares JP Correlations

EMB Etf

USD 96.35 0.20 0.21%

The current 90-days correlation between iShares JP Morgan and SPDR Bloomberg Emerging is 0.59 (i.e., Very weak diversification). The correlation of IShares JP 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 JP Correlation With Market

Very weak diversification

The correlation between iShares JP Morgan 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 iShares JP Morgan and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with IShares Etf

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in iShares JP Morgan. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices.

Moving together with IShares Etf

0.97	PCY	Invesco Emerging Markets	Pair Corr
0.95	XEMD	Bondbloxx ETF Trust	Pair Corr
0.99	EMHC	SPDR Bloomberg Barclays	Pair Corr
0.8	VTI	Vanguard Total Stock	Pair Corr
0.83	SPY	SPDR SP 500	Pair Corr
0.83	IVV	iShares Core SP	Pair Corr
0.87	BND	Vanguard Total Bond	Pair Corr
0.71	VTV	Vanguard Value Index Sell-off Trend	Pair Corr
0.78	VUG	Vanguard Growth Index	Pair Corr
0.82	VEA	Vanguard FTSE Developed	Pair Corr
0.82	VWO	Vanguard FTSE Emerging	Pair Corr
0.62	IWMI	NEOS Russell 2000 Low Volatility	Pair Corr
0.75	TCAI	Tortoise Capital Series	Pair Corr
0.8	CAT	Caterpillar	Pair Corr
0.82	GE	GE Aerospace	Pair Corr
0.8	AXP	American Express	Pair Corr
0.65	CSCO	Cisco Systems	Pair Corr
0.76	AA	Alcoa Corp	Pair Corr
0.61	KO	Coca Cola Aggressive Push	Pair Corr

Moving against IShares Etf

0.75	VZ	Verizon Communications	Pair Corr
0.73	T	ATT Inc	Pair Corr
0.7	BA	Boeing	Pair Corr
0.63	PG	Procter Gamble	Pair Corr
0.58	DIS	Walt Disney	Pair Corr
0.47	HPQ	HP Inc Earnings Call Tomorrow	Pair Corr
0.42	CVX	Chevron Corp Sell-off Trend	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.44	0.58	-0.72	0.62	-0.73	0.37	-0.06	-0.7	-0.58	META
MSFT	0.44		0.7	0.01	-0.22	0.05	0.55	0.34	-0.29	-0.09	MSFT
UBER	0.58	0.7		-0.31	0.13	-0.44	0.41	0.5	-0.59	-0.23	UBER
F	-0.72	0.01	-0.31		-0.69	0.79	-0.01	0.17	0.61	0.65	F
T	0.62	-0.22	0.13	-0.69		-0.81	-0.07	-0.19	-0.57	-0.5	T
A	-0.73	0.05	-0.44	0.79	-0.81		-0.08	-0.02	0.71	0.43	A
CRM	0.37	0.55	0.41	-0.01	-0.07	-0.08		0.01	-0.41	-0.22	CRM
JPM	-0.06	0.34	0.5	0.17	-0.19	-0.02	0.01		-0.21	0.32	JPM
MRK	-0.7	-0.29	-0.59	0.61	-0.57	0.71	-0.41	-0.21		0.56	MRK
XOM	-0.58	-0.09	-0.23	0.65	-0.5	0.43	-0.22	0.32	0.56		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Please upgrade your account to get full access to Macroaxis premium features

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

A	+ 0.79	F
MRK	+ 0.71	A
UBER	+ 0.7	MSFT
XOM	+ 0.65	F
T	+ 0.62	META
MRK	+ 0.61	F

High negative correlations

A	- 0.81	T
A	- 0.73	META
F	- 0.72	META
MRK	- 0.7	META
T	- 0.69	F
MRK	- 0.59	UBER

IShares JP Competition Risk-Adjusted Indicators

There is a big difference between IShares Etf performing well and IShares JP 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 JP'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	1.28	(0.33)	0.00	(0.42)	0.00	0.00	1.87	(2.72)	13.52
MSFT	0.86	(0.10)	0.00	(0.12)	0.00	0.00	1.85	(2.19)	5.08
UBER	1.46	(0.23)	0.00	(0.21)	0.00	0.00	3.34	(3.30)	10.91
F	1.49	0.15	0.08	0.12	1.70	(1.72)	3.38	(2.35)	16.30
T	0.99	(0.17)	0.00	(0.42)	0.00	0.00	1.84	(2.32)	6.25
A	1.27	0.40	0.28	0.36	0.99	(1.44)	3.93	(2.15)	11.03
CRM	1.62	(0.12)	0.00	(0.09)	0.00	0.00	2.93	(3.61)	9.91
JPM	0.87	(0.01)	0.00	0.01	1.32	(0.80)	1.67	(1.91)	5.76
MRK	1.31	0.22	0.16	0.40	1.13	(1.71)	3.84	(2.36)	11.45
XOM	0.92	0.07	0.04	0.38	1.11	(0.87)	1.77	(1.93)	4.63

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2025 Macroaxis LLC