IShares JP Correlations

LEMB Etf

USD 37.00 0.12 0.33%

The current 90-days correlation between iShares JP Morgan and SPDR Bloomberg Emerging is -0.15 (i.e., Good 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

Average diversification

The correlation between iShares JP Morgan and DJI is 0.11 (i.e., Average 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.

Check out Correlation Analysis 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 signals in population.

Moving together with IShares Etf

0.87	FEMB	First Trust Emerging	Pair Corr
0.65	CBON	VanEck China Bond	Pair Corr
0.81	CEW	WisdomTree Emerging	Pair Corr
0.75	JNJ	Johnson Johnson	Pair Corr

Moving against IShares Etf

0.69	VCAR	Simplify Volt RoboCar Symbol Change	Pair Corr
0.59	TSLL	Direxion Shares ETF	Pair Corr
0.56	BTCO	Invesco Galaxy Bitcoin Low Volatility	Pair Corr
0.49	BITX	Volatility Shares Trust Low Volatility	Pair Corr
0.45	CSCO	Cisco Systems	Pair Corr
0.41	AXP	American Express	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.73	-0.47	-0.52	0.54	0.75	0.54	0.6	-0.18	-0.65	META
MSFT	0.73		-0.47	-0.25	0.54	0.46	0.64	0.36	-0.04	-0.48	MSFT
UBER	-0.47	-0.47		0.65	-0.31	-0.21	-0.67	-0.29	0.36	0.78	UBER
F	-0.52	-0.25	0.65		0.06	-0.32	-0.13	-0.07	0.12	0.9	F
T	0.54	0.54	-0.31	0.06		0.36	0.71	0.55	-0.17	-0.16	T
A	0.75	0.46	-0.21	-0.32	0.36		0.31	0.7	-0.22	-0.38	A
CRM	0.54	0.64	-0.67	-0.13	0.71	0.31		0.56	-0.37	-0.37	CRM
JPM	0.6	0.36	-0.29	-0.07	0.55	0.7	0.56		-0.59	-0.24	JPM
MRK	-0.18	-0.04	0.36	0.12	-0.17	-0.22	-0.37	-0.59		0.19	MRK
XOM	-0.65	-0.48	0.78	0.9	-0.16	-0.38	-0.37	-0.24	0.19		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

XOM	+ 0.9	F
XOM	+ 0.78	UBER
A	+ 0.75	META
MSFT	+ 0.73	META
CRM	+ 0.71	T
JPM	+ 0.7	A

High negative correlations

CRM	- 0.67	UBER
XOM	- 0.65	META
MRK	- 0.59	JPM
F	- 0.52	META
XOM	- 0.48	MSFT
UBER	- 0.47	MSFT

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	1.39	0.25	0.13	0.74	1.40	(1.59)	3.43	(2.31)	7.43
MSFT	1.02	0.06	(0.01)	0.63	1.57	(1.01)	2.20	(2.14)	7.31
UBER	1.58	(0.26)	0.00	(2.57)	0.00	0.00	2.67	(5.35)	12.29
F	1.49	(0.13)	0.00	(0.15)	0.00	0.00	2.57	(2.90)	11.21
T	1.01	0.10	0.05	0.27	1.10	(1.12)	1.91	(1.84)	7.94
A	1.18	0.12	0.06	0.33	1.13	(1.41)	2.81	(2.16)	8.06
CRM	1.51	0.32	0.16	1.11	1.42	(1.76)	3.70	(2.88)	14.80
JPM	1.05	0.26	0.16	1.00	1.05	(1.24)	1.92	(1.42)	15.87
MRK	1.03	(0.13)	0.00	(0.52)	0.00	0.00	2.00	(2.13)	5.24
XOM	0.82	(0.18)	0.00	(0.33)	0.00	0.00	1.71	(1.74)	6.06

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