IShares JP Correlations

LEMB Etf

USD 42.22 0.03 0.07%

The current 90-days correlation between iShares JP Morgan and Morningstar Unconstrained Allocation is -0.09 (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

Weak diversification

The correlation between iShares JP Morgan and DJI is 0.3 (i.e., 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 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 industry.

Moving together with IShares Etf

0.9	FEMB	First Trust Emerging	Pair Corr
0.92	CEW	WisdomTree Emerging	Pair Corr
0.72	VTV	Vanguard Value Index	Pair Corr
0.7	JEPQ	JPMorgan Nasdaq Equity	Pair Corr
0.8	MEDI	Harbor Health Care	Pair Corr
0.83	FIAX	Nicholas Fixed Income	Pair Corr
0.74	BFEB	Innovator SP 500	Pair Corr
0.92	ELD	WisdomTree Emerging	Pair Corr
0.82	IBTI	iShares iBonds Dec	Pair Corr
0.78	FELV	Fidelity Covington Trust	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.64	0.66	-0.71	0.69	-0.72	0.23	-0.06	-0.67	-0.65	META
MSFT	0.64		0.83	-0.44	0.25	-0.32	0.26	-0.18	-0.73	-0.59	MSFT
UBER	0.66	0.83		-0.59	0.48	-0.59	0.18	0.09	-0.82	-0.6	UBER
F	-0.71	-0.44	-0.59		-0.73	0.73	0.19	0.24	0.71	0.76	F
T	0.69	0.25	0.48	-0.73		-0.8	-0.31	0.04	-0.55	-0.47	T
A	-0.72	-0.32	-0.59	0.73	-0.8		-0.05	-0.2	0.72	0.41	A
CRM	0.23	0.26	0.18	0.19	-0.31	-0.05		0.18	-0.16	0.03	CRM
JPM	-0.06	-0.18	0.09	0.24	0.04	-0.2	0.18		0.03	0.24	JPM
MRK	-0.67	-0.73	-0.82	0.71	-0.55	0.72	-0.16	0.03		0.63	MRK
XOM	-0.65	-0.59	-0.6	0.76	-0.47	0.41	0.03	0.24	0.63		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

UBER	+ 0.83	MSFT
XOM	+ 0.76	F
A	+ 0.73	F
MRK	+ 0.72	A
MRK	+ 0.71	F
T	+ 0.69	META

High negative correlations

MRK	- 0.82	UBER
A	- 0.8	T
T	- 0.73	F
MRK	- 0.73	MSFT
A	- 0.72	META
F	- 0.71	META

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	1.38	(0.29)	0.00	(0.23)	0.00	0.00	2.26	(2.72)	13.52
MSFT	0.95	(0.16)	0.00	(0.16)	0.00	0.00	1.85	(2.50)	5.08
UBER	1.61	(0.30)	0.00	(0.22)	0.00	0.00	3.34	(4.99)	10.91
F	1.47	0.16	0.10	0.18	1.67	(1.66)	3.38	(2.35)	16.30
T	0.95	(0.31)	0.00	(0.95)	0.00	0.00	1.61	(2.18)	5.75
A	1.27	0.13	0.09	0.19	1.25	(1.40)	2.34	(2.21)	11.03
CRM	1.59	0.00	0.00	0.08	2.04	(1.60)	3.66	(2.92)	9.91
JPM	0.98	(0.02)	0.00	0.06	1.44	(0.93)	2.00	(1.91)	7.02
MRK	1.38	0.27	0.19	0.42	1.09	(1.78)	4.85	(2.06)	11.45
XOM	0.93	0.07	0.01	0.52	0.92	(0.99)	1.96	(1.41)	4.63

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