IShares JP Correlations

LEMB Etf

USD 40.83 0.35 0.86%

The current 90-days correlation between iShares JP Morgan and SPDR Bloomberg Emerging is 0.89 (i.e., Very poor 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

Modest diversification

The correlation between iShares JP Morgan and DJI is 0.27 (i.e., Modest 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 bureau of economic analysis.

Moving together with IShares Etf

0.97	FEMB	First Trust Emerging	Pair Corr
0.87	CEW	WisdomTree Emerging	Pair Corr
0.67	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.89	USD	ProShares Ultra Semi	Pair Corr
0.91	TECL	Direxion Daily Technology	Pair Corr
0.91	ROM	ProShares Ultra Tech	Pair Corr
0.91	QLD	ProShares Ultra QQQ	Pair Corr
0.93	SMH	VanEck Semiconductor ETF	Pair Corr
0.93	SOXX	iShares Semiconductor ETF	Pair Corr
0.92	SPXL	Direxion Daily SP500	Pair Corr
0.92	UPRO	ProShares UltraPro SP500	Pair Corr
0.68	PLTG	Leverage Shares 2X	Pair Corr
0.92	MDLV	EA Series Trust	Pair Corr
0.91	TNA	Direxion Daily Small Buyout Trend	Pair Corr
0.93	IWV	iShares Russell 3000	Pair Corr
0.86	WTTSX	Wisdomtree Digital Trust	Pair Corr
0.71	VTEB	Vanguard Tax Exempt	Pair Corr
0.66	NYF	iShares New York	Pair Corr
0.88	SFYF	SoFi Social 50	Pair Corr
0.93	SIXD	AIM ETF Products	Pair Corr
0.92	IWO	iShares Russell 2000	Pair Corr
0.95	EMM	Global X Funds	Pair Corr
0.88	IBMR	iShares Trust	Pair Corr
0.86	SPTI	SPDR Portfolio Inter	Pair Corr
0.85	XRT	SPDR SP Retail	Pair Corr
0.81	SPRX	Spear Alpha ETF	Pair Corr
0.83	YMAR	First Trust Exchange	Pair Corr
0.92	SSEUF	SSgA SPDR ETFs	Pair Corr
0.87	GSFP	Goldman Sachs Future	Pair Corr
0.92	DRSK	Aptus Defined Risk	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.89	0.48	0.66	0.59	0.49	-0.76	0.76	0.59	0.32	META
MSFT	0.89		0.51	0.73	0.36	0.42	-0.67	0.92	0.64	0.43	MSFT
UBER	0.48	0.51		0.84	0.4	0.54	-0.15	0.63	0.65	0.38	UBER
F	0.66	0.73	0.84		0.43	0.63	-0.43	0.81	0.83	0.57	F
T	0.59	0.36	0.4	0.43		0.47	-0.48	0.38	0.54	0.07	T
A	0.49	0.42	0.54	0.63	0.47		-0.13	0.55	0.76	0.67	A
CRM	-0.76	-0.67	-0.15	-0.43	-0.48	-0.13		-0.45	-0.41	-0.07	CRM
JPM	0.76	0.92	0.63	0.81	0.38	0.55	-0.45		0.73	0.52	JPM
MRK	0.59	0.64	0.65	0.83	0.54	0.76	-0.41	0.73		0.64	MRK
XOM	0.32	0.43	0.38	0.57	0.07	0.67	-0.07	0.52	0.64		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	+ 0.92	MSFT
MSFT	+ 0.89	META
F	+ 0.84	UBER
MRK	+ 0.83	F
JPM	+ 0.81	F
JPM	+ 0.76	META

High negative correlations

CRM	- 0.76	META
CRM	- 0.67	MSFT
CRM	- 0.48	T
JPM	- 0.45	CRM
CRM	- 0.43	F
MRK	- 0.41	CRM

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	0.19	0.13	0.32	1.12	(1.70)	3.16	(2.27)	14.28
MSFT	0.72	0.11	0.07	0.32	0.64	(0.81)	1.80	(1.42)	5.71
UBER	1.40	0.02	0.00	0.12	1.69	(1.49)	2.72	(3.36)	11.37
F	1.31	0.05	0.04	0.13	1.52	(1.34)	2.55	(2.36)	7.46
T	0.76	0.05	(0.03)	0.50	0.98	(0.75)	1.63	(1.96)	5.41
A	1.41	(0.04)	0.01	0.07	1.76	(1.45)	2.82	(2.60)	9.19
CRM	1.25	(0.34)	0.00	(0.17)	0.00	0.00	2.32	(3.26)	6.27
JPM	0.83	0.07	0.07	0.17	0.89	(0.91)	1.78	(1.51)	5.19
MRK	1.14	0.11	0.06	0.22	1.37	(1.12)	2.90	(1.91)	7.79
XOM	1.00	0.08	0.00	0.59	1.24	(1.00)	2.14	(2.07)	6.25

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