IShares JP Correlations

LEMB Etf

USD 36.37 0.13 0.36%

The current 90-days correlation between iShares JP Morgan and Schwab Fundamental International is 0.7 (i.e., 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

Significant diversification

The correlation between iShares JP Morgan and DJI is 0.07 (i.e., Significant 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

0.97	FEMB	First Trust Emerging	Pair Corr
0.83	CBON	VanEck China Bond	Pair Corr
0.97	CEW	WisdomTree Emerging	Pair Corr
0.84	BND	Vanguard Total Bond Sell-off Trend	Pair Corr
0.91	VEA	Vanguard FTSE Developed	Pair Corr
0.7	PFE	Pfizer Inc Fiscal Year End 4th of February 2025	Pair Corr
0.67	MMM	3M Company Fiscal Year End 28th of January 2025	Pair Corr
0.66	VZ	Verizon Communications Aggressive Push	Pair Corr

Moving against IShares Etf

0.72	STCE	Schwab Strategic Trust	Pair Corr
0.51	VUG	Vanguard Growth Index Sell-off Trend	Pair Corr
0.46	VB	Vanguard Small Cap	Pair Corr
0.45	VTI	Vanguard Total Stock	Pair Corr
0.45	VO	Vanguard Mid Cap	Pair Corr
0.43	SPY	SPDR SP 500	Pair Corr
0.43	IVV	iShares Core SP	Pair Corr
0.43	VOO	Vanguard SP 500	Pair Corr
0.4	PPA	Invesco Aerospace Defense	Pair Corr
0.76	BAC	Bank of America Fiscal Year End 10th of January 2025	Pair Corr
0.59	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.58	CSCO	Cisco Systems	Pair Corr
0.55	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.55	DIS	Walt Disney Aggressive Push	Pair Corr
0.51	WMT	Walmart Aggressive Push	Pair Corr
0.4	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.27	0.58	-0.01	0.64	0.02	0.73	0.31	-0.58	0.74	META
MSFT	0.27		0.22	0.12	0.18	-0.03	0.04	-0.16	0.1	-0.18	MSFT
UBER	0.58	0.22		0.0	0.09	0.23	0.12	-0.03	-0.01	0.42	UBER
F	-0.01	0.12	0.0		-0.03	-0.36	0.33	0.61	-0.22	0.27	F
T	0.64	0.18	0.09	-0.03		-0.44	0.7	0.43	-0.73	0.38	T
A	0.02	-0.03	0.23	-0.36	-0.44		-0.45	-0.64	0.62	0.02	A
CRM	0.73	0.04	0.12	0.33	0.7	-0.45		0.8	-0.92	0.67	CRM
JPM	0.31	-0.16	-0.03	0.61	0.43	-0.64	0.8		-0.82	0.48	JPM
MRK	-0.58	0.1	-0.01	-0.22	-0.73	0.62	-0.92	-0.82		-0.55	MRK
XOM	0.74	-0.18	0.42	0.27	0.38	0.02	0.67	0.48	-0.55		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	+ 0.8	CRM
XOM	+ 0.74	META
CRM	+ 0.73	META
CRM	+ 0.7	T
XOM	+ 0.67	CRM
T	+ 0.64	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.73	T
JPM	- 0.64	A
MRK	- 0.58	META
XOM	- 0.55	MRK

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	1.07	0.05	0.02	0.16	1.41	(1.15)	2.62	(3.15)	8.02
MSFT	0.89	(0.10)	0.00	(0.05)	0.00	0.00	2.08	(2.03)	8.19
UBER	1.56	(0.15)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.40	(0.09)	(0.02)	0.02	2.20	(1.37)	2.53	(2.90)	11.72
T	0.91	0.26	0.16	(47.59)	0.84	(1.03)	2.56	(1.72)	6.47
A	1.09	(0.16)	0.00	(0.27)	0.00	0.00	2.11	(2.42)	9.02
CRM	1.25	0.24	0.20	0.30	0.94	(1.47)	3.18	(1.91)	9.09
JPM	1.09	0.03	0.06	0.10	1.43	(1.11)	2.05	(2.00)	15.87
MRK	0.83	(0.26)	0.00	(1.64)	0.00	0.00	1.68	(2.13)	4.89
XOM	1.03	0.04	0.00	0.15	1.22	(1.09)	2.14	(2.09)	5.78

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