JPMorgan Chase Correlations

AMJB Etf

30.94 0.11 0.36%

The current 90-days correlation between JPMorgan Chase Financial and First Trust Exchange Traded is 0.13 (i.e., Average diversification). The correlation of JPMorgan Chase 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.

JPMorgan Chase Correlation With Market

Very weak diversification

The correlation between JPMorgan Chase Financial and DJI is 0.48 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Financial and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in JPMorgan Chase Financial. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in inflation.

Moving together with JPMorgan Etf

0.89	EMLP	First Trust North	Pair Corr
0.73	AMJ	JPMorgan	Pair Corr
0.99	MLPA	Global X MLP	Pair Corr
0.87	MLPX	Global X MLP	Pair Corr
0.87	TPYP	Tortoise North American	Pair Corr
0.99	AMZA	InfraCap MLP ETF	Pair Corr
0.99	MLPB	UBS AG London	Pair Corr
0.92	ATMP	Barclays ETN Select	Pair Corr
0.88	ENFR	Alerian Energy Infra	Pair Corr
1.0	AMUB	UBS AG London	Pair Corr
0.64	OIH	VanEck Oil Services	Pair Corr
0.83	ARKW	ARK Next Generation	Pair Corr
0.63	WTMF	WisdomTree Managed	Pair Corr
0.76	EWC	iShares MSCI Canada	Pair Corr
0.81	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.64	INTC	Intel Fiscal Year End 23rd of January 2025	Pair Corr
0.62	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.81	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.77	BAC	Bank of America Aggressive Push	Pair Corr
0.66	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr
0.63	HPQ	HP Inc	Pair Corr
0.82	WMT	Walmart Aggressive Push	Pair Corr
0.88	DIS	Walt Disney Aggressive Push	Pair Corr

Moving against JPMorgan Etf

0.59	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.57	BA	Boeing Fiscal Year End 29th of January 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.56	0.02	0.58	0.03	0.65	0.28	-0.54	0.71	META
MSFT	0.28		0.23	0.14	0.19	-0.02	0.03	-0.13	0.11	-0.19	MSFT
UBER	0.56	0.23		-0.04	-0.02	0.27	0.01	-0.13	0.06	0.35	UBER
F	0.02	0.14	-0.04		0.14	-0.4	0.44	0.67	-0.31	0.32	F
T	0.58	0.19	-0.02	0.14		-0.51	0.77	0.56	-0.78	0.37	T
A	0.03	-0.02	0.27	-0.4	-0.51		-0.48	-0.64	0.64	-0.01	A
CRM	0.65	0.03	0.01	0.44	0.77	-0.48		0.85	-0.92	0.66	CRM
JPM	0.28	-0.13	-0.13	0.67	0.56	-0.64	0.85		-0.83	0.49	JPM
MRK	-0.54	0.11	0.06	-0.31	-0.78	0.64	-0.92	-0.83		-0.56	MRK
XOM	0.71	-0.19	0.35	0.32	0.37	-0.01	0.66	0.49	-0.56		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	+ 0.85	CRM
CRM	+ 0.77	T
XOM	+ 0.71	META
JPM	+ 0.67	F
XOM	+ 0.66	CRM
CRM	+ 0.65	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.83	JPM
MRK	- 0.78	T
JPM	- 0.64	A
XOM	- 0.56	MRK
MRK	- 0.54	META

JPMorgan Chase Competition Risk-Adjusted Indicators

There is a big difference between JPMorgan Etf performing well and JPMorgan Chase 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 JPMorgan Chase'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	1.06	0.06	0.02	0.21	1.39	(1.15)	2.62	(3.15)	8.02
MSFT	0.90	(0.03)	(0.04)	0.07	1.49	(0.86)	2.09	(1.85)	8.19
UBER	1.62	(0.13)	(0.05)	0.00	2.26	(1.79)	2.69	(2.53)	20.10
F	1.43	(0.15)	(0.04)	0.02	2.24	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(9.48)	0.86	(1.06)	2.56	(1.72)	6.47
A	1.14	(0.13)	0.00	(0.12)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.29	0.26	0.22	0.36	0.91	(1.53)	3.18	(1.91)	9.09
JPM	1.12	(0.01)	0.06	0.12	1.42	(1.19)	2.05	(2.00)	15.87
MRK	0.89	(0.23)	0.00	(0.76)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.02	(0.06)	(0.09)	0.00	1.34	(1.07)	2.10	(2.09)	5.74

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