JPMorgan Correlations

AMJ Etf

USD 28.30 4.47 18.76%

The current 90-days correlation between JPMorgan and Alerian MLP ETF is 0.14 (i.e., Average diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as JPMorgan moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if JPMorgan moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

JPMorgan Correlation With Market

Average diversification

The correlation between JPMorgan and DJI is 0.15 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios. 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 JPMorgan Etf

0.9	EMLP	First Trust North	Pair Corr
0.77	MLPA	Global X MLP	Pair Corr
0.89	MLPX	Global X MLP	Pair Corr
0.9	TPYP	Tortoise North American	Pair Corr
0.78	AMZA	InfraCap MLP ETF	Pair Corr
0.74	MLPB	UBS AG London	Pair Corr
0.88	ATMP	Barclays ETN Select	Pair Corr
0.89	ENFR	Alerian Energy Infra	Pair Corr
0.75	AMUB	UBS AG London	Pair Corr
0.66	MAPP	Harbor ETF Trust	Pair Corr
0.81	EVUS	iShares ESG Aware	Pair Corr
0.73	XOP	SPDR SP Oil	Pair Corr
0.85	EOS	Eaton Vance Enhanced	Pair Corr
0.86	VBK	Vanguard Small Cap	Pair Corr
0.86	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.86	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr
0.74	INTC	Intel Fiscal Year End 23rd of January 2025	Pair Corr
0.76	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.85	JPM	JPMorgan Chase Fiscal Year End 10th of January 2025	Pair Corr
0.7	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr
0.88	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr

Moving against JPMorgan Etf

0.75	HART	IQ Healthy Hearts	Pair Corr
0.58	GREI	Goldman Sachs Future	Pair Corr
0.42	PRME	Prime Medicine, Common	Pair Corr
0.88	BITI	ProShares Trust	Pair Corr
0.82	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.8	PFE	Pfizer Inc Fiscal Year End 4th of February 2025	Pair Corr
0.77	JNJ	Johnson Johnson Sell-off Trend	Pair Corr
0.77	KO	Coca Cola Fiscal Year End 11th of February 2025	Pair Corr
0.56	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		0.26	0.55	0.07	0.53	0.05	0.64	0.28	-0.53	0.73	META
MSFT	0.26		0.21	0.17	0.16	-0.01	0.03	-0.11	0.13	-0.2	MSFT
UBER	0.55	0.21		-0.06	-0.09	0.27	-0.03	-0.16	0.09	0.35	UBER
F	0.07	0.17	-0.06		0.28	-0.41	0.5	0.7	-0.37	0.32	F
T	0.53	0.16	-0.09	0.28		-0.5	0.81	0.64	-0.79	0.39	T
A	0.05	-0.01	0.27	-0.41	-0.5		-0.46	-0.6	0.63	0.0	A
CRM	0.64	0.03	-0.03	0.5	0.81	-0.46		0.86	-0.91	0.65	CRM
JPM	0.28	-0.11	-0.16	0.7	0.64	-0.6	0.86		-0.83	0.47	JPM
MRK	-0.53	0.13	0.09	-0.37	-0.79	0.63	-0.91	-0.83		-0.56	MRK
XOM	0.73	-0.2	0.35	0.32	0.39	0.0	0.65	0.47	-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	+ 0.86	CRM
CRM	+ 0.81	T
XOM	+ 0.73	META
JPM	+ 0.7	F
XOM	+ 0.65	CRM
CRM	+ 0.64	META

High negative correlations

MRK	- 0.91	CRM
MRK	- 0.83	JPM
MRK	- 0.79	T
JPM	- 0.6	A
XOM	- 0.56	MRK
MRK	- 0.53	META

JPMorgan Competition Risk-Adjusted Indicators

There is a big difference between JPMorgan Etf performing well and JPMorgan 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'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	0.07	0.02	0.23	1.41	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.04)	(0.05)	0.07	1.50	(0.86)	2.09	(1.85)	8.19
UBER	1.61	(0.11)	(0.04)	0.02	2.32	(1.70)	2.69	(2.53)	20.10
F	1.42	(0.15)	(0.04)	0.03	2.23	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(7.83)	0.86	(1.06)	2.56	(1.72)	6.47
A	1.17	(0.09)	0.00	(0.06)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.31	0.23	0.18	0.34	1.08	(1.53)	3.18	(1.91)	9.98
JPM	1.12	(0.04)	0.05	0.11	1.38	(1.23)	2.05	(2.00)	15.87
MRK	0.91	(0.24)	0.00	(0.86)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.00	(0.03)	(0.07)	0.06	1.31	(1.04)	2.10	(2.09)	5.74

JPMorgan Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with JPMorgan etf to make a market-neutral strategy. Peer analysis of JPMorgan could also be used in its relative valuation, which is a method of valuing JPMorgan by comparing valuation metrics with similar companies.

Alerian MLP ETF WisdomTree Emerging Markets Global X MLP First Trust North First Trust Natural American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne CVS Health Corp Chevron Corp Home Depot International Business Machines

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