JPMorgan Correlations

BLLD Etf

USD 48.77 0.00 0.00%

The correlation of JPMorgan 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 Correlation With Market

Average diversification

The correlation between JPMorgan and DJI is 0.12 (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.

Build AI portfolio with JPMorgan Etf

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 board of governors.

Moving together with JPMorgan Etf

0.88	FB	ProShares Trust ProShares	Pair Corr
0.78	DUKH	Ocean Park High	Pair Corr
0.61	HEZU	iShares Currency Hedged	Pair Corr
0.7	CSD	Invesco SP Spin	Pair Corr
0.62	PLTM	GraniteShares Platinum	Pair Corr
0.73	CPER	United States Copper	Pair Corr
0.82	FROG	Jfrog	Pair Corr
0.66	EQRR	ProShares Equities for	Pair Corr
0.63	SGOL	abrdn Physical Gold	Pair Corr
0.63	IAU	iShares Gold Trust	Pair Corr
0.78	FSST	Fidelity Sustainability	Pair Corr
0.78	JNK	SPDR Bloomberg High	Pair Corr
0.72	DFAX	Dimensional World	Pair Corr
0.85	CLOX	Series Portfolios Trust	Pair Corr

Moving against JPMorgan Etf

0.85	NFLX	Netflix	Pair Corr
0.39	SIMS	SPDR SP Kensho	Pair Corr
0.39	XKII	SPDR Kensho Intelligent	Pair Corr
0.37	HUM	Humana Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.66	0.53	-0.61	0.51	-0.55	0.22	-0.16	-0.53	-0.6	META
MSFT	0.66		0.83	-0.52	0.37	-0.19	0.05	-0.34	-0.77	-0.61	MSFT
UBER	0.53	0.83		-0.61	0.56	-0.23	-0.18	-0.32	-0.85	-0.6	UBER
F	-0.61	-0.52	-0.61		-0.69	0.49	0.32	0.44	0.68	0.75	F
T	0.51	0.37	0.56	-0.69		-0.45	-0.53	-0.26	-0.51	-0.48	T
A	-0.55	-0.19	-0.23	0.49	-0.45		-0.2	-0.27	0.4	0.19	A
CRM	0.22	0.05	-0.18	0.32	-0.53	-0.2		0.41	0.11	0.2	CRM
JPM	-0.16	-0.34	-0.32	0.44	-0.26	-0.27	0.41		0.38	0.44	JPM
MRK	-0.53	-0.77	-0.85	0.68	-0.51	0.4	0.11	0.38		0.66	MRK
XOM	-0.6	-0.61	-0.6	0.75	-0.48	0.19	0.2	0.44	0.66		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	+ 0.75	F
MRK	+ 0.68	F
MSFT	+ 0.66	META
XOM	+ 0.66	MRK
T	+ 0.56	UBER

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.77	MSFT
T	- 0.69	F
F	- 0.61	UBER
XOM	- 0.61	MSFT
F	- 0.61	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	1.38	(0.27)	0.00	(0.20)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.90	(0.11)	0.00	(0.11)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.46	(0.35)	0.00	(0.25)	0.00	0.00	2.60	(3.82)	10.51
F	1.51	0.13	0.08	0.16	1.68	(1.65)	3.38	(2.63)	16.30
T	0.95	(0.22)	0.00	(0.71)	0.00	0.00	1.61	(2.18)	5.75
A	1.23	0.08	0.06	0.15	1.26	(1.33)	2.34	(2.21)	11.03
CRM	1.54	0.05	0.03	0.13	1.98	(1.51)	3.66	(2.92)	9.91
JPM	1.05	(0.02)	0.00	0.06	1.39	(1.07)	2.00	(1.91)	7.02
MRK	1.44	0.40	0.28	0.54	1.07	(1.80)	4.85	(2.06)	11.45
XOM	0.94	0.05	(0.01)	0.28	0.98	(1.01)	1.96	(1.51)	4.99

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.

Nationwide First Trust EIP Harbor ETF Trust Intelligent Livermore ETF Collaborative Investment Series Innovative Portfolios Exchange Traded Concepts NOPE First Trust PSMG American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

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