JPMorgan Correlations

JCTR Etf

USD 89.86 0.00 0.00%

The current 90-days correlation between JPMorgan and Nuveen is -0.12 (i.e., Good diversification). 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. If the correlation is 0, the equities are not correlated; they are entirely random.

JPMorgan Correlation With Market

Very poor diversification

The correlation between JPMorgan and DJI is 0.82 (i.e., Very poor 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 Risk vs Return Analysis 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

0.71	VTI	Vanguard Total Stock Sell-off Trend	Pair Corr
0.67	SPY	SPDR SP 500 Sell-off Trend	Pair Corr
0.67	IVV	iShares Core SP	Pair Corr
0.83	VIG	Vanguard Dividend	Pair Corr
0.62	VV	Vanguard Large Cap	Pair Corr
0.87	RSP	Invesco SP 500	Pair Corr
0.68	IWB	iShares Russell 1000 Sell-off Trend	Pair Corr
0.85	DFAC	Dimensional Core Equity Sell-off Trend	Pair Corr
0.9	SPLG	SSgA Symbol Change	Pair Corr
0.88	GDXU	MicroSectors Gold Miners Trending	Pair Corr
0.87	MUU	Direxion Daily MU Upward Rally	Pair Corr
0.88	AGQ	ProShares Ultra Silver Trending	Pair Corr
0.86	MULL	GraniteShares 2x Long Upward Rally	Pair Corr
0.9	JNUG	Direxion Daily Junior	Pair Corr
0.77	KORU	Direxion Daily South	Pair Corr
0.91	NUGT	Direxion Daily Gold	Pair Corr
0.82	SHNY	Microsectors Gold Trending	Pair Corr
0.9	GDMN	WisdomTree Efficient Gold Low Volatility	Pair Corr
0.92	SLVR	Sprott Silver Miners	Pair Corr
0.83	CAT	Caterpillar Earnings Call Today	Pair Corr
0.87	DD	Dupont De Nemours	Pair Corr
0.82	XOM	Exxon Mobil Corp Earnings Call Tomorrow	Pair Corr
0.66	CVX	Chevron Corp Earnings Call Tomorrow	Pair Corr
0.89	MRK	Merck Company Earnings Call This Week	Pair Corr
0.93	AA	Alcoa Corp	Pair Corr

Moving against JPMorgan Etf

0.87	HPQ	HP Inc	Pair Corr
0.78	MSFT	Microsoft Aggressive Push	Pair Corr
0.4	MMM	3M Company	Pair Corr
0.39	PG	Procter Gamble	Pair Corr

Related Correlations Analysis

	NTZG	IWTR	RSPY	KEM	IXSE	FBZ	SMDY	IWIN	EV	NSCS
NTZG		0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NTZG
IWTR	0.0		0.0	-0.5	0.0	0.71	0.0	0.0	-0.15	0.38	IWTR
RSPY	0.0	0.0		0.0	0.0	0.0	0.0	0.0	0.0	0.0	RSPY
KEM	0.0	-0.5	0.0		0.0	-0.33	0.0	0.0	-0.12	-0.41	KEM
IXSE	0.0	0.0	0.0	0.0		0.0	0.0	0.0	0.0	0.0	IXSE
FBZ	0.0	0.71	0.0	-0.33	0.0		0.0	0.0	-0.47	0.4	FBZ
SMDY	0.0	0.0	0.0	0.0	0.0	0.0		0.0	0.0	0.0	SMDY
IWIN	0.0	0.0	0.0	0.0	0.0	0.0	0.0		0.0	0.0	IWIN
EV	0.0	-0.15	0.0	-0.12	0.0	-0.47	0.0	0.0		-0.54	EV
NSCS	0.0	0.38	0.0	-0.41	0.0	0.4	0.0	0.0	-0.54		NSCS
	NTZG	IWTR	RSPY	KEM	IXSE	FBZ	SMDY	IWIN	EV	NSCS

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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

FBZ	+ 0.71	IWTR
NSCS	+ 0.4	FBZ
NSCS	+ 0.38	IWTR
IWTR	+ 0.0	NTZG
RSPY	+ 0.0	NTZG
KEM	+ 0.0	NTZG

High negative correlations

NSCS	- 0.54	EV
KEM	- 0.5	IWTR
EV	- 0.47	FBZ
NSCS	- 0.41	KEM
FBZ	- 0.33	KEM
EV	- 0.15	IWTR

JPMorgan Constituents 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
NTZG	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
IWTR	0.56	0.09	0.04	0.96	0.43	(0.67)	1.45	(0.85)	3.55
RSPY	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
KEM	0.98	0.01	0.00	0.04	0.00	0.00	2.79	(1.87)	8.83
IXSE	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
FBZ	0.98	0.21	0.12	2.99	0.87	(1.14)	2.50	(1.84)	5.08
SMDY	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
IWIN	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
EV	1.14	(0.11)	0.00	0.33	0.00	0.00	2.11	(2.75)	10.64
NSCS	1.30	0.02	(0.01)	0.13	2.02	(1.40)	2.53	(2.72)	14.72

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.

NTZG IShares Tuttle Capital Management KraneShares IXSE First Trust Syntax Amplify NEOS Investment Management Nuveen American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

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