JP Morgan Correlations

JPIE Etf

USD 45.91 0.02 0.04%

The current 90-days correlation between JP Morgan Exchange and JPMorgan Core Plus is 0.71 (i.e., Poor diversification). The correlation of JP Morgan 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.

JP Morgan Correlation With Market

Average diversification

The correlation between JP Morgan Exchange Traded 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 JP Morgan Exchange Traded and DJI in the same portfolio, assuming nothing else is changed.

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in JP Morgan Exchange Traded. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving together with JPIE Etf

0.68	AXSIX	Axonic Strategic Income	Pair Corr
0.88	SMCRX	ALPSSmith Credit Opp	Pair Corr
0.87	SMCVX	ALPSSmith Credit Opp	Pair Corr
0.9	SMCAX	DEUTSCHE MID CAP	Pair Corr
0.87	SMCCX	DEUTSCHE MID CAP	Pair Corr
0.7	AFIF	Anfield Universal Fixed	Pair Corr
0.62	MUSI	American Century Mul	Pair Corr
0.63	IBM	International Business Fiscal Year End 22nd of January 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.32	0.11	0.06	0.47	0.22	0.66	0.44	-0.43	0.42	META
MSFT	0.32		-0.24	0.08	0.27	0.13	0.2	0.12	0.15	-0.51	MSFT
UBER	0.11	-0.24		0.02	-0.55	0.18	-0.38	-0.34	0.29	0.39	UBER
F	0.06	0.08	0.02		0.33	-0.45	0.43	0.61	-0.42	0.35	F
T	0.47	0.27	-0.55	0.33		-0.34	0.87	0.85	-0.74	0.06	T
A	0.22	0.13	0.18	-0.45	-0.34		-0.29	-0.48	0.58	-0.05	A
CRM	0.66	0.2	-0.38	0.43	0.87	-0.29		0.92	-0.85	0.31	CRM
JPM	0.44	0.12	-0.34	0.61	0.85	-0.48	0.92		-0.87	0.28	JPM
MRK	-0.43	0.15	0.29	-0.42	-0.74	0.58	-0.85	-0.87		-0.41	MRK
XOM	0.42	-0.51	0.39	0.35	0.06	-0.05	0.31	0.28	-0.41		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	+ 0.92	CRM
CRM	+ 0.87	T
JPM	+ 0.85	T
CRM	+ 0.66	META
JPM	+ 0.61	F
MRK	+ 0.58	A

High negative correlations

MRK	- 0.87	JPM
MRK	- 0.85	CRM
MRK	- 0.74	T
T	- 0.55	UBER
XOM	- 0.51	MSFT
JPM	- 0.48	A

JP Morgan Competition Risk-Adjusted Indicators

There is a big difference between JPIE Etf performing well and JP Morgan 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 JP Morgan'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	1.15	0.26	0.13	0.63	1.17	(1.34)	3.22	(1.87)	8.02
MSFT	0.88	0.07	0.01	0.23	1.35	(0.87)	2.09	(1.57)	8.19
UBER	1.78	(0.22)	0.00	(0.07)	0.00	0.00	2.69	(2.88)	20.41
F	1.43	(0.15)	(0.04)	0.01	2.22	(1.41)	2.53	(2.90)	11.21
T	0.98	0.15	0.03	3.35	1.06	(1.06)	2.36	(1.99)	6.74
A	1.22	0.01	(0.04)	0.14	1.48	(1.28)	2.71	(2.41)	9.02
CRM	1.46	0.39	0.28	0.39	1.01	(1.68)	3.59	(1.93)	13.87
JPM	1.08	(0.02)	0.05	0.10	1.30	(1.20)	1.73	(1.44)	15.87
MRK	0.92	(0.22)	0.00	(0.77)	0.00	0.00	2.00	(2.17)	4.89
XOM	0.96	(0.05)	0.00	(0.07)	0.00	0.00	1.83	(2.65)	6.06

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