JPMorgan ETFs Correlations

JIREF Etf

USD 117.50 0.20 0.17%

The correlation of JPMorgan ETFs 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 ETFs Correlation With Market

Significant diversification

The correlation between JPMorgan ETFs ICAV and DJI is 0.04 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan ETFs ICAV 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 JPMorgan ETFs ICAV. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in income.

Moving together with JPMorgan Pink Sheet

0.71	VTI	Vanguard Total Stock	Pair Corr
0.71	SPY	SPDR SP 500	Pair Corr
0.71	IVV	iShares Core SP	Pair Corr
0.83	VUG	Vanguard Growth Index	Pair Corr
0.91	DSJA	DSJA	Pair Corr
0.9	RSPY	Tuttle Capital Management	Pair Corr
0.84	MEME	Roundhill Investments	Pair Corr
0.82	VOX	Vanguard Communication	Pair Corr
0.78	T	ATT Inc Fiscal Year End 22nd of January 2025	Pair Corr
0.83	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.74	JPM	JPMorgan Chase Fiscal Year End 10th of January 2025	Pair Corr
0.7	BAC	Bank of America Fiscal Year End 10th of January 2025	Pair Corr

Moving against JPMorgan Pink Sheet

0.75	VWO	Vanguard FTSE Emerging	Pair Corr
0.73	VEA	Vanguard FTSE Developed	Pair Corr
0.5	INTC	Intel Fiscal Year End 23rd of January 2025	Pair Corr
0.4	BND	Vanguard Total Bond Sell-off Trend	Pair Corr
0.76	DD	Dupont De Nemours Fiscal Year End 4th of February 2025	Pair Corr
0.74	XOM	Exxon Mobil Corp Aggressive Push	Pair Corr
0.66	MRK	Merck Company Sell-off Trend	Pair Corr
0.66	GE	GE Aerospace Fiscal Year End 28th of January 2025	Pair Corr
0.47	HPQ	HP Inc	Pair Corr
0.38	VZ	Verizon Communications Fiscal Year End 28th of January 2025	Pair Corr
0.36	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.72	-0.52	-0.48	0.48	0.39	0.53	0.2	-0.07	-0.56	META
MSFT	0.72		-0.67	-0.42	0.6	-0.03	0.62	0.35	-0.27	-0.7	MSFT
UBER	-0.52	-0.67		0.56	-0.74	0.17	-0.78	-0.54	0.63	0.81	UBER
F	-0.48	-0.42	0.56		-0.13	-0.15	-0.15	0.18	0.04	0.74	F
T	0.48	0.6	-0.74	-0.13		-0.18	0.88	0.77	-0.65	-0.55	T
A	0.39	-0.03	0.17	-0.15	-0.18		-0.22	-0.44	0.65	0.18	A
CRM	0.53	0.62	-0.78	-0.15	0.88	-0.22		0.85	-0.75	-0.59	CRM
JPM	0.2	0.35	-0.54	0.18	0.77	-0.44	0.85		-0.82	-0.38	JPM
MRK	-0.07	-0.27	0.63	0.04	-0.65	0.65	-0.75	-0.82		0.45	MRK
XOM	-0.56	-0.7	0.81	0.74	-0.55	0.18	-0.59	-0.38	0.45		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

CRM	+ 0.88	T
JPM	+ 0.85	CRM
XOM	+ 0.81	UBER
JPM	+ 0.77	T
XOM	+ 0.74	F
MSFT	+ 0.72	META

High negative correlations

MRK	- 0.82	JPM
CRM	- 0.78	UBER
MRK	- 0.75	CRM
T	- 0.74	UBER
XOM	- 0.7	MSFT
UBER	- 0.67	MSFT

JPMorgan ETFs Competition Risk-Adjusted Indicators

There is a big difference between JPMorgan Pink Sheet performing well and JPMorgan ETFs Company 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 ETFs' 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	1.26	0.07	0.04	0.32	1.44	(1.43)	2.62	(3.15)	7.43
MSFT	0.90	(0.04)	0.00	2.27	0.00	0.00	1.78	(2.23)	8.14
UBER	1.72	(0.19)	0.00	(0.96)	0.00	0.00	2.67	(5.35)	20.41
F	1.39	(0.10)	0.00	(0.34)	0.00	0.00	2.38	(2.81)	11.21
T	0.95	0.08	0.05	(0.34)	1.16	(0.98)	1.93	(1.99)	7.95
A	1.12	(0.12)	0.00	(0.34)	0.00	0.00	2.43	(2.42)	8.06
CRM	1.47	0.33	0.20	6.67	1.34	(1.70)	3.18	(2.88)	14.80
JPM	1.06	0.26	0.19	(17.88)	1.04	(1.25)	1.99	(1.42)	15.87
MRK	0.98	(0.20)	0.00	(1.81)	0.00	0.00	1.72	(2.17)	5.17
XOM	0.77	(0.15)	0.00	(0.76)	0.00	0.00	1.71	(2.14)	6.06

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