JPMorgan International Correlations

JPIB Etf

USD 47.66 0.05 0.11%

The current 90-days correlation between JPMorgan International and Invesco Fundamental Investment is 0.78 (i.e., Poor diversification). The correlation of JPMorgan International 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 International Correlation With Market

Modest diversification

The correlation between JPMorgan International Bond and DJI is 0.24 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan International Bond 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 International Bond. 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 JPMorgan Etf

0.68	IGOV	iShares International	Pair Corr
0.72	BWX	SPDR Bloomberg Inter	Pair Corr
0.7	WIP	SPDR FTSE International	Pair Corr
0.7	BWZ	SPDR Bloomberg Short	Pair Corr
0.74	PICB	Invesco International	Pair Corr
0.91	GRNB	VanEck Green Bond	Pair Corr
0.87	SPSK	SP Funds Dow	Pair Corr
0.65	ISHG	iShares 1 3	Pair Corr
0.82	VZ	Verizon Communications Aggressive Push	Pair Corr
0.64	PG	Procter Gamble	Pair Corr
0.66	KO	Coca Cola Aggressive Push	Pair Corr

Moving against JPMorgan Etf

0.56	NVDL	GraniteShares 15x Long	Pair Corr
0.56	NVDX	T Rex 2X	Pair Corr
0.56	NVDU	Direxion Daily NVDA	Pair Corr
0.47	CONL	GraniteShares ETF Trust Trending	Pair Corr
0.45	CRPT	First Trust SkyBridge	Pair Corr
0.45	STCE	Schwab Strategic Trust	Pair Corr
0.44	WGMI	Valkyrie Bitcoin Miners	Pair Corr
0.44	BITQ	Bitwise Crypto Industry Downward Rally	Pair Corr
0.43	DAPP	VanEck Digital Trans	Pair Corr
0.41	BITX	Volatility Shares Trust Trending	Pair Corr
0.64	JPM	JPMorgan Chase Fiscal Year End 10th of January 2025	Pair Corr
0.45	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.27	0.58	-0.01	0.64	0.02	0.73	0.31	-0.58	0.74	META
MSFT	0.27		0.22	0.12	0.18	-0.03	0.04	-0.16	0.1	-0.18	MSFT
UBER	0.58	0.22		0.0	0.09	0.23	0.12	-0.03	-0.01	0.42	UBER
F	-0.01	0.12	0.0		-0.03	-0.36	0.33	0.61	-0.22	0.27	F
T	0.64	0.18	0.09	-0.03		-0.44	0.7	0.43	-0.73	0.38	T
A	0.02	-0.03	0.23	-0.36	-0.44		-0.45	-0.64	0.62	0.02	A
CRM	0.73	0.04	0.12	0.33	0.7	-0.45		0.8	-0.92	0.67	CRM
JPM	0.31	-0.16	-0.03	0.61	0.43	-0.64	0.8		-0.82	0.48	JPM
MRK	-0.58	0.1	-0.01	-0.22	-0.73	0.62	-0.92	-0.82		-0.55	MRK
XOM	0.74	-0.18	0.42	0.27	0.38	0.02	0.67	0.48	-0.55		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	+ 0.8	CRM
XOM	+ 0.74	META
CRM	+ 0.73	META
CRM	+ 0.7	T
XOM	+ 0.67	CRM
T	+ 0.64	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.73	T
JPM	- 0.64	A
MRK	- 0.58	META
XOM	- 0.55	MRK

JPMorgan International Competition Risk-Adjusted Indicators

There is a big difference between JPMorgan Etf performing well and JPMorgan International 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 International'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	0.05	0.02	0.16	1.41	(1.15)	2.62	(3.15)	8.02
MSFT	0.89	(0.10)	0.00	(0.05)	0.00	0.00	2.08	(2.03)	8.19
UBER	1.56	(0.15)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.40	(0.09)	(0.02)	0.02	2.20	(1.37)	2.53	(2.90)	11.72
T	0.91	0.26	0.16	(47.59)	0.84	(1.03)	2.56	(1.72)	6.47
A	1.09	(0.16)	0.00	(0.27)	0.00	0.00	2.11	(2.42)	9.02
CRM	1.25	0.24	0.20	0.30	0.94	(1.47)	3.18	(1.91)	9.09
JPM	1.09	0.03	0.06	0.10	1.43	(1.11)	2.05	(2.00)	15.87
MRK	0.83	(0.26)	0.00	(1.64)	0.00	0.00	1.68	(2.13)	4.89
XOM	1.03	0.04	0.00	0.15	1.22	(1.09)	2.14	(2.09)	5.78

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