JPMorgan Inflation Correlations

JCPI Etf

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The current 90-days correlation between JPMorgan Inflation and Dimensional ETF Trust is 0.86 (i.e., Very poor diversification). The correlation of JPMorgan Inflation 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 Inflation Correlation With Market

Average diversification

The correlation between JPMorgan Inflation Managed and DJI is 0.13 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Inflation Managed 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 Inflation Managed. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in american community survey.

Moving together with JPMorgan Etf

0.94	TIP	iShares TIPS Bond	Pair Corr
0.94	SPIP	SPDR Portfolio TIPS	Pair Corr
0.76	IVOL	Quadratic Interest Rate	Pair Corr
0.96	TDTF	FlexShares iBoxx 5	Pair Corr
0.83	LTPZ	PIMCO 15 Year	Pair Corr
0.94	DFIP	Dimensional ETF Trust	Pair Corr
0.93	TIPZ	PIMCO Broad TIPS	Pair Corr
0.77	IYR	iShares Real Estate	Pair Corr
0.89	WTRE	WisdomTree New Economy	Pair Corr
0.68	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.67	PFE	Pfizer Inc Aggressive Push	Pair Corr
0.72	MMM	3M Company Fiscal Year End 28th of January 2025	Pair Corr
0.78	VZ	Verizon Communications Aggressive Push	Pair Corr
0.76	KO	Coca Cola Aggressive Push	Pair Corr

Moving against JPMorgan Etf

0.51	CPII	Ionic Inflation Prot	Pair Corr
0.37	IYC	iShares Consumer Dis	Pair Corr
0.32	SITC	Site Centers Corp	Pair Corr
0.73	JPM	JPMorgan Chase Fiscal Year End 10th of January 2025	Pair Corr
0.62	BAC	Bank of America Fiscal Year End 10th of January 2025	Pair Corr
0.57	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.32	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.31	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.29	0.57	-0.02	0.6	0.02	0.68	0.28	-0.56	0.72	META
MSFT	0.29		0.24	0.12	0.2	-0.02	0.02	-0.17	0.11	-0.18	MSFT
UBER	0.57	0.24		-0.02	0.02	0.26	0.05	-0.1	0.04	0.36	UBER
F	-0.02	0.12	-0.02		0.0	-0.37	0.36	0.62	-0.24	0.29	F
T	0.6	0.2	0.02	0.0		-0.48	0.73	0.49	-0.76	0.39	T
A	0.02	-0.02	0.26	-0.37	-0.48		-0.48	-0.65	0.64	-0.01	A
CRM	0.68	0.02	0.05	0.36	0.73	-0.48		0.83	-0.92	0.68	CRM
JPM	0.28	-0.17	-0.1	0.62	0.49	-0.65	0.83		-0.83	0.51	JPM
MRK	-0.56	0.11	0.04	-0.24	-0.76	0.64	-0.92	-0.83		-0.57	MRK
XOM	0.72	-0.18	0.36	0.29	0.39	-0.01	0.68	0.51	-0.57		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	+ 0.83	CRM
CRM	+ 0.73	T
XOM	+ 0.72	META
CRM	+ 0.68	META
XOM	+ 0.68	CRM
MRK	+ 0.64	A

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.83	JPM
MRK	- 0.76	T
JPM	- 0.65	A
XOM	- 0.57	MRK
MRK	- 0.56	META

JPMorgan Inflation Competition Risk-Adjusted Indicators

There is a big difference between JPMorgan Etf performing well and JPMorgan Inflation 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 Inflation'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	1.05	0.00	(0.03)	0.12	1.40	(1.14)	2.62	(3.15)	8.02
MSFT	0.88	(0.08)	(0.07)	0.01	1.51	(0.82)	2.09	(1.85)	8.19
UBER	1.60	(0.14)	0.00	(0.02)	0.00	0.00	2.69	(2.44)	20.10
F	1.43	(0.12)	(0.02)	0.04	2.19	(1.43)	2.75	(2.90)	11.72
T	0.92	0.28	0.14	24.43	0.85	(1.04)	2.56	(1.72)	6.47
A	1.14	(0.13)	0.00	(0.12)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.28	0.29	0.25	0.37	0.90	(1.52)	3.18	(1.91)	9.09
JPM	1.12	0.00	0.06	0.12	1.44	(1.17)	2.05	(2.00)	15.87
MRK	0.85	(0.26)	0.00	(1.12)	0.00	0.00	1.73	(2.13)	4.89
XOM	1.03	0.03	(0.01)	0.18	1.21	(1.11)	2.14	(2.09)	5.78

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