JPMorgan Correlations

Summary

UPWD Etf

USD 56.28 0.00 0.00%

The current 90-days correlation between JPMorgan and Vanguard Total Stock is -0.03 (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.

JPMorgan Correlation With Market

Good diversification

The correlation between JPMorgan and DJI is -0.07 (i.e., Good 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.

Check out World Market Map 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 housing.

Moving together with JPMorgan Etf

0.69	VTI	Vanguard Total Stock	Pair Corr
0.67	SPY	SPDR SP 500 Aggressive Push	Pair Corr
0.67	IVV	iShares Core SP	Pair Corr
0.64	VTV	Vanguard Value Index Sell-off Trend	Pair Corr
0.68	VUG	Vanguard Growth Index	Pair Corr
0.74	VO	Vanguard Mid Cap	Pair Corr
0.75	VB	Vanguard Small Cap	Pair Corr
0.74	DSJA	DSJA	Pair Corr
0.82	RSPY	Tuttle Capital Management	Pair Corr
0.83	MEME	Roundhill Investments	Pair Corr
0.7	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.74	T	ATT Inc Aggressive Push	Pair Corr
0.75	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.83	DIS	Walt Disney Aggressive Push	Pair Corr
0.75	JPM	JPMorgan Chase Sell-off Trend	Pair Corr
0.86	WMT	Walmart Aggressive Push	Pair Corr
0.73	CVX	Chevron Corp Sell-off Trend	Pair Corr

Moving against JPMorgan Etf

0.65	VEA	Vanguard FTSE Developed	Pair Corr
0.55	BND	Vanguard Total Bond	Pair Corr
0.73	PFE	Pfizer Inc Aggressive Push	Pair Corr
0.7	KO	Coca Cola Sell-off Trend	Pair Corr
0.68	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.6	JNJ	Johnson Johnson Fiscal Year End 28th of January 2025	Pair Corr
0.42	BA	Boeing Fiscal Year End 29th of January 2025	Pair Corr
0.39	MMM	3M Company Fiscal Year End 28th of January 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.27	0.55	0.02	0.55	0.04	0.64	0.28	-0.53	0.72	META
MSFT	0.27		0.22	0.17	0.18	-0.01	0.03	-0.12	0.12	-0.19	MSFT
UBER	0.55	0.22		-0.08	-0.06	0.27	-0.01	-0.14	0.08	0.35	UBER
F	0.02	0.17	-0.08		0.16	-0.49	0.42	0.61	-0.31	0.2	F
T	0.55	0.18	-0.06	0.16		-0.5	0.79	0.6	-0.78	0.38	T
A	0.04	-0.01	0.27	-0.49	-0.5		-0.47	-0.62	0.64	-0.01	A
CRM	0.64	0.03	-0.01	0.42	0.79	-0.47		0.85	-0.91	0.65	CRM
JPM	0.28	-0.12	-0.14	0.61	0.6	-0.62	0.85		-0.83	0.48	JPM
MRK	-0.53	0.12	0.08	-0.31	-0.78	0.64	-0.91	-0.83		-0.56	MRK
XOM	0.72	-0.19	0.35	0.2	0.38	-0.01	0.65	0.48	-0.56		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

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	+ 0.85	CRM
CRM	+ 0.79	T
XOM	+ 0.72	META
XOM	+ 0.65	CRM
CRM	+ 0.64	META
MRK	+ 0.64	A

High negative correlations

MRK	- 0.91	CRM
MRK	- 0.83	JPM
MRK	- 0.78	T
JPM	- 0.62	A
XOM	- 0.56	MRK
MRK	- 0.53	META

JPMorgan Competition 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
META	1.06	0.06	0.02	0.20	1.40	(1.15)	2.62	(3.15)	8.02
MSFT	0.92	(0.05)	(0.05)	0.05	1.49	(0.89)	2.09	(1.85)	8.19
UBER	1.62	(0.12)	(0.05)	0.00	2.30	(1.74)	2.69	(2.53)	20.10
F	1.43	0.02	(0.04)	0.48	2.24	(1.39)	2.53	(2.90)	11.21
T	0.92	0.28	0.15	(7.88)	0.85	(1.05)	2.56	(1.72)	6.47
A	1.17	(0.09)	0.00	(0.05)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.34	0.21	0.16	0.30	1.16	(1.53)	3.18	(1.93)	9.09
JPM	1.12	(0.01)	0.06	0.11	1.40	(1.21)	2.05	(2.00)	15.87
MRK	0.91	(0.21)	0.00	(0.74)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.01	(0.05)	(0.08)	0.02	1.33	(1.07)	2.10	(2.09)	5.74

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.

Vanguard Total Stock SPDR SP 500 iShares Core SP Vanguard Total Bond Vanguard Value Index Vanguard Growth Index Vanguard Mid Cap Index Vanguard FTSE Developed Vanguard Small Cap Index Vanguard FTSE Emerging American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

Risk & Return

Correlation

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC