JPMorgan BetaBuilders Correlations

BBHY Etf

46.97 0.16 0.34%

The current 90-days correlation between JPMorgan BetaBuilders USD and SPDR Portfolio High is 0.96 (i.e., Almost no diversification). The correlation of JPMorgan BetaBuilders 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. If the correlation is 0, the equities are not correlated; they are entirely random.

JPMorgan BetaBuilders Correlation With Market

Very weak diversification

The correlation between JPMorgan BetaBuilders USD and DJI is 0.43 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan BetaBuilders USD and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in JPMorgan BetaBuilders USD. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in rate.

Moving together with JPMorgan Etf

0.73	HYG	iShares iBoxx High	Pair Corr
0.79	USHY	iShares Broad USD	Pair Corr
0.78	JNK	SPDR Bloomberg High	Pair Corr
0.94	SHYG	iShares 0 5	Pair Corr
1.0	HYLB	Xtrackers USD High	Pair Corr
0.94	SJNK	SPDR Bloomberg Short	Pair Corr
0.68	ANGL	VanEck Fallen Angel	Pair Corr
0.95	FALN	iShares Fallen Angels	Pair Corr
0.93	HYLS	First Trust Tactical	Pair Corr
0.61	HYDW	Xtrackers Low Beta	Pair Corr
0.77	VTI	Vanguard Total Stock	Pair Corr
0.76	SPY	SPDR SP 500 Aggressive Push	Pair Corr
0.76	IVV	iShares Core SP	Pair Corr
0.78	VTV	Vanguard Value Index Sell-off Trend	Pair Corr
0.73	VUG	Vanguard Growth Index	Pair Corr
0.77	VO	Vanguard Mid Cap	Pair Corr
0.77	VB	Vanguard Small Cap	Pair Corr
0.61	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr

Moving against JPMorgan Etf

0.31

Coca Cola Sell-off Trend

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 BetaBuilders Competition Risk-Adjusted Indicators

There is a big difference between JPMorgan Etf performing well and JPMorgan BetaBuilders 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 BetaBuilders' 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

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