Bondbloxx ETF Correlations

XEMD Etf

USD 42.72 0.09 0.21%

The current 90-days correlation between Bondbloxx ETF Trust and BondBloxx ETF Trust is 0.81 (i.e., Very poor diversification). The correlation of Bondbloxx ETF 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.

Bondbloxx ETF Correlation With Market

Poor diversification

The correlation between Bondbloxx ETF Trust and DJI is 0.7 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Bondbloxx ETF Trust and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Bondbloxx Etf

Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Bondbloxx ETF Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.

Moving together with Bondbloxx Etf

0.91	EMB	iShares JP Morgan Symbol Change	Pair Corr
0.81	PCY	Invesco Emerging Markets	Pair Corr
0.91	HYEM	VanEck Emerging Markets	Pair Corr
0.91	EMHY	iShares JP Morgan	Pair Corr
0.92	CEMB	iShares JP Morgan	Pair Corr
0.91	EMHC	SPDR Bloomberg Barclays	Pair Corr
0.92	EMBD	Global X Emerging	Pair Corr
0.86	EMTL	SPDR DoubleLine Emerging	Pair Corr
0.89	JPMB	JPMorgan USD Emerging	Pair Corr
0.89	ARKW	ARK Next Generation	Pair Corr
0.89	WTMF	WisdomTree Managed	Pair Corr
0.91	EWC	iShares MSCI Canada	Pair Corr
0.89	BST	BlackRock Science Tech	Pair Corr
0.71	IRET	iREIT MarketVector	Pair Corr
0.97	AVES	Avantis Emerging Markets	Pair Corr
0.85	NFLX	Netflix	Pair Corr
0.88	CAT	Caterpillar	Pair Corr
0.74	MMM	3M Company	Pair Corr
0.85	GE	GE Aerospace	Pair Corr
0.9	BAC	Bank of America Aggressive Push	Pair Corr
0.82	JPM	JPMorgan Chase	Pair Corr
0.84	BA	Boeing	Pair Corr
0.84	DIS	Walt Disney	Pair Corr
0.76	TRV	The Travelers Companies	Pair Corr
0.82	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.77	MSFT	Microsoft Aggressive Push	Pair Corr

Moving against Bondbloxx Etf

0.8

HUM

Humana Inc

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.89	0.71	0.79	0.56	0.76	0.45	0.88	-0.18	0.19	META
MSFT	0.89		0.88	0.85	0.54	0.56	0.43	0.94	-0.47	-0.09	MSFT
UBER	0.71	0.88		0.89	0.44	0.43	0.64	0.89	-0.51	-0.14	UBER
F	0.79	0.85	0.89		0.51	0.65	0.69	0.91	-0.24	0.23	F
T	0.56	0.54	0.44	0.51		0.43	0.17	0.57	-0.13	0.21	T
A	0.76	0.56	0.43	0.65	0.43		0.52	0.66	0.25	0.56	A
CRM	0.45	0.43	0.64	0.69	0.17	0.52		0.54	0.1	0.27	CRM
JPM	0.88	0.94	0.89	0.91	0.57	0.66	0.54		-0.39	0.12	JPM
MRK	-0.18	-0.47	-0.51	-0.24	-0.13	0.25	0.1	-0.39		0.66	MRK
XOM	0.19	-0.09	-0.14	0.23	0.21	0.56	0.27	0.12	0.66		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	+ 0.94	MSFT
JPM	+ 0.91	F
MSFT	+ 0.89	META
F	+ 0.89	UBER
JPM	+ 0.89	UBER
JPM	+ 0.88	META

High negative correlations

MRK	- 0.51	UBER
MRK	- 0.47	MSFT
MRK	- 0.39	JPM
MRK	- 0.24	F
MRK	- 0.18	META
XOM	- 0.14	UBER

Bondbloxx ETF Competition Risk-Adjusted Indicators

There is a big difference between Bondbloxx Etf performing well and Bondbloxx ETF 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 Bondbloxx ETF'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	2.08	0.28	0.09	(9.66)	2.46	(2.36)	4.23	(4.29)	21.50
MSFT	1.23	0.33	0.21	0.35	1.13	(1.36)	2.40	(2.36)	13.79
UBER	1.87	0.23	0.09	0.20	2.29	(2.03)	4.19	(3.48)	16.18
F	1.70	0.10	0.04	0.13	2.24	(1.73)	2.90	(3.84)	13.07
T	1.15	0.09	0.04	0.32	1.79	(1.16)	2.01	(2.62)	8.83
A	1.78	(0.03)	0.00	0.12	0.00	0.00	2.76	(4.15)	14.45
CRM	1.60	(0.10)	0.00	(0.06)	0.00	0.00	3.01	(3.64)	13.13
JPM	1.31	0.22	0.10	0.22	1.95	(1.37)	2.75	(2.12)	11.14
MRK	1.62	(0.24)	0.00	0.87	0.00	0.00	2.55	(4.72)	10.58
XOM	1.32	(0.05)	0.00	(0.03)	0.00	0.00	2.62	(2.77)	10.53

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

2025 Macroaxis LLC