IShares IBonds Correlations

IBHG Etf

USD 22.41 0.09 0.40%

The current 90-days correlation between iShares iBonds 2027 and iShares iBonds 2026 is -0.06 (i.e., Good diversification). The correlation of IShares IBonds 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.

IShares IBonds Correlation With Market

Very weak diversification

The correlation between iShares iBonds 2027 and DJI is 0.53 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding iShares iBonds 2027 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 iShares iBonds 2027. 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 IShares Etf

0.96	HYG	iShares iBoxx High	Pair Corr
0.96	USHY	iShares Broad USD	Pair Corr
0.93	JNK	SPDR Bloomberg High	Pair Corr
0.96	SHYG	iShares 0 5	Pair Corr
0.96	HYLB	Xtrackers USD High	Pair Corr
0.96	SJNK	SPDR Bloomberg Short	Pair Corr
0.9	ANGL	VanEck Fallen Angel	Pair Corr
0.92	FALN	iShares Fallen Angels	Pair Corr
0.83	HYLS	First Trust Tactical	Pair Corr
0.96	HYDW	Xtrackers Low Beta	Pair Corr
0.61	XTAP	Innovator Equity Acc	Pair Corr
0.88	SPEU	SPDR Portfolio Europe	Pair Corr
0.76	FLBR	Franklin FTSE Brazil	Pair Corr
0.65	AMPS	Altus Power	Pair Corr
0.93	FIBR	iShares Fixed Income	Pair Corr
0.72	BNDC	FlexShares Core Select	Pair Corr
0.91	XMAR	First Trust Exchange	Pair Corr
0.69	DEM	WisdomTree Emerging	Pair Corr
0.67	ITE	SPDR Bloomberg Barclays	Pair Corr
0.9	USTB	VictoryShares USAA Core	Pair Corr
0.93	DDWM	WisdomTree Dynamic	Pair Corr
0.87	GSEU	Goldman Sachs ActiveBeta	Pair Corr
0.85	AVSF	American Century ETF	Pair Corr
0.88	VGK	Vanguard FTSE Europe Sell-off Trend	Pair Corr
0.87	FEDM	FlexShares ESG Climate	Pair Corr
0.78	TOTR	T Rowe Price	Pair Corr
0.8	VGI	Virtus Global Multi	Pair Corr
0.87	CADEX	Cion Ares Diversified	Pair Corr
0.85	FIVA	Fidelity International	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.14	0.66	-0.48	0.43	0.36	0.16	0.89	-0.77	0.14	META
MSFT	-0.14		-0.64	0.31	-0.77	0.65	0.89	0.0	0.49	-0.33	MSFT
UBER	0.66	-0.64		-0.48	0.8	-0.23	-0.55	0.58	-0.86	0.46	UBER
F	-0.48	0.31	-0.48		-0.2	0.12	0.15	-0.38	0.62	0.23	F
T	0.43	-0.77	0.8	-0.2		-0.54	-0.68	0.25	-0.68	0.48	T
A	0.36	0.65	-0.23	0.12	-0.54		0.75	0.58	0.12	-0.11	A
CRM	0.16	0.89	-0.55	0.15	-0.68	0.75		0.24	0.3	-0.38	CRM
JPM	0.89	0.0	0.58	-0.38	0.25	0.58	0.24		-0.65	0.16	JPM
MRK	-0.77	0.49	-0.86	0.62	-0.68	0.12	0.3	-0.65		-0.31	MRK
XOM	0.14	-0.33	0.46	0.23	0.48	-0.11	-0.38	0.16	-0.31		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	+ 0.89	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.75	A
UBER	+ 0.66	META
A	+ 0.65	MSFT

High negative correlations

MRK	- 0.86	UBER
T	- 0.77	MSFT
MRK	- 0.77	META
MRK	- 0.68	T
CRM	- 0.68	T
MRK	- 0.65	JPM

IShares IBonds Competition Risk-Adjusted Indicators

There is a big difference between IShares Etf performing well and IShares IBonds 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 IShares IBonds' 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	1.61	0.01	0.00	(0.08)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.11	(0.15)	0.00	(0.32)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.94	0.22	0.10	0.31	2.41	(2.00)	4.72	(3.30)	12.75
F	1.44	0.07	0.00	(0.03)	0.00	0.00	2.71	(2.89)	10.14
T	1.05	0.26	0.17	0.38	1.59	(1.13)	1.90	(1.75)	11.66
A	1.13	(0.12)	0.00	(0.22)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.42	(0.23)	0.00	(0.30)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.09	0.06	0.00	(0.04)	0.00	0.00	1.99	(3.35)	6.85
MRK	1.17	(0.07)	0.00	1.31	0.00	0.00	2.07	(1.80)	11.58
XOM	1.05	0.07	0.09	0.06	1.38	(1.09)	2.55	(2.36)	5.89

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