IShares IBonds Correlations

IBHH Etf

USD 23.61 0.03 0.13%

The current 90-days correlation between iShares iBonds 2028 and Rivernorth Opportunistic Municipalome is 0.07 (i.e., Significant 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 2028 and DJI is 0.4 (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 2028 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 2028. 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
0.97	USHY	iShares Broad USD	Pair Corr
0.96	JNK	SPDR Bloomberg High	Pair Corr
0.96	SHYG	iShares 0 5	Pair Corr
0.96	HYLB	Xtrackers USD High Sell-off Trend	Pair Corr
0.96	SJNK	SPDR Bloomberg Short	Pair Corr
0.86	ANGL	VanEck Fallen Angel	Pair Corr
0.91	FALN	iShares Fallen Angels	Pair Corr
0.93	HYLS	First Trust Tactical	Pair Corr
0.86	VTI	Vanguard Total Stock	Pair Corr
0.85	SPY	SPDR SP 500	Pair Corr
0.85	IVV	iShares Core SP	Pair Corr
0.76	VTV	Vanguard Value Index Potential Growth	Pair Corr
0.85	VUG	Vanguard Growth Index	Pair Corr
0.85	VO	Vanguard Mid Cap Potential Growth	Pair Corr
0.88	VB	Vanguard Small Cap	Pair Corr
0.75	T	ATT Inc Sell-off Trend	Pair Corr
0.74	CSCO	Cisco Systems	Pair Corr
0.76	BAC	Bank of America Fiscal Year End 10th of January 2025	Pair Corr
0.85	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.83	WMT	Walmart	Pair Corr
0.73	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.66	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr

Moving against IShares Etf

0.5

MRK

Merck Company Fiscal Year End 6th of February 2025

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.32	0.11	0.06	0.47	0.22	0.66	0.44	-0.43	0.42	META
MSFT	0.32		-0.24	0.08	0.27	0.13	0.2	0.12	0.15	-0.51	MSFT
UBER	0.11	-0.24		0.02	-0.55	0.18	-0.38	-0.34	0.29	0.39	UBER
F	0.06	0.08	0.02		0.33	-0.45	0.43	0.61	-0.42	0.35	F
T	0.47	0.27	-0.55	0.33		-0.34	0.87	0.85	-0.74	0.06	T
A	0.22	0.13	0.18	-0.45	-0.34		-0.29	-0.48	0.58	-0.05	A
CRM	0.66	0.2	-0.38	0.43	0.87	-0.29		0.92	-0.85	0.31	CRM
JPM	0.44	0.12	-0.34	0.61	0.85	-0.48	0.92		-0.87	0.28	JPM
MRK	-0.43	0.15	0.29	-0.42	-0.74	0.58	-0.85	-0.87		-0.41	MRK
XOM	0.42	-0.51	0.39	0.35	0.06	-0.05	0.31	0.28	-0.41		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	+ 0.92	CRM
CRM	+ 0.87	T
JPM	+ 0.85	T
CRM	+ 0.66	META
JPM	+ 0.61	F
MRK	+ 0.58	A

High negative correlations

MRK	- 0.87	JPM
MRK	- 0.85	CRM
MRK	- 0.74	T
T	- 0.55	UBER
XOM	- 0.51	MSFT
JPM	- 0.48	A

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	1.15	0.26	0.13	0.63	1.17	(1.34)	3.22	(1.87)	8.02
MSFT	0.88	0.07	0.01	0.23	1.35	(0.87)	2.09	(1.57)	8.19
UBER	1.78	(0.22)	0.00	(0.07)	0.00	0.00	2.69	(2.88)	20.41
F	1.43	(0.15)	(0.04)	0.01	2.22	(1.41)	2.53	(2.90)	11.21
T	0.98	0.15	0.03	3.35	1.06	(1.06)	2.36	(1.99)	6.74
A	1.22	0.01	(0.04)	0.14	1.48	(1.28)	2.71	(2.41)	9.02
CRM	1.46	0.39	0.28	0.39	1.01	(1.68)	3.59	(1.93)	13.87
JPM	1.08	(0.02)	0.05	0.10	1.30	(1.20)	1.73	(1.44)	15.87
MRK	0.92	(0.22)	0.00	(0.77)	0.00	0.00	2.00	(2.17)	4.89
XOM	0.96	(0.05)	0.00	(0.07)	0.00	0.00	1.83	(2.65)	6.06

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