IShares IBonds Correlations

IBMN Etf

USD 26.66 0.02 0.08%

The current 90-days correlation between iShares iBonds Dec and iShares Trust is 0.44 (i.e., Very weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IShares IBonds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares iBonds Dec moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

IShares IBonds Correlation With Market

Very good diversification

The correlation between iShares iBonds Dec and DJI is -0.25 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding iShares iBonds Dec 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 Dec. 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 IShares Etf

0.71	IBML	IShares	Pair Corr
0.81	IBMM	iShares iBonds Dec	Pair Corr
0.82	BSMO	Invesco BulletShares 2024	Pair Corr
0.69	BSMN	Invesco	Pair Corr
0.73	BSMP	Invesco BulletShares 2025	Pair Corr
0.7	ARKW	ARK Next Generation	Pair Corr
0.7	EWC	iShares MSCI Canada	Pair Corr
0.77	USFR	WisdomTree Floating Rate	Pair Corr
0.69	XLF	Financial Select Sector Aggressive Push	Pair Corr
0.67	BTC	Grayscale Bitcoin Mini	Pair Corr
0.74	DIVG	Invesco Exchange Traded	Pair Corr
0.61	SPY	SPDR SP 500 Aggressive Push	Pair Corr
0.65	IDU	iShares Utilities ETF	Pair Corr
0.66	DIVB	iShares Dividend	Pair Corr
0.65	PUTW	WisdomTree CBOE SP	Pair Corr
0.69	MSTY	YieldMax MSTR Option	Pair Corr
0.78	DISO	Tidal Trust II	Pair Corr

Moving against IShares Etf

0.57

HUM

Humana Inc Fiscal Year End 23rd of January 2025

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.57	-0.02	0.62	0.02	0.71	0.3	-0.57	0.73	META
MSFT	0.28		0.24	0.13	0.18	-0.02	0.02	-0.17	0.11	-0.19	MSFT
UBER	0.57	0.24		-0.01	0.05	0.25	0.08	-0.07	0.02	0.38	UBER
F	-0.02	0.13	-0.01		-0.04	-0.36	0.32	0.6	-0.22	0.26	F
T	0.62	0.18	0.05	-0.04		-0.46	0.71	0.45	-0.75	0.39	T
A	0.02	-0.02	0.25	-0.36	-0.46		-0.47	-0.65	0.63	0.0	A
CRM	0.71	0.02	0.08	0.32	0.71	-0.47		0.81	-0.92	0.68	CRM
JPM	0.3	-0.17	-0.07	0.6	0.45	-0.65	0.81		-0.82	0.49	JPM
MRK	-0.57	0.11	0.02	-0.22	-0.75	0.63	-0.92	-0.82		-0.56	MRK
XOM	0.73	-0.19	0.38	0.26	0.39	0.0	0.68	0.49	-0.56		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	+ 0.81	CRM
XOM	+ 0.73	META
CRM	+ 0.71	META
CRM	+ 0.71	T
XOM	+ 0.68	CRM
MRK	+ 0.63	A

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.75	T
JPM	- 0.65	A
MRK	- 0.57	META
XOM	- 0.56	MRK

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	1.05	0.01	(0.01)	0.12	1.40	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.11)	0.00	(0.05)	0.00	0.00	2.09	(2.02)	8.19
UBER	1.56	(0.16)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.39	(0.12)	(0.03)	0.02	2.20	(1.34)	2.53	(2.90)	11.72
T	0.92	0.26	0.15	57.17	0.86	(1.04)	2.56	(1.72)	6.47
A	1.12	(0.13)	0.00	(0.16)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.28	0.27	0.23	0.33	0.92	(1.51)	3.18	(1.91)	9.09
JPM	1.11	0.03	0.07	0.12	1.44	(1.15)	2.05	(2.00)	15.87
MRK	0.85	(0.24)	0.00	(1.03)	0.00	0.00	1.73	(2.13)	4.89
XOM	1.04	0.06	0.01	0.20	1.20	(1.10)	2.14	(2.09)	5.78

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