IShares IBonds Correlations

IBTL Etf

USD 20.26 0.02 0.1%

The current 90-days correlation between iShares iBonds Dec and iShares iBonds Dec is 0.97 (i.e., Almost no 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 -0.24 (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.

Build AI portfolio with IShares Etf

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 estimate.

Moving together with IShares Etf

0.88	BSCP	Invesco BulletShares 2025	Pair Corr
0.89	IBDQ	iShares iBonds Dec	Pair Corr
0.93	BSCQ	Invesco BulletShares 2026	Pair Corr
0.93	IBDR	iShares iBonds Dec	Pair Corr
0.96	IBDS	iShares iBonds Dec	Pair Corr
0.76	ULE	ProShares Ultra Euro	Pair Corr
0.63	AMPD	Tidal ETF Services	Pair Corr
0.69	VIXY	ProShares VIX Short	Pair Corr
0.73	VZ	Verizon Communications Aggressive Push	Pair Corr
0.79	T	ATT Inc Earnings Call Tomorrow	Pair Corr
0.71	KO	Coca Cola	Pair Corr
0.65	TRV	The Travelers Companies	Pair Corr

Moving against IShares Etf

0.88	WGMI	Valkyrie Bitcoin Miners	Pair Corr
0.71	IBM	International Business	Pair Corr
0.64	DD	Dupont De Nemours	Pair Corr
0.62	ITDD	iShares Trust	Pair Corr
0.8	AXP	American Express	Pair Corr
0.79	AA	Alcoa Corp Earnings Call This Week	Pair Corr
0.76	BAC	Bank of America Aggressive Push	Pair Corr
0.76	DIS	Walt Disney	Pair Corr
0.75	CAT	Caterpillar	Pair Corr
0.55	WMT	Walmart Aggressive Push	Pair Corr
0.54	PFE	Pfizer Inc Aggressive Push	Pair Corr
0.54	MSFT	Microsoft Aggressive Push	Pair Corr
0.46	GE	GE Aerospace	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.74	0.2	-0.35	-0.66	0.94	0.96	0.88	0.48	0.18	META
MSFT	0.74		0.51	0.03	-0.39	0.63	0.74	0.8	0.24	-0.02	MSFT
UBER	0.2	0.51		0.15	0.32	-0.03	0.09	0.41	-0.22	0.1	UBER
F	-0.35	0.03	0.15		0.48	-0.28	-0.28	-0.26	0.24	0.45	F
T	-0.66	-0.39	0.32	0.48		-0.75	-0.75	-0.5	-0.33	0.26	T
A	0.94	0.63	-0.03	-0.28	-0.75		0.97	0.81	0.6	0.23	A
CRM	0.96	0.74	0.09	-0.28	-0.75	0.97		0.88	0.48	0.14	CRM
JPM	0.88	0.8	0.41	-0.26	-0.5	0.81	0.88		0.19	0.13	JPM
MRK	0.48	0.24	-0.22	0.24	-0.33	0.6	0.48	0.19		0.47	MRK
XOM	0.18	-0.02	0.1	0.45	0.26	0.23	0.14	0.13	0.47		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

CRM	+ 0.97	A
CRM	+ 0.96	META
A	+ 0.94	META
JPM	+ 0.88	META
JPM	+ 0.88	CRM
JPM	+ 0.81	A

High negative correlations

CRM	- 0.75	T
A	- 0.75	T
T	- 0.66	META
JPM	- 0.5	T
T	- 0.39	MSFT
F	- 0.35	META

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	2.25	0.04	0.00	(0.10)	0.00	0.00	4.00	(4.67)	21.50
MSFT	1.41	0.22	0.12	0.09	1.59	(1.46)	3.19	(3.02)	13.79
UBER	2.37	0.58	0.17	0.33	2.88	(2.41)	5.87	(4.21)	16.03
F	1.90	0.20	0.07	0.07	2.65	(1.92)	3.19	(3.88)	13.11
T	1.16	0.28	0.14	0.58	2.23	(1.15)	1.97	(3.02)	9.07
A	1.60	(0.34)	0.00	(0.43)	0.00	0.00	2.76	(5.45)	14.45
CRM	1.76	(0.18)	0.00	(0.27)	0.00	0.00	2.91	(4.51)	13.13
JPM	1.57	0.08	0.00	(0.05)	0.00	0.00	2.88	(4.15)	11.14
MRK	1.49	(0.19)	0.00	(0.56)	0.00	0.00	2.43	(4.81)	10.07
XOM	1.43	0.04	0.00	(0.08)	0.00	0.00	2.80	(3.21)	10.54

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