IShares Correlations

IBTF Etf

USD 23.30 0.00 0.00%

The current 90-days correlation between IShares and iShares Russell 2500 is -0.2 (i.e., Good diversification). The correlation of IShares 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 Correlation With Market

Very poor diversification

The correlation between IShares and DJI is 0.81 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding IShares 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. 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

0.99	BSCP	Invesco	Pair Corr
1.0	IBDQ	IShares	Pair Corr
0.99	BSCQ	Invesco BulletShares 2026	Pair Corr
0.99	IBDR	iShares iBonds Dec	Pair Corr
0.97	IBDS	iShares iBonds Dec	Pair Corr
0.91	EMCB	WisdomTree Emerging	Pair Corr
0.86	WIP	SPDR FTSE International	Pair Corr
0.77	ISHG	iShares 1 3	Pair Corr
0.9	JNJ	Johnson Johnson	Pair Corr
0.94	AA	Alcoa Corp	Pair Corr
0.85	CAT	Caterpillar	Pair Corr
0.88	WMT	Walmart Common Stock	Pair Corr
0.63	CVX	Chevron Corp Earnings Call Today	Pair Corr
0.74	BA	Boeing	Pair Corr

Moving against IShares Etf

0.89	HPQ	HP Inc	Pair Corr
0.41	PG	Procter Gamble	Pair Corr
0.4	MMM	3M Company	Pair Corr
0.36	IBM	International Business	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.31	0.06	0.06	-0.07	-0.27	0.34	-0.03	-0.05	0.04	META
MSFT	0.31		0.75	-0.47	0.48	0.32	0.39	-0.1	-0.81	-0.68	MSFT
UBER	0.06	0.75		-0.45	0.47	0.51	0.07	-0.23	-0.8	-0.52	UBER
F	0.06	-0.47	-0.45		-0.59	-0.33	0.02	0.46	0.64	0.6	F
T	-0.07	0.48	0.47	-0.59		0.61	-0.09	-0.25	-0.46	-0.64	T
A	-0.27	0.32	0.51	-0.33	0.61		-0.13	-0.12	-0.32	-0.52	A
CRM	0.34	0.39	0.07	0.02	-0.09	-0.13		0.62	-0.13	-0.45	CRM
JPM	-0.03	-0.1	-0.23	0.46	-0.25	-0.12	0.62		0.35	-0.05	JPM
MRK	-0.05	-0.81	-0.8	0.64	-0.46	-0.32	-0.13	0.35		0.68	MRK
XOM	0.04	-0.68	-0.52	0.6	-0.64	-0.52	-0.45	-0.05	0.68		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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

UBER	+ 0.75	MSFT
XOM	+ 0.68	MRK
MRK	+ 0.64	F
JPM	+ 0.62	CRM
A	+ 0.61	T
XOM	+ 0.6	F

High negative correlations

MRK	- 0.81	MSFT
MRK	- 0.8	UBER
XOM	- 0.68	MSFT
XOM	- 0.64	T
T	- 0.59	F
XOM	- 0.52	A

IShares Competition Risk-Adjusted Indicators

There is a big difference between IShares Etf performing well and IShares 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' 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	1.60	(0.03)	(0.01)	0.02	2.40	(1.68)	3.43	(2.67)	13.02
MSFT	1.24	(0.29)	0.00	(1.12)	0.00	0.00	1.85	(2.70)	4.90
UBER	1.47	(0.24)	0.00	(0.26)	0.00	0.00	2.50	(3.82)	10.23
F	1.47	0.18	0.10	0.52	1.32	(1.82)	3.65	(2.35)	16.30
T	0.88	(0.03)	0.00	(0.14)	0.00	0.00	1.63	(1.85)	4.30
A	1.19	(0.22)	0.00	(0.12)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.53	(0.30)	0.00	(0.24)	0.00	0.00	2.94	(4.26)	12.37
JPM	1.11	0.04	(0.01)	(0.50)	1.66	(1.09)	2.00	(3.11)	7.38
MRK	1.26	0.30	0.21	0.47	1.14	(1.53)	3.59	(1.98)	8.09
XOM	1.06	0.24	0.18	0.45	0.96	(1.23)	2.38	(1.51)	5.82

IShares Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with IShares etf to make a market-neutral strategy. Peer analysis of IShares could also be used in its relative valuation, which is a method of valuing IShares by comparing valuation metrics with similar companies.

iShares iBonds Dec iShares Aaa iShares Trust iShares Edge High iShares iBonds Dec iShares Fallen Angels iShares MSCI Pacific iShares Global Energy Invesco SP 500 iShares Russell 2500 American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

Risk & Return

Correlation

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

2026 Macroaxis LLC