IShares Correlations

IBDP Etf

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The current 90-days correlation between IShares and IShares is -0.04 (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. If the correlation is 0, the equities are not correlated; they are entirely random.

IShares Correlation With Market

Good diversification

The correlation between IShares and DJI is -0.14 (i.e., Good 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.

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 unemployment.

Moving together with IShares Etf

1.0	BSCO	Invesco	Pair Corr
0.97	BSCN	Invesco	Pair Corr
0.99	IBDO	IShares	Pair Corr
0.99	BSCP	Invesco BulletShares 2025	Pair Corr
1.0	IBDQ	iShares iBonds Dec	Pair Corr
0.93	BSCQ	Invesco BulletShares 2026	Pair Corr
0.93	IBDR	iShares iBonds Dec	Pair Corr
0.99	IBTD	IShares	Pair Corr
0.76	VUG	Vanguard Growth Index	Pair Corr
0.84	WMT	Walmart	Pair Corr
0.83	AXP	American Express Earnings Call This Week	Pair Corr
0.73	BA	Boeing Earnings Call This Week	Pair Corr
0.7	DIS	Walt Disney	Pair Corr

Moving against IShares Etf

0.73	VEA	Vanguard FTSE Developed	Pair Corr
0.53	BND	Vanguard Total Bond	Pair Corr
0.43	VTV	Vanguard Value Index	Pair Corr
0.93	JNJ	Johnson Johnson Earnings Call Today	Pair Corr
0.87	DD	Dupont De Nemours Fiscal Year End 4th of February 2025	Pair Corr
0.82	XOM	Exxon Mobil Corp Fiscal Year End 7th of February 2025	Pair Corr
0.8	HPQ	HP Inc	Pair Corr
0.78	KO	Coca Cola Sell-off Trend	Pair Corr
0.63	VZ	Verizon Communications Fiscal Year End 28th of January 2025	Pair Corr
0.57	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr
0.56	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.55	PFE	Pfizer Inc Earnings Call This Week	Pair Corr
0.53	AA	Alcoa Corp	Pair Corr
0.49	TRV	The Travelers Companies Sell-off Trend	Pair Corr
0.32	PG	Procter Gamble	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.64	-0.58	-0.52	0.41	0.59	0.53	0.42	-0.11	-0.64	META
MSFT	0.64		-0.53	-0.24	0.56	0.23	0.65	0.25	-0.1	-0.47	MSFT
UBER	-0.58	-0.53		0.64	-0.58	-0.08	-0.78	-0.56	0.67	0.81	UBER
F	-0.52	-0.24	0.64		0.01	-0.25	-0.2	-0.07	0.2	0.9	F
T	0.41	0.56	-0.58	0.01		0.0	0.8	0.59	-0.45	-0.23	T
A	0.59	0.23	-0.08	-0.25	0.0		0.12	0.22	0.32	-0.19	A
CRM	0.53	0.65	-0.78	-0.2	0.8	0.12		0.7	-0.59	-0.44	CRM
JPM	0.42	0.25	-0.56	-0.07	0.59	0.22	0.7		-0.62	-0.25	JPM
MRK	-0.11	-0.1	0.67	0.2	-0.45	0.32	-0.59	-0.62		0.32	MRK
XOM	-0.64	-0.47	0.81	0.9	-0.23	-0.19	-0.44	-0.25	0.32		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

XOM	+ 0.9	F
XOM	+ 0.81	UBER
CRM	+ 0.8	T
JPM	+ 0.7	CRM
MRK	+ 0.67	UBER
CRM	+ 0.65	MSFT

High negative correlations

CRM	- 0.78	UBER
XOM	- 0.64	META
MRK	- 0.62	JPM
MRK	- 0.59	CRM
T	- 0.58	UBER
UBER	- 0.58	META

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	1.36	0.07	0.03	0.26	1.52	(1.53)	3.43	(3.15)	7.43
MSFT	0.92	0.04	0.01	(0.50)	1.58	(0.87)	2.09	(1.73)	8.14
UBER	1.63	(0.34)	0.00	(0.88)	0.00	0.00	2.67	(5.35)	12.29
F	1.38	(0.09)	0.00	(0.14)	0.00	0.00	2.38	(2.81)	11.21
T	0.97	0.09	0.05	(0.80)	1.10	(1.04)	1.91	(1.84)	7.96
A	1.21	0.02	0.01	0.06	1.45	(1.33)	2.72	(2.42)	8.06
CRM	1.41	0.17	0.09	1.01	1.45	(1.59)	3.16	(2.88)	14.80
JPM	1.03	0.25	0.17	2.16	1.11	(1.17)	1.92	(1.42)	15.87
MRK	1.00	(0.16)	0.00	(2.55)	0.00	0.00	1.74	(2.17)	5.17
XOM	0.76	(0.16)	0.00	(0.30)	0.00	0.00	1.71	(1.67)	6.06

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 iShares iBonds Dec iShares iBonds Dec iShares iBonds Dec iShares iBonds Dec American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne CVS Health Corp Chevron Corp Home Depot International Business Machines

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