IShares 0 Correlations

SHYG Etf

USD 43.05 0.02 0.05%

The current 90-days correlation between iShares 0 5 and SPDR Bloomberg Short is 0.96 (i.e., Almost no diversification). The correlation of IShares 0 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 0 Correlation With Market

Very weak diversification

The correlation between iShares 0 5 Year and DJI is 0.58 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding iShares 0 5 Year and DJI in the same portfolio, assuming nothing else is changed.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in iShares 0 5 Year. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in manufacturing.

Moving together with IShares Etf

0.96	HYG	iShares iBoxx High	Pair Corr
0.97	USHY	iShares Broad USD	Pair Corr
0.95	JNK	SPDR Bloomberg High	Pair Corr
0.97	HYLB	Xtrackers USD High	Pair Corr
1.0	SJNK	SPDR Bloomberg Short	Pair Corr
0.79	ANGL	VanEck Fallen Angel	Pair Corr
0.87	FALN	iShares Fallen Angels	Pair Corr
0.93	HYLS	First Trust Tactical	Pair Corr
0.86	SIXD	AIM ETF Products	Pair Corr
0.88	CEFD	ETRACS Monthly Pay	Pair Corr
0.79	TSJA	TSJA	Pair Corr
0.81	DSJA	DSJA	Pair Corr
0.89	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.81	HD	Home Depot	Pair Corr
0.81	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr
0.63	GE	GE Aerospace Fiscal Year End 28th of January 2025	Pair Corr
0.64	HPQ	HP Inc	Pair Corr
0.71	DIS	Walt Disney Aggressive Push	Pair Corr
0.81	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr

Moving against IShares Etf

0.75	VIIX	VIIX	Pair Corr
0.65	ULE	ProShares Ultra Euro	Pair Corr
0.62	YCL	ProShares Ultra Yen	Pair Corr
0.59	FXY	Invesco CurrencyShares	Pair Corr
0.86	BA	Boeing Fiscal Year End 29th of January 2025	Pair Corr
0.67	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.56	JNJ	Johnson Johnson Fiscal Year End 28th of January 2025	Pair Corr
0.55	KO	Coca Cola Aggressive Push	Pair Corr
0.45	PFE	Pfizer Inc Fiscal Year End 4th of February 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.27	0.58	-0.01	0.64	0.02	0.73	0.31	-0.58	0.74	META
MSFT	0.27		0.22	0.12	0.18	-0.03	0.04	-0.16	0.1	-0.18	MSFT
UBER	0.58	0.22		0.0	0.09	0.23	0.12	-0.03	-0.01	0.42	UBER
F	-0.01	0.12	0.0		-0.03	-0.36	0.33	0.61	-0.22	0.27	F
T	0.64	0.18	0.09	-0.03		-0.44	0.7	0.43	-0.73	0.38	T
A	0.02	-0.03	0.23	-0.36	-0.44		-0.45	-0.64	0.62	0.02	A
CRM	0.73	0.04	0.12	0.33	0.7	-0.45		0.8	-0.92	0.67	CRM
JPM	0.31	-0.16	-0.03	0.61	0.43	-0.64	0.8		-0.82	0.48	JPM
MRK	-0.58	0.1	-0.01	-0.22	-0.73	0.62	-0.92	-0.82		-0.55	MRK
XOM	0.74	-0.18	0.42	0.27	0.38	0.02	0.67	0.48	-0.55		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	+ 0.8	CRM
XOM	+ 0.74	META
CRM	+ 0.73	META
CRM	+ 0.7	T
XOM	+ 0.67	CRM
T	+ 0.64	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.73	T
JPM	- 0.64	A
MRK	- 0.58	META
XOM	- 0.55	MRK

IShares 0 Competition Risk-Adjusted Indicators

There is a big difference between IShares Etf performing well and IShares 0 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 0's 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	1.07	0.05	0.02	0.16	1.41	(1.15)	2.62	(3.15)	8.02
MSFT	0.89	(0.10)	0.00	(0.05)	0.00	0.00	2.08	(2.03)	8.19
UBER	1.56	(0.15)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.40	(0.09)	(0.02)	0.02	2.20	(1.37)	2.53	(2.90)	11.72
T	0.91	0.26	0.16	(47.59)	0.84	(1.03)	2.56	(1.72)	6.47
A	1.09	(0.16)	0.00	(0.27)	0.00	0.00	2.11	(2.42)	9.02
CRM	1.25	0.24	0.20	0.30	0.94	(1.47)	3.18	(1.91)	9.09
JPM	1.09	0.03	0.06	0.10	1.43	(1.11)	2.05	(2.00)	15.87
MRK	0.83	(0.26)	0.00	(1.64)	0.00	0.00	1.68	(2.13)	4.89
XOM	1.03	0.04	0.00	0.15	1.22	(1.09)	2.14	(2.09)	5.78

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