IShares 10 Correlations

TLH Etf

USD 99.24 0.13 0.13%

The current 90-days correlation between iShares 10 20 and iShares 3 7 Year is 0.86 (i.e., Very poor diversification). The correlation of IShares 10 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 10 Correlation With Market

Significant diversification

The correlation between iShares 10 20 Year and DJI is 0.03 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding iShares 10 20 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 10 20 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 bureau of economic analysis.

Moving together with IShares Etf

0.91	TLT	iShares 20 Year	Pair Corr
0.9	IEF	iShares 7 10	Pair Corr
1.0	SPTL	SPDR Barclays Long	Pair Corr
0.9	EDV	Vanguard Extended	Pair Corr
0.89	GOVZ	iShares 25 Year	Pair Corr
1.0	SCHQ	Schwab Long Term	Pair Corr
0.95	BNDD	Quadratic Deflation ETF	Pair Corr
0.96	TYA	Simplify Exchange Traded	Pair Corr
0.97	BND	Vanguard Total Bond	Pair Corr
0.77	VTV	Vanguard Value Index	Pair Corr
0.62	VO	Vanguard Mid Cap	Pair Corr
0.83	VEA	Vanguard FTSE Developed	Pair Corr

Moving against IShares Etf

0.6	MINT	PIMCO Enhanced Short	Pair Corr
0.51	XDEC	First Trust Exchange	Pair Corr
0.49	PJAN	Innovator SP 500	Pair Corr
0.48	BILS	SPDR Series Trust	Pair Corr
0.47	FNGS	MicroSectors FANG ETN	Pair Corr
0.43	TSL	GraniteShares 125x Long	Pair Corr
0.35	BRLN	Blackrock ETF Trust	Pair Corr
0.63	TFLO	iShares Treasury Floating	Pair Corr
0.61	QYLD	Global X NASDAQ	Pair Corr
0.58	ICSH	iShares Ultra Short	Pair Corr
0.57	GSG	iShares SP GSCI	Pair Corr
0.45	YEAR	AB Ultra Short	Pair Corr
0.4	STK	Columbia Seligman Premium	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.73	-0.57	-0.59	0.32	0.57	0.53	0.34	-0.06	-0.67	META
MSFT	0.73		-0.53	-0.24	0.56	0.23	0.65	0.25	-0.1	-0.47	MSFT
UBER	-0.57	-0.53		0.64	-0.58	-0.08	-0.78	-0.56	0.67	0.81	UBER
F	-0.59	-0.24	0.64		0.01	-0.25	-0.2	-0.07	0.2	0.9	F
T	0.32	0.56	-0.58	0.01		0.0	0.8	0.59	-0.45	-0.23	T
A	0.57	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	0.34	0.25	-0.56	-0.07	0.59	0.22	0.7		-0.62	-0.25	JPM
MRK	-0.06	-0.1	0.67	0.2	-0.45	0.32	-0.59	-0.62		0.32	MRK
XOM	-0.67	-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

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

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

XOM	+ 0.9	F
XOM	+ 0.81	UBER
CRM	+ 0.8	T
MSFT	+ 0.73	META
JPM	+ 0.7	CRM
MRK	+ 0.67	UBER

High negative correlations

CRM	- 0.78	UBER
XOM	- 0.67	META
MRK	- 0.62	JPM
MRK	- 0.59	CRM
F	- 0.59	META
T	- 0.58	UBER

IShares 10 Competition Risk-Adjusted Indicators

There is a big difference between IShares Etf performing well and IShares 10 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 10'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	1.36	0.06	0.03	0.21	1.51	(1.56)	3.43	(3.15)	7.43
MSFT	0.92	0.04	0.01	1.07	1.58	(0.87)	2.09	(1.73)	8.14
UBER	1.63	(0.33)	0.00	(26.89)	0.00	0.00	2.67	(5.35)	12.29
F	1.38	(0.08)	0.00	(0.17)	0.00	0.00	2.38	(2.81)	11.21
T	0.97	0.08	0.06	0.24	1.10	(1.04)	1.91	(1.84)	7.96
A	1.21	0.03	0.01	0.09	1.45	(1.33)	2.72	(2.42)	8.06
CRM	1.41	0.17	0.10	0.79	1.45	(1.59)	3.16	(2.88)	14.80
JPM	1.03	0.25	0.17	1.11	1.11	(1.17)	1.92	(1.42)	15.87
MRK	1.00	(0.17)	0.00	(0.68)	0.00	0.00	1.74	(2.17)	5.17
XOM	0.76	(0.15)	0.00	(0.37)	0.00	0.00	1.71	(1.67)	6.06

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

2024 Macroaxis LLC