US Treasury Correlations

UTRE Etf

49.86 0.01 0.02%

The current 90-days correlation between US Treasury 3 and US Treasury 20 is 0.75 (i.e., Poor diversification). The correlation of US Treasury 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.

US Treasury Correlation With Market

Good diversification

The correlation between US Treasury 3 and DJI is -0.01 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding US Treasury 3 and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with UTRE Etf

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in US Treasury 3. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in real.

Moving together with UTRE Etf

0.97	SHY	iShares 1 3	Pair Corr
0.9	LMBS	First Trust Low	Pair Corr
0.97	SPTS	SPDR Barclays Short	Pair Corr
0.96	AGZ	iShares Agency Bond	Pair Corr
0.9	FTSD	Franklin Liberty Short	Pair Corr
0.94	UTWO	Rbb Fund	Pair Corr
0.94	XTWO	Bondbloxx ETF Trust	Pair Corr
1.0	XTRE	Bondbloxx ETF Trust	Pair Corr
0.85	TRSY	Xtrackers 0 1	Pair Corr
0.91	SLDR	Global X Short	Pair Corr
0.76	EMM	Global X Funds	Pair Corr
0.71	HBTA	Horizon Funds	Pair Corr
0.63	BST	BlackRock Science Tech	Pair Corr
0.81	TAXT	Northern Trust Tax	Pair Corr
0.72	QQQ	Invesco QQQ Trust	Pair Corr
0.81	SLV	iShares Silver Trust	Pair Corr
0.72	NVBU	AllianzIM Equity Buffer15	Pair Corr
0.77	NMAY	Innovator Growth 100	Pair Corr
0.77	ESGE	iShares ESG Aware Sell-off Trend	Pair Corr
0.8	SGDJ	Sprott Junior Gold	Pair Corr
0.77	JEPQ	JPMorgan Nasdaq Equity	Pair Corr
0.61	XHYT	BondBloxx ETF Trust	Pair Corr
0.68	JNK	SPDR Bloomberg High Sell-off Trend	Pair Corr
0.79	FEMR	Fidelity Covington Trust	Pair Corr
0.88	VTIP	Vanguard Short Term	Pair Corr
0.61	GOP	Unusual Whales Subversive Symbol Change	Pair Corr
0.97	SHAG	WisdomTree Yield Enhanced	Pair Corr
0.76	ICLN	iShares Global Clean	Pair Corr
0.84	PULT	Putnam ETF Trust	Pair Corr
0.71	IYW	iShares Technology ETF	Pair Corr
0.88	XTWY	Bondbloxx ETF Trust	Pair Corr

Moving against UTRE Etf

0.46	PDT	John Hancock Premium	Pair Corr
0.45	GPGCX	Grandeur Peak Global	Pair Corr
0.32	GDO	Western Asset Global	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.16	0.38	-0.75	0.75	-0.71	0.0	-0.44	-0.64	-0.59	META
MSFT	0.16		0.44	0.28	-0.36	0.37	0.19	0.14	0.11	0.16	MSFT
UBER	0.38	0.44		-0.16	0.22	-0.27	-0.08	0.25	-0.43	-0.09	UBER
F	-0.75	0.28	-0.16		-0.76	0.77	0.22	0.44	0.62	0.71	F
T	0.75	-0.36	0.22	-0.76		-0.91	-0.18	-0.36	-0.58	-0.52	T
A	-0.71	0.37	-0.27	0.77	-0.91		0.14	0.41	0.67	0.58	A
CRM	0.0	0.19	-0.08	0.22	-0.18	0.14		-0.22	-0.13	0.0	CRM
JPM	-0.44	0.14	0.25	0.44	-0.36	0.41	-0.22		0.05	0.64	JPM
MRK	-0.64	0.11	-0.43	0.62	-0.58	0.67	-0.13	0.05		0.41	MRK
XOM	-0.59	0.16	-0.09	0.71	-0.52	0.58	0.0	0.64	0.41		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

A	+ 0.77	F
T	+ 0.75	META
XOM	+ 0.71	F
MRK	+ 0.67	A
XOM	+ 0.64	JPM
MRK	+ 0.62	F

High negative correlations

A	- 0.91	T
T	- 0.76	F
F	- 0.75	META
A	- 0.71	META
MRK	- 0.64	META
XOM	- 0.59	META

US Treasury Competition Risk-Adjusted Indicators

There is a big difference between UTRE Etf performing well and US Treasury 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 US Treasury'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	1.25	(0.40)	0.00	(0.42)	0.00	0.00	1.87	(2.72)	13.52
MSFT	0.82	(0.10)	0.00	(0.09)	0.00	0.00	1.85	(2.19)	5.08
UBER	1.42	(0.07)	0.00	(0.05)	0.00	0.00	3.34	(2.71)	9.09
F	1.41	0.21	0.10	5.49	1.52	(1.62)	3.66	(2.07)	16.30
T	0.97	(0.17)	0.00	1.16	0.00	0.00	1.84	(2.32)	6.25
A	1.32	0.27	0.19	0.24	1.12	(1.49)	3.82	(2.15)	11.03
CRM	1.55	(0.01)	0.00	0.09	0.00	0.00	2.93	(3.61)	9.91
JPM	0.86	0.06	0.02	(1.63)	1.29	(0.79)	1.67	(1.91)	5.76
MRK	1.26	0.21	0.15	0.48	1.12	(1.60)	3.84	(2.36)	11.45
XOM	0.91	0.15	0.10	0.67	1.08	(0.89)	1.78	(1.93)	4.71

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