US Treasury Correlations

XBIL Etf

50.14 0.01 0.02%

The current 90-days correlation between US Treasury 6 and Rbb Fund is 0.36 (i.e., Weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as US Treasury moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if US Treasury 6 moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

US Treasury Correlation With Market

Good diversification

The correlation between US Treasury 6 and DJI is -0.04 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding US Treasury 6 and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with XBIL Etf

Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in US Treasury 6. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving together with XBIL Etf

1.0	BIL	SPDR Bloomberg 1	Pair Corr
1.0	SHV	iShares Short Treasury	Pair Corr
1.0	JPST	JPMorgan Ultra Short	Pair Corr
1.0	USFR	WisdomTree Floating Rate	Pair Corr
1.0	ICSH	iShares Ultra Short	Pair Corr
0.99	FTSM	First Trust Enhanced	Pair Corr
1.0	SGOV	iShares 0 3	Pair Corr
1.0	GBIL	Goldman Sachs Access	Pair Corr
1.0	TFLO	iShares Treasury Floating	Pair Corr
1.0	FLRN	SPDR Bloomberg Investment	Pair Corr
0.86	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.98	USD	ProShares Ultra Semi	Pair Corr
0.94	FNGO	MicroSectors FANG Index	Pair Corr
0.85	BITO	ProShares Bitcoin	Pair Corr
0.82	NRGU	Bank of Montreal	Pair Corr
0.97	DFEN	Direxion Daily Aerospace	Pair Corr
0.95	FNGG	Direxion Daily Select	Pair Corr
0.95	CRPT	First Trust SkyBridge	Pair Corr
0.94	BITS	Global X Blockchain	Pair Corr
0.96	BULZ	MicroSectors Solactive	Pair Corr
0.74	KWEB	KraneShares CSI China	Pair Corr
0.96	KEMQ	KraneShares Emerging	Pair Corr
0.91	CVX	Chevron Corp Earnings Call This Week	Pair Corr
0.9	GE	GE Aerospace Sell-off Trend	Pair Corr
0.67	INTC	Intel	Pair Corr
0.88	BA	Boeing	Pair Corr
0.94	MSFT	Microsoft Earnings Call Today	Pair Corr
0.97	CAT	Caterpillar Earnings Call This Week	Pair Corr
0.85	DIS	Walt Disney Earnings Call This Week	Pair Corr
0.84	AXP	American Express	Pair Corr
0.66	JNJ	Johnson Johnson	Pair Corr
0.86	DD	Dupont De Nemours	Pair Corr
0.8	IBM	International Business	Pair Corr

Moving against XBIL Etf

0.79	MCD	McDonalds Earnings Call This Week	Pair Corr
0.48	PG	Procter Gamble	Pair Corr
0.41	TRV	The Travelers Companies	Pair Corr
0.33	HPQ	HP Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.96	0.76	0.75	0.45	0.89	-0.17	0.9	0.22	0.55	META
MSFT	0.96		0.79	0.81	0.4	0.83	-0.18	0.94	0.27	0.54	MSFT
UBER	0.76	0.79		0.86	0.26	0.72	0.25	0.8	0.17	0.46	UBER
F	0.75	0.81	0.86		0.29	0.77	-0.09	0.88	0.46	0.71	F
T	0.45	0.4	0.26	0.29		0.48	-0.13	0.39	0.26	0.17	T
A	0.89	0.83	0.72	0.77	0.48		-0.15	0.83	0.39	0.67	A
CRM	-0.17	-0.18	0.25	-0.09	-0.13	-0.15		-0.2	-0.47	-0.33	CRM
JPM	0.9	0.94	0.8	0.88	0.39	0.83	-0.2		0.38	0.62	JPM
MRK	0.22	0.27	0.17	0.46	0.26	0.39	-0.47	0.38		0.54	MRK
XOM	0.55	0.54	0.46	0.71	0.17	0.67	-0.33	0.62	0.54		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

MSFT	+ 0.96	META
JPM	+ 0.94	MSFT
JPM	+ 0.9	META
A	+ 0.89	META
JPM	+ 0.88	F
F	+ 0.86	UBER

High negative correlations

MRK	- 0.47	CRM
XOM	- 0.33	CRM
JPM	- 0.2	CRM
CRM	- 0.18	MSFT
CRM	- 0.17	META
CRM	- 0.15	A

US Treasury Competition Risk-Adjusted Indicators

There is a big difference between XBIL 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	1.33	0.27	0.27	0.40	0.67	(1.62)	3.62	(1.93)	10.48
MSFT	0.77	0.35	0.50	0.70	0.00	(0.98)	2.33	(0.94)	8.85
UBER	1.53	0.11	0.09	0.28	1.35	(1.91)	4.19	(2.02)	10.87
F	1.29	0.07	0.04	0.26	1.40	(1.40)	2.69	(2.33)	7.46
T	0.95	0.01	(0.11)	0.24	1.21	(1.00)	2.03	(2.23)	5.71
A	1.46	(0.14)	0.01	0.11	1.75	(1.54)	2.82	(2.89)	14.01
CRM	1.16	(0.13)	(0.04)	0.09	1.49	(1.13)	2.76	(2.57)	9.31
JPM	0.80	0.16	0.14	0.35	0.55	(0.93)	1.86	(1.31)	5.90
MRK	1.39	(0.12)	(0.03)	0.09	1.86	(1.33)	2.90	(3.31)	10.58
XOM	1.05	0.04	(0.07)	0.42	1.37	(1.01)	2.14	(2.58)	6.26

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