US Treasury Correlations

OBIL Etf

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The current 90-days correlation between US Treasury 12 and Rbb Fund is 0.07 (i.e., Significant 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 12 moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

US Treasury Correlation With Market

Excellent diversification

The correlation between US Treasury 12 and DJI is -0.52 (i.e., Excellent diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding US Treasury 12 and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with OBIL Etf

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in US Treasury 12. 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 OBIL Etf

0.89	SHY	iShares 1 3	Pair Corr
0.89	SPTS	SPDR Barclays Short	Pair Corr
0.68	AGZ	iShares Agency Bond	Pair Corr
0.89	FTSD	Franklin Liberty Short	Pair Corr
0.84	UTWO	Rbb Fund	Pair Corr
0.88	XTWO	Bondbloxx ETF Trust	Pair Corr
0.76	XTRE	Bondbloxx ETF Trust	Pair Corr
0.93	TRSY	Xtrackers 0 1	Pair Corr
0.92	SLDR	Global X Short	Pair Corr
0.78	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.61	USD	ProShares Ultra Semi	Pair Corr
0.71	FNGO	MicroSectors FANG Index	Pair Corr
0.69	DFEN	Direxion Daily Aerospace	Pair Corr
0.74	URNM	Sprott Uranium Miners	Pair Corr
0.74	WMT	Walmart Aggressive Push	Pair Corr
0.68	IBM	International Business	Pair Corr
0.67	JPM	JPMorgan Chase	Pair Corr
0.79	MSFT	Microsoft	Pair Corr

Moving against OBIL Etf

0.55	FNGU	MicroSectors FANG Index Symbol Change	Pair Corr
0.5	DIG	ProShares Ultra Oil	Pair Corr
0.66	MRK	Merck Company	Pair Corr
0.59	INTC	Intel Aggressive Push	Pair Corr
0.55	CVX	Chevron Corp	Pair Corr
0.46	JNJ	Johnson Johnson	Pair Corr
0.38	AA	Alcoa Corp	Pair Corr
0.38	XOM	Exxon Mobil Corp Aggressive Push	Pair Corr
0.36	PG	Procter Gamble	Pair Corr
0.32	DD	Dupont De Nemours	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.92	0.75	0.82	0.48	0.69	0.51	0.91	-0.18	0.15	META
MSFT	0.92		0.89	0.84	0.53	0.41	0.43	0.94	-0.46	-0.13	MSFT
UBER	0.75	0.89		0.89	0.45	0.3	0.62	0.9	-0.5	-0.16	UBER
F	0.82	0.84	0.89		0.5	0.59	0.7	0.9	-0.2	0.2	F
T	0.48	0.53	0.45	0.5		0.3	0.15	0.57	-0.13	0.16	T
A	0.69	0.41	0.3	0.59	0.3		0.58	0.52	0.51	0.7	A
CRM	0.51	0.43	0.62	0.7	0.15	0.58		0.54	0.14	0.29	CRM
JPM	0.91	0.94	0.9	0.9	0.57	0.52	0.54		-0.36	0.08	JPM
MRK	-0.18	-0.46	-0.5	-0.2	-0.13	0.51	0.14	-0.36		0.7	MRK
XOM	0.15	-0.13	-0.16	0.2	0.16	0.7	0.29	0.08	0.7		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	+ 0.94	MSFT
MSFT	+ 0.92	META
JPM	+ 0.91	META
JPM	+ 0.9	UBER
JPM	+ 0.9	F
UBER	+ 0.89	MSFT

High negative correlations

MRK	- 0.5	UBER
MRK	- 0.46	MSFT
MRK	- 0.36	JPM
MRK	- 0.2	F
MRK	- 0.18	META
XOM	- 0.16	UBER

US Treasury Competition Risk-Adjusted Indicators

There is a big difference between OBIL 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	2.08	0.24	0.09	0.18	2.46	(2.36)	4.23	(4.29)	21.50
MSFT	1.22	0.32	0.20	0.35	1.15	(1.34)	2.40	(2.36)	13.79
UBER	1.88	0.23	0.10	0.20	2.29	(2.04)	4.19	(3.48)	16.18
F	1.71	0.11	0.04	0.14	2.24	(1.75)	2.90	(3.84)	13.07
T	1.14	0.08	0.03	0.29	1.79	(1.14)	2.01	(2.62)	8.83
A	1.77	(0.10)	0.00	(0.06)	0.00	0.00	2.76	(4.15)	14.45
CRM	1.59	(0.11)	0.00	(0.07)	0.00	0.00	3.01	(3.64)	13.13
JPM	1.32	0.23	0.10	0.23	1.95	(1.38)	2.75	(2.12)	11.14
MRK	1.62	(0.26)	0.00	(0.35)	0.00	0.00	2.55	(4.72)	10.58
XOM	1.29	0.02	0.00	0.05	2.27	(1.20)	2.62	(2.77)	10.53

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