US Treasury Correlations

OBIL Etf

50.00 0.01 0.02%

The current 90-days correlation between US Treasury 12 and Rbb Fund is 0.17 (i.e., Average 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

Good diversification

The correlation between US Treasury 12 and DJI is -0.11 (i.e., Good 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.

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

0.7	SHY	iShares 1 3 Sell-off Trend	Pair Corr
0.61	LMBS	First Trust Low	Pair Corr
0.71	SPTS	SPDR Barclays Short	Pair Corr
0.97	FTSD	Franklin Liberty Short	Pair Corr
0.62	UTWO	Rbb Fund	Pair Corr
0.65	XTWO	Bondbloxx ETF Trust	Pair Corr
0.61	MLPR	ETRACS Quarterly Pay	Pair Corr
0.73	IUSG	iShares Core SP	Pair Corr
0.88	IAU	iShares Gold Trust	Pair Corr
0.81	JEPQ	JPMorgan Nasdaq Equity	Pair Corr
0.77	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr
0.67	INTC	Intel Aggressive Push	Pair Corr
0.74	DD	Dupont De Nemours Fiscal Year End 4th of February 2025	Pair Corr
0.8	MCD	McDonalds Fiscal Year End 3rd of February 2025	Pair Corr
0.85	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.84	DIS	Walt Disney Earnings Call This Week	Pair Corr
0.92	WMT	Walmart Earnings Call Next Week	Pair Corr
0.73	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr
0.85	HD	Home Depot Earnings Call Tomorrow	Pair Corr
0.63	BAC	Bank of America Aggressive Push	Pair Corr
0.77	IBM	International Business Sell-off Trend	Pair Corr
0.68	VZ	Verizon Communications Sell-off Trend	Pair Corr

Moving against OBIL Etf

0.88

NRGU

Bank Of Montreal

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.35	0.73	0.14	0.71	0.16	0.9	0.39	-0.66	0.68	META
MSFT	0.35		0.33	0.32	0.34	-0.01	0.18	-0.04	0.06	-0.17	MSFT
UBER	0.73	0.33		0.36	0.43	0.08	0.62	0.42	-0.37	0.54	UBER
F	0.14	0.32	0.36		0.16	-0.01	0.21	0.56	0.02	0.13	F
T	0.71	0.34	0.43	0.16		-0.09	0.67	0.33	-0.58	0.23	T
A	0.16	-0.01	0.08	-0.01	-0.09		-0.04	-0.3	0.35	0.24	A
CRM	0.9	0.18	0.62	0.21	0.67	-0.04		0.67	-0.87	0.66	CRM
JPM	0.39	-0.04	0.42	0.56	0.33	-0.3	0.67		-0.65	0.39	JPM
MRK	-0.66	0.06	-0.37	0.02	-0.58	0.35	-0.87	-0.65		-0.51	MRK
XOM	0.68	-0.17	0.54	0.13	0.23	0.24	0.66	0.39	-0.51		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

CRM	+ 0.9	META
UBER	+ 0.73	META
T	+ 0.71	META
XOM	+ 0.68	META
CRM	+ 0.67	T
JPM	+ 0.67	CRM

High negative correlations

MRK	- 0.87	CRM
MRK	- 0.66	META
MRK	- 0.65	JPM
MRK	- 0.58	T
XOM	- 0.51	MRK
MRK	- 0.37	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	1.08	0.11	0.05	0.30	1.20	(1.27)	2.62	(1.87)	8.02
MSFT	0.88	(0.06)	(0.06)	0.09	1.43	(0.86)	2.08	(1.85)	8.19
UBER	1.59	(0.10)	(0.03)	0.07	2.03	(1.78)	2.97	(2.34)	20.10
F	1.40	(0.10)	0.00	0.09	2.20	(1.37)	2.77	(2.54)	11.72
T	0.91	0.24	0.06	(3.02)	1.00	(0.99)	2.56	(1.86)	6.47
A	1.01	(0.07)	(0.11)	0.00	1.44	(0.94)	2.11	(2.11)	9.02
CRM	1.16	0.23	0.21	0.38	0.73	(1.38)	3.16	(1.60)	7.07
JPM	1.08	(0.05)	0.05	0.13	1.42	(1.11)	2.05	(2.00)	15.87
MRK	0.79	(0.17)	0.00	(1.30)	0.00	0.00	1.68	(2.07)	4.89
XOM	1.04	(0.03)	(0.07)	0.10	1.39	(1.05)	2.14	(2.66)	5.78

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