Invesco DB Correlations

UDN Etf

USD 18.57 0.04 0.21%

The current 90-days correlation between Invesco DB Dollar and Invesco DB Dollar is 0.26 (i.e., Modest diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Invesco DB moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Invesco DB Dollar moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Invesco DB Correlation With Market

Average diversification

The correlation between Invesco DB Dollar and DJI is 0.15 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Invesco DB Dollar and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Invesco Etf

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

Moving together with Invesco Etf

0.63	CEFD	ETRACS Monthly Pay	Pair Corr
0.79	PMBS	PIMCO Mortgage Backed	Pair Corr
0.63	ITDD	iShares Trust	Pair Corr
0.65	CAT	Caterpillar	Pair Corr
0.71	IBM	International Business Earnings Call This Week	Pair Corr
0.68	CSCO	Cisco Systems	Pair Corr
0.7	CVX	Chevron Corp	Pair Corr
0.62	BAC	Bank of America	Pair Corr

Moving against Invesco Etf

0.91	EUO	ProShares UltraShort Euro	Pair Corr
0.81	UUP	Invesco DB Dollar	Pair Corr
0.72	MCD	McDonalds	Pair Corr
0.52	VIXY	ProShares VIX Short	Pair Corr
0.51	VXX	iPath Series B	Pair Corr
0.42	HPQ	HP Inc	Pair Corr
0.34	PG	Procter Gamble	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.98	0.84	0.82	0.55	0.93	0.29	0.94	0.23	0.57	META
MSFT	0.98		0.87	0.85	0.52	0.89	0.29	0.96	0.24	0.59	MSFT
UBER	0.84	0.87		0.9	0.42	0.81	0.54	0.88	0.21	0.54	UBER
F	0.82	0.85	0.9		0.4	0.84	0.28	0.91	0.43	0.73	F
T	0.55	0.52	0.42	0.4		0.57	0.17	0.5	0.27	0.16	T
A	0.93	0.89	0.81	0.84	0.57		0.24	0.89	0.37	0.63	A
CRM	0.29	0.29	0.54	0.28	0.17	0.24		0.23	-0.26	-0.08	CRM
JPM	0.94	0.96	0.88	0.91	0.5	0.89	0.23		0.32	0.68	JPM
MRK	0.23	0.24	0.21	0.43	0.27	0.37	-0.26	0.32		0.56	MRK
XOM	0.57	0.59	0.54	0.73	0.16	0.63	-0.08	0.68	0.56		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	+ 0.98	META
JPM	+ 0.96	MSFT
JPM	+ 0.94	META
A	+ 0.93	META
JPM	+ 0.91	F
F	+ 0.9	UBER

High negative correlations

MRK	- 0.26	CRM
XOM	- 0.08	CRM

Invesco DB Constituents Risk-Adjusted Indicators

There is a big difference between Invesco Etf performing well and Invesco DB 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 Invesco DB'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	1.51	0.26	0.21	0.32	1.10	(1.82)	3.99	(2.35)	10.48
MSFT	0.90	0.30	0.27	0.47	0.54	(1.09)	2.33	(1.08)	8.85
UBER	1.64	0.20	0.13	0.33	1.40	(2.08)	4.19	(2.54)	10.87
F	1.32	0.14	0.06	0.32	1.47	(1.42)	2.69	(2.61)	7.46
T	1.02	(0.05)	(0.10)	0.00	1.35	(1.06)	2.35	(2.35)	5.71
A	1.46	(0.07)	0.00	0.09	1.81	(1.51)	2.54	(2.89)	14.01
CRM	1.33	(0.13)	(0.04)	0.04	1.74	(1.28)	2.95	(3.19)	9.31
JPM	0.90	0.22	0.18	0.38	0.67	(1.02)	2.25	(1.36)	6.03
MRK	1.39	(0.09)	(0.05)	0.04	1.96	(1.32)	2.88	(3.31)	10.58
XOM	1.08	0.14	0.00	(9.00)	1.19	(1.12)	2.40	(2.51)	5.84

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