Invesco Van Correlations

VBF Etf

USD 15.89 0.05 0.32%

The current 90-days correlation between Invesco Van Kampen and Western Asset High is 0.03 (i.e., Significant diversification). The correlation of Invesco Van 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.

Invesco Van Correlation With Market

Average diversification

The correlation between Invesco Van Kampen and DJI is 0.14 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Invesco Van Kampen and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Invesco Etf

0.72

FNGD

MicroSectors FANG Index

Pair Corr

Moving against Invesco Etf

0.88	VR	VR	Pair Corr
0.86	BTC	Grayscale Bitcoin Mini	Pair Corr
0.85	TPYP	Tortoise North American	Pair Corr
0.83	EOS	Eaton Vance Enhanced	Pair Corr
0.74	ETH	Grayscale Ethereum Mini	Pair Corr
0.74	DRVN	Driven Brands Holdings	Pair Corr
0.73	VB	Vanguard Small Cap	Pair Corr
0.72	JPST	JPMorgan Ultra Short	Pair Corr
0.69	VOO	Vanguard SP 500	Pair Corr
0.39	MPAY	Akros Monthly Payout	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.26	0.53	0.1	0.5	0.07	0.64	0.3	-0.52	0.73	META
MSFT	0.26		0.19	0.2	0.14	0.01	0.04	-0.08	0.13	-0.2	MSFT
UBER	0.53	0.19		-0.06	-0.13	0.28	-0.05	-0.17	0.11	0.35	UBER
F	0.1	0.2	-0.06		0.32	-0.41	0.52	0.71	-0.39	0.32	F
T	0.5	0.14	-0.13	0.32		-0.49	0.82	0.68	-0.8	0.39	T
A	0.07	0.01	0.28	-0.41	-0.49		-0.44	-0.58	0.62	0.0	A
CRM	0.64	0.04	-0.05	0.52	0.82	-0.44		0.87	-0.91	0.64	CRM
JPM	0.3	-0.08	-0.17	0.71	0.68	-0.58	0.87		-0.84	0.46	JPM
MRK	-0.52	0.13	0.11	-0.39	-0.8	0.62	-0.91	-0.84		-0.55	MRK
XOM	0.73	-0.2	0.35	0.32	0.39	0.0	0.64	0.46	-0.55		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	+ 0.87	CRM
CRM	+ 0.82	T
XOM	+ 0.73	META
JPM	+ 0.71	F
JPM	+ 0.68	T
CRM	+ 0.64	META

High negative correlations

MRK	- 0.91	CRM
MRK	- 0.84	JPM
MRK	- 0.8	T
JPM	- 0.58	A
XOM	- 0.55	MRK
MRK	- 0.52	META

Invesco Van Competition Risk-Adjusted Indicators

There is a big difference between Invesco Etf performing well and Invesco Van 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 Van'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	1.11	0.13	0.06	0.31	1.37	(1.22)	2.69	(3.15)	8.02
MSFT	0.92	(0.01)	(0.03)	0.09	1.49	(0.90)	2.09	(1.85)	8.19
UBER	1.63	(0.08)	(0.03)	0.04	2.32	(1.73)	2.69	(2.53)	20.10
F	1.43	(0.16)	(0.04)	0.01	2.21	(1.41)	2.53	(2.90)	11.21
T	0.95	0.00	0.10	0.00	0.95	(1.06)	2.56	(1.86)	6.47
A	1.17	(0.08)	0.00	(0.05)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.29	0.26	0.20	0.34	1.06	(1.50)	3.18	(1.91)	9.98
JPM	1.14	(0.04)	0.04	0.09	1.38	(1.25)	2.05	(2.00)	15.87
MRK	0.92	(0.26)	0.00	(0.91)	0.00	0.00	2.00	(2.13)	4.89
XOM	0.98	(0.05)	(0.08)	0.02	1.32	(1.03)	2.10	(2.09)	5.74

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