Virtus ETF Correlations

SDCP Etf

25.88 0.01 0.04%

The current 90-days correlation between Virtus ETF Trust and Valued Advisers Trust is -0.09 (i.e., Good diversification). The correlation of Virtus ETF 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Virtus ETF Correlation With Market

Significant diversification

The correlation between Virtus ETF Trust and DJI is 0.02 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Virtus ETF Trust 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 Virtus ETF Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.

To learn how to invest in Virtus Etf, please use our How to Invest in Virtus ETF guide.

Moving together with Virtus Etf

0.92	ISTB	iShares Core 1	Pair Corr
0.96	SLQD	iShares 0 5	Pair Corr
0.97	LDUR	PIMCO Enhanced Low	Pair Corr
0.87	SUSB	iShares ESG 1	Pair Corr
0.63	PFE	Pfizer Inc	Pair Corr

Moving against Virtus Etf

0.38	INTC	Intel	Pair Corr
0.45	AA	Alcoa Corp	Pair Corr
0.44	HPQ	HP Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.22	-0.28	-0.51	0.73	0.78	0.44	0.75	-0.44	-0.59	META
MSFT	0.22		-0.53	-0.12	0.2	0.24	0.67	0.09	0.18	-0.36	MSFT
UBER	-0.28	-0.53		0.64	-0.12	-0.03	-0.48	0.03	-0.03	0.78	UBER
F	-0.51	-0.12	0.64		-0.06	-0.35	0.01	-0.13	0.17	0.9	F
T	0.73	0.2	-0.12	-0.06		0.48	0.62	0.67	-0.37	-0.21	T
A	0.78	0.24	-0.03	-0.35	0.48		0.2	0.74	-0.24	-0.4	A
CRM	0.44	0.67	-0.48	0.01	0.62	0.2		0.37	-0.06	-0.28	CRM
JPM	0.75	0.09	0.03	-0.13	0.67	0.74	0.37		-0.57	-0.25	JPM
MRK	-0.44	0.18	-0.03	0.17	-0.37	-0.24	-0.06	-0.57		0.13	MRK
XOM	-0.59	-0.36	0.78	0.9	-0.21	-0.4	-0.28	-0.25	0.13		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

XOM	+ 0.9	F
A	+ 0.78	META
XOM	+ 0.78	UBER
JPM	+ 0.75	META
JPM	+ 0.74	A
T	+ 0.73	META

High negative correlations

XOM	- 0.59	META
MRK	- 0.57	JPM
UBER	- 0.53	MSFT
F	- 0.51	META
CRM	- 0.48	UBER
MRK	- 0.44	META

Virtus ETF Competition Risk-Adjusted Indicators

There is a big difference between Virtus Etf performing well and Virtus ETF 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 Virtus ETF'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	1.32	0.31	0.18	0.77	1.17	(1.50)	3.43	(1.95)	7.43
MSFT	1.02	0.03	(0.03)	0.25	1.63	(0.99)	2.20	(2.14)	10.31
UBER	1.66	(0.03)	0.00	(0.35)	0.00	0.00	3.36	(5.35)	12.29
F	1.46	(0.19)	0.00	(0.18)	0.00	0.00	2.57	(2.90)	9.39
T	0.98	0.10	0.05	0.30	1.04	(1.13)	1.91	(1.84)	7.94
A	1.22	0.15	0.08	0.37	1.12	(1.44)	2.92	(2.16)	8.06
CRM	1.58	0.18	0.07	0.53	1.72	(1.80)	3.70	(2.95)	14.80
JPM	1.02	0.32	0.21	1.00	0.92	(1.24)	1.97	(1.42)	15.87
MRK	1.15	(0.23)	0.00	(0.87)	0.00	0.00	2.00	(2.13)	11.57
XOM	0.89	(0.15)	0.00	(0.21)	0.00	0.00	1.71	(1.93)	6.06

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