VictoryShares USAA Correlations

UITB Etf

USD 46.78 0.10 0.21%

The current 90-days correlation between VictoryShares USAA Core and VictoryShares USAA Core is 0.73 (i.e., Poor diversification). The correlation of VictoryShares USAA 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.

VictoryShares USAA Correlation With Market

Average diversification

The correlation between VictoryShares USAA Core and DJI is 0.12 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding VictoryShares USAA Core and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with VictoryShares Etf

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

Moving together with VictoryShares Etf

0.72	BND	Vanguard Total Bond	Pair Corr
0.93	AGG	iShares Core Aggregate	Pair Corr
0.91	BIV	Vanguard Intermediate	Pair Corr
0.67	SPAB	SPDR Portfolio Aggregate	Pair Corr
1.0	EAGG	iShares ESG Aggregate	Pair Corr
0.92	PMBS	PIMCO Mortgage Backed	Pair Corr
0.86	HIDE	Alpha Architect High	Pair Corr
0.63	VBF	Invesco Van Kampen	Pair Corr
0.61	EUSB	iShares Trust	Pair Corr
0.81	SPIB	SPDR Barclays Interm	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.98	0.83	0.8	0.55	0.92	0.22	0.93	0.22	0.52	META
MSFT	0.98		0.86	0.84	0.5	0.86	0.22	0.96	0.27	0.51	MSFT
UBER	0.83	0.86		0.89	0.4	0.79	0.49	0.87	0.23	0.46	UBER
F	0.8	0.84	0.89		0.39	0.81	0.21	0.9	0.41	0.69	F
T	0.55	0.5	0.4	0.39		0.56	0.15	0.48	0.17	0.2	T
A	0.92	0.86	0.79	0.81	0.56		0.19	0.86	0.29	0.64	A
CRM	0.22	0.22	0.49	0.21	0.15	0.19		0.15	-0.28	-0.17	CRM
JPM	0.93	0.96	0.87	0.9	0.48	0.86	0.15		0.32	0.6	JPM
MRK	0.22	0.27	0.23	0.41	0.17	0.29	-0.28	0.32		0.51	MRK
XOM	0.52	0.51	0.46	0.69	0.2	0.64	-0.17	0.6	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

MSFT	+ 0.98	META
JPM	+ 0.96	MSFT
JPM	+ 0.93	META
A	+ 0.92	META
JPM	+ 0.9	F
F	+ 0.89	UBER

High negative correlations

MRK	- 0.28	CRM
XOM	- 0.17	CRM

VictoryShares USAA Competition Risk-Adjusted Indicators

There is a big difference between VictoryShares Etf performing well and VictoryShares USAA 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 VictoryShares USAA'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	1.47	0.31	0.27	0.41	0.82	(1.80)	3.99	(2.00)	10.48
MSFT	0.86	0.33	0.38	0.59	0.00	(1.06)	2.33	(1.03)	8.85
UBER	1.61	0.18	0.12	0.34	1.40	(2.02)	4.19	(2.54)	10.87
F	1.30	0.17	0.08	0.40	1.40	(1.42)	2.69	(2.33)	7.46
T	1.00	(0.02)	(0.10)	0.10	1.30	(1.05)	2.35	(2.35)	5.71
A	1.50	(0.07)	0.02	0.12	1.79	(1.57)	2.58	(2.89)	14.01
CRM	1.30	(0.15)	(0.04)	0.06	1.69	(1.29)	2.95	(3.19)	9.31
JPM	0.87	0.22	0.18	0.42	0.58	(0.99)	2.25	(1.31)	6.03
MRK	1.38	0.11	(0.06)	(0.10)	1.96	(1.32)	2.88	(3.31)	10.58
XOM	1.12	0.04	(0.06)	0.32	1.38	(1.11)	2.40	(2.58)	6.28

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