AB Active Correlations

SDFI Etf

35.59 0.04 0.11%

The current 90-days correlation between AB Active ETFs, and Valued Advisers Trust is 0.25 (i.e., Modest diversification). The correlation of AB Active 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.

AB Active Correlation With Market

Good diversification

The correlation between AB Active ETFs, and DJI is -0.1 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding AB Active ETFs, 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 AB Active ETFs,. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in census.

Moving together with SDFI Etf

0.82	BSV	Vanguard Short Term	Pair Corr
0.92	IGSB	iShares 1 5	Pair Corr
0.74	SPSB	SPDR Barclays Short	Pair Corr
0.82	ISTB	iShares Core 1	Pair Corr
0.82	SLQD	iShares 0 5	Pair Corr
0.71	GVI	iShares Intermediate	Pair Corr
0.64	LDUR	PIMCO Enhanced Low	Pair Corr
0.92	SUSB	iShares ESG 1	Pair Corr
0.65	EMCB	WisdomTree Emerging	Pair Corr
0.73	PCY	Invesco Emerging Markets	Pair Corr
0.75	VZ	Verizon Communications Sell-off Trend	Pair Corr

Moving against SDFI Etf

0.45	JPM	JPMorgan Chase Sell-off Trend	Pair Corr
0.39	AEMB	American Century Inv	Pair Corr
0.33	BAC	Bank of America Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.26	0.55	0.07	0.53	0.05	0.64	0.28	-0.53	0.73	META
MSFT	0.26		0.21	0.17	0.16	-0.01	0.03	-0.11	0.13	-0.2	MSFT
UBER	0.55	0.21		-0.06	-0.09	0.27	-0.03	-0.16	0.09	0.35	UBER
F	0.07	0.17	-0.06		0.28	-0.41	0.5	0.7	-0.37	0.32	F
T	0.53	0.16	-0.09	0.28		-0.5	0.81	0.64	-0.79	0.39	T
A	0.05	-0.01	0.27	-0.41	-0.5		-0.46	-0.6	0.63	0.0	A
CRM	0.64	0.03	-0.03	0.5	0.81	-0.46		0.86	-0.91	0.65	CRM
JPM	0.28	-0.11	-0.16	0.7	0.64	-0.6	0.86		-0.83	0.47	JPM
MRK	-0.53	0.13	0.09	-0.37	-0.79	0.63	-0.91	-0.83		-0.56	MRK
XOM	0.73	-0.2	0.35	0.32	0.39	0.0	0.65	0.47	-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

JPM	+ 0.86	CRM
CRM	+ 0.81	T
XOM	+ 0.73	META
JPM	+ 0.7	F
XOM	+ 0.65	CRM
CRM	+ 0.64	META

High negative correlations

MRK	- 0.91	CRM
MRK	- 0.83	JPM
MRK	- 0.79	T
JPM	- 0.6	A
XOM	- 0.56	MRK
MRK	- 0.53	META

AB Active Competition Risk-Adjusted Indicators

There is a big difference between SDFI Etf performing well and AB Active 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 AB Active'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	1.07	0.07	0.02	0.23	1.41	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.04)	(0.05)	0.07	1.50	(0.86)	2.09	(1.85)	8.19
UBER	1.61	(0.11)	(0.04)	0.02	2.32	(1.70)	2.69	(2.53)	20.10
F	1.42	(0.15)	(0.04)	0.03	2.23	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(7.83)	0.86	(1.06)	2.56	(1.72)	6.47
A	1.17	(0.09)	0.00	(0.06)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.31	0.23	0.18	0.34	1.08	(1.53)	3.18	(1.91)	9.98
JPM	1.12	(0.04)	0.05	0.11	1.38	(1.23)	2.05	(2.00)	15.87
MRK	0.91	(0.24)	0.00	(0.86)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.00	(0.03)	(0.07)	0.06	1.31	(1.04)	2.10	(2.09)	5.74

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