AB Active Correlations

TAFM Etf

25.61 0.06 0.23%

The current 90-days correlation between AB Active ETFs and VanEck Short High is 0.38 (i.e., Weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AB Active moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AB Active ETFs moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

AB Active Correlation With Market

Good diversification

The correlation between AB Active ETFs and DJI is -0.07 (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.

Build AI portfolio with TAFM Etf

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 TAFM Etf

0.93	MUB	iShares National Muni	Pair Corr
0.95	VTEB	Vanguard Tax Exempt	Pair Corr
0.87	FMB	First Trust Managed	Pair Corr
0.85	ITM	VanEck Intermediate Muni	Pair Corr
0.84	DFNM	Dimensional ETF Trust	Pair Corr
0.87	MMIT	IQ MacKay Municipal	Pair Corr
0.89	HMOP	Hartford Municipal	Pair Corr
0.93	TAXF	American Century Div	Pair Corr
0.93	JMUB	JPMorgan Municipal	Pair Corr
0.81	MUST	Columbia Multi Sector	Pair Corr
0.65	BND	Vanguard Total Bond	Pair Corr
0.61	VEA	Vanguard FTSE Developed	Pair Corr
0.61	JEPI	JPMorgan Equity Premium	Pair Corr
0.62	DD	Dupont De Nemours	Pair Corr
0.63	AA	Alcoa Corp	Pair Corr
0.69	AXP	American Express	Pair Corr
0.61	CAT	Caterpillar	Pair Corr
0.68	BAC	Bank of America Earnings Call This Week	Pair Corr

Moving against TAFM Etf

0.45	MSFT	Microsoft	Pair Corr
0.37	PG	Procter Gamble	Pair Corr
0.35	HD	Home Depot	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.63	0.38	-0.48	0.26	-0.32	0.31	-0.26	-0.37	-0.47	META
MSFT	0.63		0.84	-0.56	0.43	-0.03	-0.04	-0.48	-0.82	-0.65	MSFT
UBER	0.38	0.84		-0.55	0.47	0.2	-0.24	-0.48	-0.83	-0.63	UBER
F	-0.48	-0.56	-0.55		-0.68	0.24	0.36	0.58	0.68	0.77	F
T	0.26	0.43	0.47	-0.68		0.25	-0.67	-0.62	-0.45	-0.57	T
A	-0.32	-0.03	0.2	0.24	0.25		-0.48	-0.27	0.01	0.0	A
CRM	0.31	-0.04	-0.24	0.36	-0.67	-0.48		0.54	0.27	0.32	CRM
JPM	-0.26	-0.48	-0.48	0.58	-0.62	-0.27	0.54		0.65	0.66	JPM
MRK	-0.37	-0.82	-0.83	0.68	-0.45	0.01	0.27	0.65		0.8	MRK
XOM	-0.47	-0.65	-0.63	0.77	-0.57	0.0	0.32	0.66	0.8		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

UBER	+ 0.84	MSFT
XOM	+ 0.8	MRK
XOM	+ 0.77	F
MRK	+ 0.68	F
XOM	+ 0.66	JPM
MRK	+ 0.65	JPM

High negative correlations

MRK	- 0.83	UBER
MRK	- 0.82	MSFT
T	- 0.68	F
CRM	- 0.67	T
XOM	- 0.65	MSFT
XOM	- 0.63	UBER

AB Active Competition Risk-Adjusted Indicators

There is a big difference between TAFM 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	1.36	(0.20)	0.00	(0.12)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.91	(0.18)	0.00	(0.27)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.54	(0.28)	0.00	(0.19)	0.00	0.00	2.60	(3.82)	10.23
F	1.44	0.18	0.14	0.22	1.32	(1.68)	3.38	(2.35)	16.30
T	0.88	(0.14)	0.00	(0.52)	0.00	0.00	1.61	(1.83)	5.75
A	1.13	0.01	0.02	0.09	1.26	(1.22)	2.34	(2.22)	6.50
CRM	1.51	0.06	0.02	0.16	1.92	(1.53)	3.66	(2.92)	9.91
JPM	1.12	0.10	0.01	1.54	1.44	(1.17)	2.34	(2.28)	7.02
MRK	1.22	0.30	0.22	0.45	1.05	(1.52)	3.59	(1.98)	8.09
XOM	1.04	0.12	0.05	0.44	1.06	(1.15)	2.21	(1.93)	5.82

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