AIM ETF Correlations

FEBT Etf

34.04 0.09 0.26%

The current 90-days correlation between AIM ETF Products and AIM ETF Products is 0.05 (i.e., Significant diversification). The correlation of AIM 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.

AIM ETF Correlation With Market

Very weak diversification

The correlation between AIM ETF Products and DJI is 0.48 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding AIM ETF Products and DJI in the same portfolio, assuming nothing else is changed.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in AIM ETF Products. 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 AIM Etf

0.74	INOV	Innovator ETFs Trust	Pair Corr
0.89	BUFR	First Trust Cboe	Pair Corr
0.9	BUFD	FT Cboe Vest	Pair Corr
0.86	PSEP	Innovator SP 500	Pair Corr
0.94	PJAN	Innovator SP 500	Pair Corr
0.87	PJUL	Innovator SP 500	Pair Corr
0.88	PAUG	Innovator Equity Power	Pair Corr
0.78	DNOV	FT Cboe Vest	Pair Corr
0.96	PMAY	Innovator SP 500	Pair Corr
0.93	PJUN	Innovator SP 500	Pair Corr
0.65	SPY	SPDR SP 500	Pair Corr
0.65	IVV	iShares Core SP	Pair Corr
0.66	VUG	Vanguard Growth Index	Pair Corr
0.71	VEA	Vanguard FTSE Developed Sell-off Trend	Pair Corr
0.78	RXI	iShares Global Consumer	Pair Corr
0.7	T	ATT Inc Aggressive Push	Pair Corr
0.75	AXP	American Express	Pair Corr
0.87	JPM	JPMorgan Chase	Pair Corr
0.81	GE	GE Aerospace	Pair Corr
0.85	MMM	3M Company	Pair Corr
0.88	CSCO	Cisco Systems	Pair Corr
0.84	WMT	Walmart	Pair Corr

Moving against AIM Etf

0.72	MRK	Merck Company Aggressive Push	Pair Corr
0.65	AA	Alcoa Corp	Pair Corr
0.48	TRV	The Travelers Companies	Pair Corr
0.43	XOM	Exxon Mobil Corp Aggressive Push	Pair Corr
0.4	CAT	Caterpillar	Pair Corr
0.33	PG	Procter Gamble	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.35	0.51	-0.71	0.82	0.42	-0.1	0.83	-0.78	-0.42	META
MSFT	-0.35		-0.62	0.24	-0.42	0.21	0.69	-0.46	0.58	-0.18	MSFT
UBER	0.51	-0.62		-0.12	0.72	-0.03	-0.48	0.71	-0.74	0.38	UBER
F	-0.71	0.24	-0.12		-0.38	-0.21	0.29	-0.41	0.55	0.78	F
T	0.82	-0.42	0.72	-0.38		0.11	-0.12	0.75	-0.78	-0.02	T
A	0.42	0.21	-0.03	-0.21	0.11		0.21	0.54	-0.03	-0.33	A
CRM	-0.1	0.69	-0.48	0.29	-0.12	0.21		-0.24	0.41	-0.09	CRM
JPM	0.83	-0.46	0.71	-0.41	0.75	0.54	-0.24		-0.78	-0.09	JPM
MRK	-0.78	0.58	-0.74	0.55	-0.78	-0.03	0.41	-0.78		0.1	MRK
XOM	-0.42	-0.18	0.38	0.78	-0.02	-0.33	-0.09	-0.09	0.1		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	+ 0.83	META
T	+ 0.82	META
XOM	+ 0.78	F
JPM	+ 0.75	T
T	+ 0.72	UBER
JPM	+ 0.71	UBER

High negative correlations

MRK	- 0.78	JPM
MRK	- 0.78	T
MRK	- 0.78	META
MRK	- 0.74	UBER
F	- 0.71	META
UBER	- 0.62	MSFT

AIM ETF Competition Risk-Adjusted Indicators

There is a big difference between AIM Etf performing well and AIM 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 AIM 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	1.31	0.26	0.15	(5.33)	1.48	(1.33)	3.22	(2.31)	7.11
MSFT	0.97	(0.03)	0.00	(0.12)	0.00	0.00	2.20	(1.90)	10.31
UBER	1.93	0.09	0.03	8.55	2.95	(1.87)	4.72	(5.35)	12.29
F	1.36	(0.19)	0.00	(0.25)	0.00	0.00	2.46	(2.90)	10.97
T	0.93	0.27	0.23	0.52	0.93	(1.08)	1.80	(1.75)	7.94
A	1.08	0.10	0.09	0.14	1.02	(1.33)	2.81	(1.91)	6.12
CRM	1.43	(0.06)	0.00	(0.08)	0.00	0.00	3.10	(2.95)	15.92
JPM	0.88	0.10	0.09	0.13	1.16	(0.99)	1.92	(1.43)	6.85
MRK	1.23	(0.06)	0.00	(1.21)	0.00	0.00	2.43	(1.81)	11.57
XOM	0.93	(0.09)	0.00	(0.17)	0.00	0.00	1.76	(2.14)	5.69

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