AIM ETF Correlations

SIXD Etf

USD 28.71 0.01 0.03%

The current 90-days correlation between AIM ETF Products and FT Vest Equity is 0.69 (i.e., Poor 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.

AIM ETF Correlation With Market

Significant diversification

The correlation between AIM ETF Products 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 AIM ETF Products and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with AIM Etf

Check out World Market Map 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 national income and product accounts.

Moving together with AIM Etf

0.84	INOV	Innovator ETFs Trust	Pair Corr
0.89	BUFR	First Trust Cboe	Pair Corr
0.88	BUFD	FT Cboe Vest	Pair Corr
0.83	PSEP	Innovator SP 500	Pair Corr
0.95	PJAN	Innovator SP 500	Pair Corr
0.83	PJUL	Innovator SP 500	Pair Corr
0.84	PAUG	Innovator Equity Power	Pair Corr
0.97	DNOV	FT Cboe Vest	Pair Corr
0.9	PMAY	Innovator SP 500	Pair Corr
0.64	INTL	Main International ETF	Pair Corr
0.96	JPST	JPMorgan Ultra Short	Pair Corr
0.82	IGLD	FT Cboe Vest	Pair Corr
0.65	BBBI	BondBloxx ETF Trust	Pair Corr
0.82	AXP	American Express	Pair Corr
0.67	XOM	Exxon Mobil Corp	Pair Corr
0.86	AA	Alcoa Corp	Pair Corr
0.82	CSCO	Cisco Systems	Pair Corr
0.81	INTC	Intel Buyout Trend	Pair Corr
0.7	BAC	Bank of America	Pair Corr
0.68	KO	Coca Cola	Pair Corr
0.94	IBM	International Business	Pair Corr
0.75	GE	GE Aerospace	Pair Corr
0.81	DD	Dupont De Nemours	Pair Corr

Moving against AIM Etf

0.84	FRHC	Freedom Holding Corp	Pair Corr
0.77	FNGD	MicroSectors FANG Index	Pair Corr
0.58	HUM	Humana Inc	Pair Corr
0.44	GSX	Tradr 2X Long	Pair Corr
0.86	T	ATT Inc	Pair Corr
0.81	HD	Home Depot	Pair Corr
0.74	VZ	Verizon Communications	Pair Corr
0.72	HPQ	HP Inc	Pair Corr
0.32	MCD	McDonalds Sell-off Trend	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.5	0.53	-0.76	0.71	-0.74	0.34	-0.14	-0.69	-0.67	META
MSFT	0.5		0.71	-0.08	-0.1	-0.12	0.57	0.2	-0.49	-0.24	MSFT
UBER	0.53	0.71		-0.38	0.25	-0.53	0.47	0.32	-0.76	-0.34	UBER
F	-0.76	-0.08	-0.38		-0.74	0.78	-0.08	0.24	0.64	0.73	F
T	0.71	-0.1	0.25	-0.74		-0.89	0.01	-0.14	-0.51	-0.48	T
A	-0.74	-0.12	-0.53	0.78	-0.89		-0.21	0.05	0.77	0.51	A
CRM	0.34	0.57	0.47	-0.08	0.01	-0.21		-0.11	-0.56	-0.27	CRM
JPM	-0.14	0.2	0.32	0.24	-0.14	0.05	-0.11		-0.12	0.28	JPM
MRK	-0.69	-0.49	-0.76	0.64	-0.51	0.77	-0.56	-0.12		0.51	MRK
XOM	-0.67	-0.24	-0.34	0.73	-0.48	0.51	-0.27	0.28	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

A	+ 0.78	F
MRK	+ 0.77	A
XOM	+ 0.73	F
T	+ 0.71	META
UBER	+ 0.71	MSFT
MRK	+ 0.64	F

High negative correlations

A	- 0.89	T
MRK	- 0.76	UBER
F	- 0.76	META
T	- 0.74	F
A	- 0.74	META
MRK	- 0.69	META

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	1.32	(0.27)	0.00	(0.20)	0.00	0.00	2.18	(2.72)	13.52
MSFT	0.87	(0.10)	0.00	(0.06)	0.00	0.00	1.85	(2.19)	5.08
UBER	1.45	(0.17)	0.00	23.38	0.00	0.00	3.34	(3.30)	10.91
F	1.47	0.18	0.07	0.91	1.66	(1.67)	3.38	(2.35)	16.30
T	0.98	(0.18)	0.00	(0.37)	0.00	0.00	1.84	(2.32)	6.25
A	1.31	0.33	0.24	0.34	1.03	(1.49)	3.93	(2.15)	11.03
CRM	1.66	(0.08)	0.00	0.67	0.00	0.00	3.22	(3.61)	9.91
JPM	0.91	0.01	0.01	0.07	1.29	(0.87)	1.69	(1.91)	5.76
MRK	1.36	0.32	0.23	0.52	1.00	(1.78)	4.84	(1.73)	11.45
XOM	0.93	0.04	(0.01)	0.37	1.14	(0.87)	1.77	(1.93)	4.63

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