Innovator ETFs Correlations

JANJ Etf

24.87 0.06 0.24%

The current 90-days correlation between Innovator ETFs Trust and FT Vest Equity is 0.74 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Innovator ETFs moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Innovator ETFs Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Innovator ETFs Correlation With Market

Poor diversification

The correlation between Innovator ETFs Trust and DJI is 0.69 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Innovator ETFs Trust and DJI in the same portfolio, assuming nothing else is changed.

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Innovator ETFs Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

Moving together with Innovator Etf

0.62	PSEP	Innovator SP 500	Pair Corr
0.69	PJAN	Innovator SP 500	Pair Corr
0.62	PAUG	Innovator Equity Power	Pair Corr
0.83	PMAY	Innovator SP 500	Pair Corr
0.67	PJUN	Innovator SP 500	Pair Corr
0.62	DD	Dupont De Nemours	Pair Corr
0.67	MMM	3M Company	Pair Corr
0.62	WMT	Walmart Aggressive Push	Pair Corr
0.63	IBM	International Business	Pair Corr

Moving against Innovator Etf

0.71

MRK

Merck Company

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.04	0.59	-0.54	0.32	0.42	0.26	0.9	-0.75	-0.01	META
MSFT	-0.04		-0.62	0.09	-0.79	0.69	0.89	0.1	0.44	-0.52	MSFT
UBER	0.59	-0.62		-0.35	0.8	-0.25	-0.53	0.53	-0.85	0.54	UBER
F	-0.54	0.09	-0.35		-0.05	-0.04	-0.08	-0.39	0.56	0.31	F
T	0.32	-0.79	0.8	-0.05		-0.57	-0.71	0.17	-0.65	0.58	T
A	0.42	0.69	-0.25	-0.04	-0.57		0.79	0.62	0.1	-0.3	A
CRM	0.26	0.89	-0.53	-0.08	-0.71	0.79		0.33	0.24	-0.58	CRM
JPM	0.9	0.1	0.53	-0.39	0.17	0.62	0.33		-0.63	0.07	JPM
MRK	-0.75	0.44	-0.85	0.56	-0.65	0.1	0.24	-0.63		-0.31	MRK
XOM	-0.01	-0.52	0.54	0.31	0.58	-0.3	-0.58	0.07	-0.31		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	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.79	A
A	+ 0.69	MSFT
JPM	+ 0.62	A

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

Innovator ETFs Competition Risk-Adjusted Indicators

There is a big difference between Innovator Etf performing well and Innovator ETFs 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 Innovator ETFs' 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	1.59	0.02	0.00	(0.05)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.12	(0.15)	0.00	(0.28)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.41	0.19	0.74	2.06	(2.04)	4.72	(3.13)	12.75
F	1.47	0.07	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.04	0.26	0.16	0.40	1.61	(1.11)	1.90	(1.75)	11.66
A	1.15	(0.15)	0.00	(0.23)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.27)	0.00	(0.31)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.09	0.05	0.02	1.74	(1.04)	1.99	(3.35)	6.85
MRK	1.17	(0.11)	0.00	1.52	0.00	0.00	2.07	(1.80)	11.58
XOM	1.06	0.11	0.10	0.17	1.39	(1.08)	2.55	(2.36)	5.89

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