Innovator Correlations

BAPR Etf

USD 43.02 0.25 0.58%

The current 90-days correlation between Innovator SP 500 and Innovator SP 500 is -0.13 (i.e., Good diversification). The correlation of Innovator 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.

Innovator Correlation With Market

Good diversification

The correlation between Innovator SP 500 and DJI is -0.03 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Innovator SP 500 and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Innovator SP 500. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in american community survey.

Moving together with Innovator Etf

1.0	BUFR	First Trust Cboe	Pair Corr
0.9	BUFD	FT Cboe Vest	Pair Corr
0.99	PSEP	Innovator SP 500	Pair Corr
0.97	PJAN	Innovator SP 500	Pair Corr
0.99	PJUL	Innovator SP 500	Pair Corr
0.9	PAUG	Innovator Equity Power	Pair Corr
0.91	DNOV	FT Cboe Vest	Pair Corr
0.8	PMAY	Innovator SP 500	Pair Corr
0.98	PJUN	Innovator SP 500	Pair Corr
0.92	UPRO	ProShares UltraPro SP500	Pair Corr
0.98	QTJA	Innovator ETFs Trust	Pair Corr
0.92	QTOC	Innovator ETFs Trust	Pair Corr
0.91	XTOC	Innovator ETFs Trust	Pair Corr
0.79	QTAP	Innovator Growth 100 Low Volatility	Pair Corr
0.91	XTJA	Innovator ETFs Trust	Pair Corr
0.75	XTAP	Innovator Equity Acc	Pair Corr

Moving against Innovator Etf

0.61	LBAY	Tidal ETF Trust	Pair Corr
0.46	UBND	Victory Portfolios	Pair Corr
0.46	SCHO	Schwab Short Term	Pair Corr
0.43	EFNL	iShares MSCI Finland	Pair Corr
0.4	IUSB	iShares Core Total	Pair Corr
0.4	STOT	SPDR DoubleLine Short	Pair Corr
0.57	JUNE	Junee Limited Ordinary Trending	Pair Corr
0.46	HCRB	Hartford Core Bond	Pair Corr
0.41	MNA	IQ Merger Arbitrage	Pair Corr
0.39	BOIL	ProShares Ultra Bloomberg Downward Rally	Pair Corr
0.39	USTB	VictoryShares USAA Core	Pair Corr
0.36	YINN	Direxion Daily FTSE	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.2	0.68	-0.48	0.47	0.32	0.11	0.89	-0.78	0.18	META
MSFT	-0.2		-0.65	0.38	-0.76	0.64	0.88	-0.04	0.52	-0.25	MSFT
UBER	0.68	-0.65		-0.49	0.8	-0.23	-0.56	0.6	-0.86	0.45	UBER
F	-0.48	0.38	-0.49		-0.24	0.18	0.23	-0.38	0.64	0.24	F
T	0.47	-0.76	0.8	-0.24		-0.53	-0.67	0.28	-0.69	0.44	T
A	0.32	0.64	-0.23	0.18	-0.53		0.74	0.56	0.14	-0.04	A
CRM	0.11	0.88	-0.56	0.23	-0.67	0.74		0.2	0.33	-0.3	CRM
JPM	0.89	-0.04	0.6	-0.38	0.28	0.56	0.2		-0.66	0.19	JPM
MRK	-0.78	0.52	-0.86	0.64	-0.69	0.14	0.33	-0.66		-0.27	MRK
XOM	0.18	-0.25	0.45	0.24	0.44	-0.04	-0.3	0.19	-0.27		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	+ 0.89	META
CRM	+ 0.88	MSFT
T	+ 0.8	UBER
CRM	+ 0.74	A
UBER	+ 0.68	META
A	+ 0.64	MSFT

High negative correlations

MRK	- 0.86	UBER
MRK	- 0.78	META
T	- 0.76	MSFT
MRK	- 0.69	T
CRM	- 0.67	T
MRK	- 0.66	JPM

Innovator Competition Risk-Adjusted Indicators

There is a big difference between Innovator Etf performing well and Innovator 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'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	1.57	0.08	0.00	(0.01)	0.00	0.00	2.57	(3.59)	8.90
MSFT	1.10	(0.14)	0.00	(0.31)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.93	0.23	0.10	0.33	2.40	(2.00)	4.72	(3.30)	12.75
F	1.44	0.06	0.00	(0.04)	0.00	0.00	2.71	(2.89)	10.14
T	1.04	0.28	0.18	0.42	1.60	(1.11)	1.90	(1.75)	11.66
A	1.14	(0.15)	0.00	(0.25)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.42	(0.23)	0.00	(0.30)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.09	0.05	0.00	(0.05)	0.00	0.00	1.99	(3.35)	6.85
MRK	1.21	(0.11)	0.00	2.40	0.00	0.00	2.07	(2.25)	11.58
XOM	1.05	0.06	0.08	0.06	1.38	(1.09)	2.55	(2.36)	5.89

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