FT Vest Correlations

MARM Etf

32.72 0.00 0.00%

The current 90-days correlation between FT Vest Equity and Innovator Equity 5 is 0.77 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as FT Vest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FT Vest Equity moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

FT Vest Correlation With Market

Good diversification

The correlation between FT Vest Equity and DJI is -0.19 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding FT Vest Equity and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with MARM Etf

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in FT Vest Equity. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in real.

Moving together with MARM Etf

0.86	INOV	Innovator ETFs Trust	Pair Corr
0.9	BUFR	First Trust Cboe	Pair Corr
0.9	BUFD	FT Cboe Vest	Pair Corr
0.88	PSEP	Innovator SP 500	Pair Corr
0.91	PJAN	Innovator SP 500	Pair Corr
0.9	PJUL	Innovator SP 500	Pair Corr
0.89	PAUG	Innovator Equity Power	Pair Corr
0.91	DNOV	FT Cboe Vest	Pair Corr
0.9	PMAY	Innovator SP 500	Pair Corr
0.9	PJUN	Innovator SP 500	Pair Corr
0.88	VTI	Vanguard Total Stock Sell-off Trend	Pair Corr
0.68	VBK	Vanguard Small Cap	Pair Corr
0.9	EEM	iShares MSCI Emerging	Pair Corr
0.9	JPST	JPMorgan Ultra Short	Pair Corr
0.69	DUKH	Ocean Park High	Pair Corr
0.91	YFYA	Listed Funds Trust	Pair Corr
0.84	INTC	Intel	Pair Corr
0.64	MMM	3M Company	Pair Corr
0.62	XOM	Exxon Mobil Corp Aggressive Push	Pair Corr
0.8	AXP	American Express	Pair Corr
0.89	GE	GE Aerospace	Pair Corr
0.74	BAC	Bank of America	Pair Corr
0.84	AA	Alcoa Corp	Pair Corr
0.65	DD	Dupont De Nemours	Pair Corr

Moving against MARM Etf

0.88	FNGD	MicroSectors FANG Index	Pair Corr
0.69	NFLX	Netflix	Pair Corr
0.36	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.79	T	ATT Inc Aggressive Push	Pair Corr
0.74	PG	Procter Gamble	Pair Corr
0.73	BA	Boeing Sell-off Trend	Pair Corr
0.73	DIS	Walt Disney	Pair Corr
0.31	CVX	Chevron Corp	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.12	0.24	-0.73	0.74	-0.72	-0.06	-0.47	-0.57	-0.57	META
MSFT	0.12		0.35	0.28	-0.43	0.37	0.18	0.12	0.24	0.12	MSFT
UBER	0.24	0.35		-0.11	0.08	-0.17	-0.02	0.38	-0.31	0.08	UBER
F	-0.73	0.28	-0.11		-0.76	0.8	0.27	0.47	0.61	0.7	F
T	0.74	-0.43	0.08	-0.76		-0.92	-0.23	-0.38	-0.59	-0.52	T
A	-0.72	0.37	-0.17	0.8	-0.92		0.24	0.43	0.69	0.6	A
CRM	-0.06	0.18	-0.02	0.27	-0.23	0.24		-0.18	0.04	0.12	CRM
JPM	-0.47	0.12	0.38	0.47	-0.38	0.43	-0.18		0.03	0.69	JPM
MRK	-0.57	0.24	-0.31	0.61	-0.59	0.69	0.04	0.03		0.35	MRK
XOM	-0.57	0.12	0.08	0.7	-0.52	0.6	0.12	0.69	0.35		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	+ 0.8	F
T	+ 0.74	META
XOM	+ 0.7	F
MRK	+ 0.69	A
XOM	+ 0.69	JPM
MRK	+ 0.61	F

High negative correlations

A	- 0.92	T
T	- 0.76	F
F	- 0.73	META
A	- 0.72	META
MRK	- 0.59	T
XOM	- 0.57	META

FT Vest Competition Risk-Adjusted Indicators

There is a big difference between MARM Etf performing well and FT Vest 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 FT Vest'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	1.28	(0.43)	0.00	(0.40)	0.00	0.00	1.87	(2.72)	13.52
MSFT	0.78	(0.09)	0.00	(0.05)	0.00	0.00	1.85	(1.98)	5.08
UBER	1.43	(0.05)	(0.03)	0.01	1.81	(1.55)	3.34	(2.71)	9.09
F	1.38	0.15	0.11	0.17	1.46	(1.62)	3.66	(1.73)	16.30
T	0.97	(0.18)	0.00	(0.67)	0.00	0.00	1.84	(2.32)	6.25
A	1.30	0.24	0.18	0.25	1.07	(1.46)	3.82	(2.15)	11.03
CRM	1.55	0.01	0.01	0.08	2.21	(1.47)	3.59	(3.61)	9.91
JPM	0.86	(0.02)	(0.01)	0.05	1.30	(0.79)	1.67	(1.91)	5.76
MRK	1.22	0.15	0.10	0.30	1.14	(1.48)	1.80	(2.36)	11.45
XOM	0.88	0.16	0.09	0.63	1.04	(0.87)	1.78	(1.93)	4.71

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