FT Cboe Correlations

FJUN Etf

USD 54.08 0.07 0.13%

The current 90-days correlation between FT Cboe Vest and First Trust Exchange Traded is 0.95 (i.e., Almost no diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as FT Cboe moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FT Cboe Vest moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

FT Cboe Correlation With Market

Very poor diversification

The correlation between FT Cboe Vest and DJI is 0.86 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with FJUN Etf

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

Moving together with FJUN Etf

0.97	INOV	Innovator ETFs Trust	Pair Corr
1.0	BUFR	First Trust Cboe	Pair Corr
1.0	BUFD	FT Cboe Vest	Pair Corr
1.0	PSEP	Innovator SP 500	Pair Corr
1.0	PJAN	Innovator SP 500	Pair Corr
0.99	PJUL	Innovator SP 500	Pair Corr
0.99	PAUG	Innovator Equity Power	Pair Corr
1.0	DNOV	FT Cboe Vest	Pair Corr
0.98	PMAY	Innovator SP 500	Pair Corr
1.0	PJUN	Innovator SP 500	Pair Corr
0.88	BTCL	T Rex 2X	Pair Corr
0.88	BITU	ProShares Trust	Pair Corr
0.88	BTFX	Valkyrie Bitcoin Futures	Pair Corr
0.88	BITX	Volatility Shares Trust	Pair Corr
0.78	MSTY	YieldMax MSTR Option Downward Rally	Pair Corr
0.97	DFEN	Direxion Daily Aerospace	Pair Corr
0.94	BA	Boeing	Pair Corr
0.88	DD	Dupont De Nemours	Pair Corr
0.97	CAT	Caterpillar	Pair Corr
0.74	INTC	Intel Earnings Call This Week	Pair Corr
0.97	DIS	Walt Disney	Pair Corr
0.97	AXP	American Express	Pair Corr
0.97	CSCO	Cisco Systems	Pair Corr
0.98	BAC	Bank of America	Pair Corr
0.86	PFE	Pfizer Inc	Pair Corr
0.98	MSFT	Microsoft	Pair Corr

Moving against FJUN Etf

0.91	WTID	UBS ETRACS	Pair Corr
0.56	KO	Coca Cola Earnings Call This Week	Pair Corr
0.47	PG	Procter Gamble	Pair Corr
0.35	VZ	Verizon Communications Earnings Call Tomorrow	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.98	0.84	0.82	0.55	0.93	0.29	0.94	0.23	0.56	META
MSFT	0.98		0.87	0.85	0.52	0.89	0.29	0.96	0.24	0.55	MSFT
UBER	0.84	0.87		0.9	0.42	0.81	0.54	0.88	0.21	0.5	UBER
F	0.82	0.85	0.9		0.4	0.84	0.28	0.91	0.43	0.72	F
T	0.55	0.52	0.42	0.4		0.57	0.17	0.5	0.27	0.22	T
A	0.93	0.89	0.81	0.84	0.57		0.24	0.89	0.37	0.67	A
CRM	0.29	0.29	0.54	0.28	0.17	0.24		0.23	-0.26	-0.11	CRM
JPM	0.94	0.96	0.88	0.91	0.5	0.89	0.23		0.32	0.64	JPM
MRK	0.23	0.24	0.21	0.43	0.27	0.37	-0.26	0.32		0.55	MRK
XOM	0.56	0.55	0.5	0.72	0.22	0.67	-0.11	0.64	0.55		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

MSFT	+ 0.98	META
JPM	+ 0.96	MSFT
JPM	+ 0.94	META
A	+ 0.93	META
JPM	+ 0.91	F
F	+ 0.9	UBER

High negative correlations

MRK	- 0.26	CRM
XOM	- 0.11	CRM

FT Cboe Competition Risk-Adjusted Indicators

There is a big difference between FJUN Etf performing well and FT Cboe 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 Cboe'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	1.51	0.26	0.21	0.32	1.10	(1.82)	3.99	(2.35)	10.48
MSFT	0.90	0.30	0.27	0.47	0.54	(1.09)	2.33	(1.08)	8.85
UBER	1.64	0.20	0.13	0.33	1.40	(2.08)	4.19	(2.54)	10.87
F	1.32	0.14	0.06	0.32	1.47	(1.42)	2.69	(2.61)	7.46
T	1.02	(0.05)	(0.10)	0.00	1.35	(1.06)	2.35	(2.35)	5.71
A	1.46	(0.07)	0.00	0.09	1.81	(1.51)	2.54	(2.89)	14.01
CRM	1.33	(0.13)	(0.04)	0.04	1.74	(1.28)	2.95	(3.19)	9.31
JPM	0.90	0.22	0.18	0.38	0.67	(1.02)	2.25	(1.36)	6.03
MRK	1.39	(0.09)	(0.05)	0.04	1.96	(1.32)	2.88	(3.31)	10.58
XOM	1.13	0.05	(0.04)	0.41	1.36	(1.15)	2.40	(2.58)	5.84

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