FT Vest Correlations

JULM Etf

31.65 0.03 0.09%

The current 90-days correlation between FT Vest Equity and FT Vest Equity is 0.92 (i.e., Almost no 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

Very weak diversification

The correlation between FT Vest Equity and DJI is 0.48 (i.e., Very weak 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.

Check out Risk vs Return 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 bureau of economic analysis.

Moving together with JULM Etf

0.81	INOV	Innovator ETFs Trust	Pair Corr
0.93	BUFR	First Trust Cboe	Pair Corr
0.93	BUFD	FT Cboe Vest	Pair Corr
0.91	PSEP	Innovator SP 500	Pair Corr
0.96	PJAN	Innovator SP 500	Pair Corr
0.9	PJUL	Innovator SP 500	Pair Corr
0.92	PAUG	Innovator Equity Power	Pair Corr
0.81	DNOV	FT Cboe Vest	Pair Corr
0.99	PMAY	Innovator SP 500	Pair Corr
0.97	PJUN	Innovator SP 500	Pair Corr
0.65	SPY	SPDR SP 500	Pair Corr
0.65	IVV	iShares Core SP	Pair Corr
0.79	VEA	Vanguard FTSE Developed	Pair Corr
0.8	RXI	iShares Global Consumer	Pair Corr
0.71	T	ATT Inc Aggressive Push	Pair Corr
0.64	AXP	American Express	Pair Corr
0.91	JPM	JPMorgan Chase	Pair Corr
0.87	GE	GE Aerospace	Pair Corr
0.9	MMM	3M Company	Pair Corr
0.87	CSCO	Cisco Systems	Pair Corr
0.8	WMT	Walmart Aggressive Push	Pair Corr

Moving against JULM Etf

0.8	MRK	Merck Company Aggressive Push	Pair Corr
0.57	AA	Alcoa Corp	Pair Corr
0.36	MSFT	Microsoft	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.44	0.59	-0.64	0.75	0.3	-0.21	0.85	-0.83	-0.32	META
MSFT	-0.44		-0.65	0.39	-0.6	0.27	0.76	-0.51	0.62	0.01	MSFT
UBER	0.59	-0.65		-0.2	0.75	-0.09	-0.53	0.74	-0.76	0.33	UBER
F	-0.64	0.39	-0.2		-0.38	0.04	0.44	-0.39	0.64	0.74	F
T	0.75	-0.6	0.75	-0.38		-0.17	-0.42	0.69	-0.78	0.04	T
A	0.3	0.27	-0.09	0.04	-0.17		0.3	0.44	0.04	-0.11	A
CRM	-0.21	0.76	-0.53	0.44	-0.42	0.3		-0.31	0.47	0.1	CRM
JPM	0.85	-0.51	0.74	-0.39	0.69	0.44	-0.31		-0.79	-0.04	JPM
MRK	-0.83	0.62	-0.76	0.64	-0.78	0.04	0.47	-0.79		0.17	MRK
XOM	-0.32	0.01	0.33	0.74	0.04	-0.11	0.1	-0.04	0.17		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

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	+ 0.85	META
CRM	+ 0.76	MSFT
T	+ 0.75	META
T	+ 0.75	UBER
JPM	+ 0.74	UBER
XOM	+ 0.74	F

High negative correlations

MRK	- 0.83	META
MRK	- 0.79	JPM
MRK	- 0.78	T
MRK	- 0.76	UBER
UBER	- 0.65	MSFT
F	- 0.64	META

FT Vest Competition Risk-Adjusted Indicators

There is a big difference between JULM 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	1.36	0.28	0.17	0.57	1.44	(1.42)	3.22	(2.29)	7.11
MSFT	1.03	(0.05)	0.00	(0.16)	0.00	0.00	2.20	(1.90)	10.31
UBER	1.95	0.16	0.06	3.78	2.78	(1.95)	4.72	(3.13)	12.29
F	1.35	(0.11)	0.00	(0.13)	0.00	0.00	2.55	(2.89)	10.97
T	0.94	0.30	0.27	0.50	0.88	(1.12)	1.90	(1.75)	7.94
A	1.07	(0.03)	0.00	(0.07)	0.00	0.00	2.81	(2.16)	9.03
CRM	1.45	(0.15)	0.00	(0.22)	0.00	0.00	2.21	(3.81)	15.92
JPM	0.89	0.14	0.11	0.15	1.16	(0.97)	1.97	(1.51)	6.85
MRK	1.26	(0.10)	0.00	(2.54)	0.00	0.00	2.15	(2.24)	11.57
XOM	0.91	(0.12)	0.00	(0.43)	0.00	0.00	1.76	(2.14)	5.69

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC