First Trust Correlations

DMAY Etf

USD 40.99 0.33 0.81%

The current 90-days correlation between First Trust Exchange and FT Cboe Vest is 0.88 (i.e., Very poor diversification). The correlation of First Trust 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.

First Trust Correlation With Market

Average diversification

The correlation between First Trust Exchange Traded and DJI is 0.16 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Exchange Traded and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with First Etf

1.0	BUFR	First Trust Cboe	Pair Corr
0.99	BUFD	FT Cboe Vest	Pair Corr
1.0	PSEP	Innovator SP 500	Pair Corr
0.89	PJAN	Innovator SP 500	Pair Corr
1.0	PJUL	Innovator SP 500	Pair Corr
1.0	PAUG	Innovator Equity Power	Pair Corr
0.92	DNOV	FT Cboe Vest	Pair Corr
0.98	PMAY	Innovator SP 500	Pair Corr
0.99	PJUN	Innovator SP 500	Pair Corr
0.93	ARKW	ARK Next Generation	Pair Corr
0.86	WTMF	WisdomTree Managed	Pair Corr
0.89	BST	BlackRock Science Tech	Pair Corr
0.64	BAC	Bank of America Fiscal Year End 10th of January 2025	Pair Corr
0.8	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.75	DIS	Walt Disney	Pair Corr
0.68	MSFT	Microsoft	Pair Corr
0.79	WMT	Walmart	Pair Corr

Moving against First Etf

0.47	INOV	Innovator ETFs Trust	Pair Corr
0.34	IRET	iREIT MarketVector	Pair Corr
0.69	PFE	Pfizer Inc Sell-off Trend	Pair Corr
0.51	KO	Coca Cola Sell-off Trend	Pair Corr
0.36	GE	GE Aerospace Fiscal Year End 28th of January 2025	Pair Corr
0.31	DD	Dupont De Nemours Fiscal Year End 4th of February 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.81	-0.52	-0.48	0.41	0.39	0.53	0.2	-0.05	-0.56	META
MSFT	0.81		-0.61	-0.3	0.61	0.03	0.69	0.45	-0.29	-0.64	MSFT
UBER	-0.52	-0.61		0.56	-0.7	0.17	-0.78	-0.54	0.64	0.81	UBER
F	-0.48	-0.3	0.56		-0.06	-0.15	-0.15	0.18	0.05	0.74	F
T	0.41	0.61	-0.7	-0.06		-0.23	0.85	0.81	-0.64	-0.5	T
A	0.39	0.03	0.17	-0.15	-0.23		-0.22	-0.44	0.68	0.18	A
CRM	0.53	0.69	-0.78	-0.15	0.85	-0.22		0.85	-0.73	-0.59	CRM
JPM	0.2	0.45	-0.54	0.18	0.81	-0.44	0.85		-0.8	-0.38	JPM
MRK	-0.05	-0.29	0.64	0.05	-0.64	0.68	-0.73	-0.8		0.45	MRK
XOM	-0.56	-0.64	0.81	0.74	-0.5	0.18	-0.59	-0.38	0.45		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

CRM	+ 0.85	T
JPM	+ 0.85	CRM
MSFT	+ 0.81	META
XOM	+ 0.81	UBER
JPM	+ 0.81	T
XOM	+ 0.74	F

High negative correlations

MRK	- 0.8	JPM
CRM	- 0.78	UBER
MRK	- 0.73	CRM
T	- 0.7	UBER
MRK	- 0.64	T
XOM	- 0.64	MSFT

First Trust Competition Risk-Adjusted Indicators

There is a big difference between First Etf performing well and First Trust 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 First Trust'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	1.26	0.07	0.04	0.32	1.44	(1.43)	2.62	(3.15)	7.43
MSFT	0.87	0.01	0.00	(0.09)	1.61	(0.80)	1.78	(1.73)	8.14
UBER	1.72	(0.19)	0.00	(0.96)	0.00	0.00	2.67	(5.35)	20.41
F	1.39	(0.10)	0.00	(0.34)	0.00	0.00	2.38	(2.81)	11.21
T	0.96	0.05	0.03	0.20	1.15	(0.99)	1.93	(1.99)	7.95
A	1.12	(0.12)	0.00	(0.34)	0.00	0.00	2.43	(2.42)	8.06
CRM	1.47	0.33	0.20	6.67	1.34	(1.70)	3.18	(2.88)	14.80
JPM	1.06	0.26	0.19	(17.88)	1.04	(1.25)	1.99	(1.42)	15.87
MRK	0.96	(0.21)	0.00	(0.89)	0.00	0.00	1.72	(2.17)	5.17
XOM	0.77	(0.15)	0.00	(0.76)	0.00	0.00	1.71	(2.14)	6.06

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