Direxion Daily Correlations

INDL Etf

USD 61.41 0.52 0.84%

The current 90-days correlation between Direxion Daily MSCI and Direxion Daily MSCI is 0.1 (i.e., Average diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Direxion Daily moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Direxion Daily MSCI moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Direxion Daily Correlation With Market

Average diversification

The correlation between Direxion Daily MSCI and DJI is 0.13 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Daily MSCI and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Direxion Etf

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Direxion Daily MSCI. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in unemployment.

Moving together with Direxion Etf

0.8	SSO	ProShares Ultra SP500	Pair Corr
0.79	SPXL	Direxion Daily SP500	Pair Corr
0.79	QLD	ProShares Ultra QQQ	Pair Corr
0.66	NRGU	Bank of Montreal	Pair Corr
0.79	UPRO	ProShares UltraPro SP500	Pair Corr
0.77	TECL	Direxion Daily Technology	Pair Corr
0.66	GUSH	Direxion Daily SP	Pair Corr
0.81	UYG	ProShares Ultra Fina	Pair Corr
0.8	VTI	Vanguard Total Stock Sell-off Trend	Pair Corr
0.8	SPY	SPDR SP 500 Sell-off Trend	Pair Corr
0.8	IVV	iShares Core SP Sell-off Trend	Pair Corr
0.79	VTV	Vanguard Value Index	Pair Corr
0.79	VUG	Vanguard Growth Index	Pair Corr
0.8	VO	Vanguard Mid Cap	Pair Corr
0.84	VEA	Vanguard FTSE Developed	Pair Corr
0.79	VB	Vanguard Small Cap	Pair Corr
0.82	VWO	Vanguard FTSE Emerging Sell-off Trend	Pair Corr
0.73	IBM	International Business Earnings Call This Week	Pair Corr
0.73	MMM	3M Company	Pair Corr
0.81	BAC	Bank of America	Pair Corr
0.76	GE	GE Aerospace Earnings Call This Week	Pair Corr
0.74	AA	Alcoa Corp	Pair Corr
0.76	PFE	Pfizer Inc	Pair Corr
0.76	CAT	Caterpillar	Pair Corr
0.76	DIS	Walt Disney	Pair Corr
0.76	MSFT	Microsoft	Pair Corr
0.79	JPM	JPMorgan Chase	Pair Corr
0.79	AXP	American Express	Pair Corr

Moving against Direxion Etf

0.56	FNGU	MicroSectors FANG Index Symbol Change	Pair Corr
0.42	MCD	McDonalds	Pair Corr
0.34	PG	Procter Gamble	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	0.57	META
MSFT	0.98		0.87	0.85	0.52	0.89	0.29	0.96	0.24	0.59	MSFT
UBER	0.84	0.87		0.9	0.42	0.81	0.54	0.88	0.21	0.54	UBER
F	0.82	0.85	0.9		0.4	0.84	0.28	0.91	0.43	0.73	F
T	0.55	0.52	0.42	0.4		0.57	0.17	0.5	0.27	0.16	T
A	0.93	0.89	0.81	0.84	0.57		0.24	0.89	0.37	0.63	A
CRM	0.29	0.29	0.54	0.28	0.17	0.24		0.23	-0.26	-0.08	CRM
JPM	0.94	0.96	0.88	0.91	0.5	0.89	0.23		0.32	0.68	JPM
MRK	0.23	0.24	0.21	0.43	0.27	0.37	-0.26	0.32		0.56	MRK
XOM	0.57	0.59	0.54	0.73	0.16	0.63	-0.08	0.68	0.56		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	- 0.08	CRM

Direxion Daily Constituents Risk-Adjusted Indicators

There is a big difference between Direxion Etf performing well and Direxion Daily 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 Direxion Daily'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	1.08	0.14	0.00	(9.00)	1.19	(1.12)	2.40	(2.51)	5.84

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