Leverage Shares Correlations

VALG Etf

25.63 2.48 10.71%

The current 90-days correlation between Leverage Shares 2X and Direxion Daily META is -0.08 (i.e., Good diversification). The correlation of Leverage Shares 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.

Leverage Shares Correlation With Market

Excellent diversification

The correlation between Leverage Shares 2X and DJI is -0.53 (i.e., Excellent diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Leverage Shares 2X and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Leverage Etf

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Leverage Shares 2X. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.

Moving against Leverage Etf

0.77	UYG	ProShares Ultra Fina	Pair Corr
0.56	AHYB	American Century ETF	Pair Corr
0.54	OASC	OneAscent Small Cap	Pair Corr
0.52	BINC	BlackRock ETF Trust Sell-off Trend	Pair Corr
0.44	VBK	Vanguard Small Cap	Pair Corr
0.43	LABU	Direxion Daily SP	Pair Corr
0.41	SSO	ProShares Ultra SP500	Pair Corr
0.39	SPXL	Direxion Daily SP500	Pair Corr
0.39	UPRO	ProShares UltraPro SP500	Pair Corr
0.66	GE	GE Aerospace	Pair Corr
0.65	AA	Alcoa Corp	Pair Corr
0.64	BAC	Bank of America Aggressive Push	Pair Corr
0.62	JPM	JPMorgan Chase	Pair Corr
0.61	GAPR	First Trust Exchange	Pair Corr
0.53	BA	Boeing	Pair Corr
0.39	DD	Dupont De Nemours Earnings Call This Week	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.21	-0.28	0.35	0.07	-0.51	0.08	0.24	0.28	0.37	META
MSFT	-0.21		0.72	-0.55	-0.07	0.43	0.56	0.03	-0.79	-0.79	MSFT
UBER	-0.28	0.72		-0.49	0.14	0.55	0.16	-0.16	-0.79	-0.55	UBER
F	0.35	-0.55	-0.49		-0.36	-0.31	-0.06	0.38	0.7	0.65	F
T	0.07	-0.07	0.14	-0.36		0.25	-0.42	-0.21	-0.15	-0.08	T
A	-0.51	0.43	0.55	-0.31	0.25		0.06	-0.05	-0.37	-0.6	A
CRM	0.08	0.56	0.16	-0.06	-0.42	0.06		0.64	-0.24	-0.59	CRM
JPM	0.24	0.03	-0.16	0.38	-0.21	-0.05	0.64		0.25	-0.14	JPM
MRK	0.28	-0.79	-0.79	0.7	-0.15	-0.37	-0.24	0.25		0.7	MRK
XOM	0.37	-0.79	-0.55	0.65	-0.08	-0.6	-0.59	-0.14	0.7		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

UBER	+ 0.72	MSFT
MRK	+ 0.7	F
XOM	+ 0.7	MRK
XOM	+ 0.65	F
JPM	+ 0.64	CRM
CRM	+ 0.56	MSFT

High negative correlations

MRK	- 0.79	UBER
XOM	- 0.79	MSFT
MRK	- 0.79	MSFT
XOM	- 0.6	A
XOM	- 0.59	CRM
XOM	- 0.55	UBER

Leverage Shares Competition Risk-Adjusted Indicators

There is a big difference between Leverage Etf performing well and Leverage Shares 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 Leverage Shares' 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	1.66	(0.15)	0.00	(0.10)	0.00	0.00	3.43	(2.72)	13.36
MSFT	1.26	(0.41)	0.00	(2.17)	0.00	0.00	1.78	(2.74)	13.28
UBER	1.51	(0.33)	0.00	(0.37)	0.00	0.00	2.46	(3.82)	10.23
F	1.23	0.03	0.02	0.07	1.22	(1.48)	3.38	(2.35)	7.16
T	0.95	0.11	0.07	0.54	0.94	(1.05)	2.02	(1.76)	4.31
A	1.21	(0.17)	0.00	(0.09)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.65	(0.40)	0.00	(0.33)	0.00	0.00	2.94	(5.31)	12.37
JPM	1.13	0.00	0.01	0.04	1.63	(1.16)	2.18	(3.11)	7.38
MRK	1.30	0.43	0.30	0.61	1.09	(1.61)	3.59	(1.98)	8.09
XOM	1.14	0.33	0.22	(21.90)	0.99	(1.33)	2.41	(2.11)	5.85

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