TrueShares Structured Correlations

MARZ Etf

USD 31.89 0.31 0.98%

The current 90-days correlation between TrueShares Structured and Trueshares Structured Outcome is 0.99 (i.e., No risk reduction). The correlation of TrueShares Structured 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.

TrueShares Structured Correlation With Market

Weak diversification

The correlation between TrueShares Structured Outcome and DJI is 0.32 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding TrueShares Structured Outcome and DJI in the same portfolio, assuming nothing else is changed.

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in TrueShares Structured Outcome. 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 together with TrueShares Etf

0.92	BUFR	First Trust Cboe	Pair Corr
0.9	BUFD	FT Cboe Vest	Pair Corr
0.94	PSEP	Innovator SP 500	Pair Corr
0.93	PJUL	Innovator SP 500	Pair Corr
0.93	PAUG	Innovator Equity Power	Pair Corr
0.86	DNOV	FT Cboe Vest	Pair Corr
0.79	PMAY	Innovator SP 500	Pair Corr
0.88	PJUN	Innovator SP 500	Pair Corr
0.73	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.68	FNGU	MicroSectors FANG Index	Pair Corr
0.67	FNGO	MicroSectors FANG Index	Pair Corr
0.64	FNGS	MicroSectors FANG ETN	Pair Corr
0.84	TECL	Direxion Daily Technology	Pair Corr
0.84	PTNQ	Pacer Trendpilot 100	Pair Corr
0.82	SPYG	SPDR Portfolio SP	Pair Corr
0.85	ETH	Grayscale Ethereum Mini Buyout Trend	Pair Corr
0.72	TSLY	Tidal Trust II	Pair Corr
0.76	NFLY	Tidal Trust II	Pair Corr
0.61	UMI	USCF Midstream Energy	Pair Corr
0.72	XCCC	BondBloxx ETF Trust	Pair Corr
0.77	BITX	Volatility Shares Trust Buyout Trend	Pair Corr
0.85	Z	Zillow Group Class	Pair Corr
0.74	YMAG	YieldMax Magnificent	Pair Corr
0.73	BTC	Grayscale Bitcoin Mini	Pair Corr

Moving against TrueShares Etf

0.38

SOYB

Teucrium Soybean

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.73	-0.57	-0.59	0.32	0.57	0.53	0.34	-0.06	-0.67	META
MSFT	0.73		-0.53	-0.24	0.56	0.23	0.65	0.25	-0.1	-0.47	MSFT
UBER	-0.57	-0.53		0.64	-0.58	-0.08	-0.78	-0.56	0.67	0.81	UBER
F	-0.59	-0.24	0.64		0.01	-0.25	-0.2	-0.07	0.2	0.9	F
T	0.32	0.56	-0.58	0.01		0.0	0.8	0.59	-0.45	-0.23	T
A	0.57	0.23	-0.08	-0.25	0.0		0.12	0.22	0.32	-0.19	A
CRM	0.53	0.65	-0.78	-0.2	0.8	0.12		0.7	-0.59	-0.44	CRM
JPM	0.34	0.25	-0.56	-0.07	0.59	0.22	0.7		-0.62	-0.25	JPM
MRK	-0.06	-0.1	0.67	0.2	-0.45	0.32	-0.59	-0.62		0.32	MRK
XOM	-0.67	-0.47	0.81	0.9	-0.23	-0.19	-0.44	-0.25	0.32		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

XOM	+ 0.9	F
XOM	+ 0.81	UBER
CRM	+ 0.8	T
MSFT	+ 0.73	META
JPM	+ 0.7	CRM
MRK	+ 0.67	UBER

High negative correlations

CRM	- 0.78	UBER
XOM	- 0.67	META
MRK	- 0.62	JPM
MRK	- 0.59	CRM
F	- 0.59	META
T	- 0.58	UBER

TrueShares Structured Constituents Risk-Adjusted Indicators

There is a big difference between TrueShares Etf performing well and TrueShares Structured 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 TrueShares Structured'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	0.06	0.03	0.21	1.51	(1.56)	3.43	(3.15)	7.43
MSFT	0.92	0.04	0.01	1.07	1.58	(0.87)	2.09	(1.73)	8.14
UBER	1.63	(0.33)	0.00	(26.89)	0.00	0.00	2.67	(5.35)	12.29
F	1.38	(0.08)	0.00	(0.17)	0.00	0.00	2.38	(2.81)	11.21
T	0.97	0.08	0.06	0.24	1.10	(1.04)	1.91	(1.84)	7.96
A	1.21	0.03	0.01	0.09	1.45	(1.33)	2.72	(2.42)	8.06
CRM	1.41	0.17	0.10	0.79	1.45	(1.59)	3.16	(2.88)	14.80
JPM	1.03	0.25	0.17	1.11	1.11	(1.17)	1.92	(1.42)	15.87
MRK	1.00	(0.17)	0.00	(0.68)	0.00	0.00	1.74	(2.17)	5.17
XOM	0.76	(0.15)	0.00	(0.37)	0.00	0.00	1.71	(1.67)	6.06

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