Themes Robotics Correlations

BOTT Etf

58.57 1.52 2.53%

The current 90-days correlation between Themes Robotics Auto and Managed Portfolio Series is -0.01 (i.e., Good diversification). The correlation of Themes Robotics 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.

Themes Robotics Correlation With Market

Poor diversification

The correlation between Themes Robotics Automation and DJI is 0.77 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Themes Robotics Automation and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Themes Etf

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Themes Robotics Automation. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.

Moving together with Themes Etf

0.95	INFL	Horizon Kinetics Inf	Pair Corr
0.96	PBD	Invesco Global Clean	Pair Corr
0.84	VRAI	Virtus Real Asset	Pair Corr
0.91	CTEC	Global X CleanTech	Pair Corr
0.91	SAGP	Advisorsa Inner	Pair Corr
0.86	ITWO	Proshares Russell 2000	Pair Corr
0.74	ELON	Battleshares TSLA	Pair Corr
0.84	CPST	Calamos ETF Trust	Pair Corr
0.67	IJS	iShares SP Small	Pair Corr
0.95	IAU	iShares Gold Trust Aggressive Push	Pair Corr
0.96	EPU	iShares MSCI Peru	Pair Corr
0.61	AVUV	Avantis Small Cap	Pair Corr
0.61	HEEM	iShares Currency Hedged	Pair Corr
0.63	BND	Vanguard Total Bond	Pair Corr
0.67	JETS	US Global Jets	Pair Corr
0.88	SCDV	ETF Series Solutions	Pair Corr
0.87	HCMAX	THE HILLMAN FUND	Pair Corr
0.94	UEVM	VictoryShares Emerging	Pair Corr

Moving against Themes Etf

0.72	MPAY	Exchange Traded Concepts	Pair Corr
0.55	TMAT	Main Thematic Innovation Low Volatility	Pair Corr

Related Correlations Analysis

	RNEM	RBLD	DTRE	SCAP	QLVE	JCHI	PEMX	SHRY	FTXH	LST
RNEM		0.94	0.89	0.86	0.68	0.66	0.98	0.93	0.94	0.96	RNEM
RBLD	0.94		0.96	0.82	0.61	0.5	0.96	0.95	0.91	0.93	RBLD
DTRE	0.89	0.96		0.8	0.59	0.44	0.92	0.93	0.89	0.89	DTRE
SCAP	0.86	0.82	0.8		0.7	0.71	0.87	0.88	0.83	0.93	SCAP
QLVE	0.68	0.61	0.59	0.7		0.63	0.66	0.64	0.67	0.61	QLVE
JCHI	0.66	0.5	0.44	0.71	0.63		0.61	0.5	0.5	0.64	JCHI
PEMX	0.98	0.96	0.92	0.87	0.66	0.61		0.95	0.93	0.97	PEMX
SHRY	0.93	0.95	0.93	0.88	0.64	0.5	0.95		0.94	0.96	SHRY
FTXH	0.94	0.91	0.89	0.83	0.67	0.5	0.93	0.94		0.94	FTXH
LST	0.96	0.93	0.89	0.93	0.61	0.64	0.97	0.96	0.94		LST
	RNEM	RBLD	DTRE	SCAP	QLVE	JCHI	PEMX	SHRY	FTXH	LST

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Themes Robotics Constituents Risk-Adjusted Indicators

There is a big difference between Themes Etf performing well and Themes Robotics 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 Themes Robotics' 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
RNEM	0.49	0.06	(0.05)	0.32	0.37	(0.56)	0.93	(0.69)	2.76
RBLD	0.63	0.11	0.09	0.28	0.56	(0.70)	1.35	(1.39)	3.22
DTRE	0.52	0.06	(0.02)	0.29	0.57	(0.51)	1.17	(1.14)	3.26
SCAP	0.72	0.01	0.00	0.12	0.75	(0.88)	1.48	(1.39)	5.16
QLVE	0.63	0.17	0.07	(6.57)	0.57	(0.74)	1.52	(0.96)	6.35
JCHI	0.65	(0.04)	(0.14)	0.00	0.78	(0.71)	1.22	(1.38)	4.63
PEMX	0.78	0.31	0.32	0.63	0.26	(0.96)	2.39	(0.96)	4.15
SHRY	0.55	0.06	0.03	0.21	0.42	(0.64)	1.30	(0.85)	3.12
FTXH	0.76	0.05	(0.02)	0.25	0.66	(0.96)	1.69	(1.24)	3.45
LST	0.68	0.06	0.05	0.18	0.67	(0.80)	1.33	(1.11)	4.73

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