Themes Cybersecurity Correlations

SPAM Etf   31.71  0.36  1.15%   
The current 90-days correlation between Themes Cybersecurity ETF and Global X Funds is 0.07 (i.e., Significant diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Themes Cybersecurity moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Themes Cybersecurity ETF moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Themes Cybersecurity Correlation With Market

Very weak diversification

The correlation between Themes Cybersecurity ETF and DJI is 0.58 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Themes Cybersecurity ETF and DJI in the same portfolio, assuming nothing else is changed.
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Themes Cybersecurity ETF. 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 Themes Etf

  0.72VGT Vanguard InformationPairCorr
  0.64XLK Technology Select SectorPairCorr
  0.65IYW iShares Technology ETFPairCorr
  0.93CIBR First Trust NASDAQPairCorr
  0.68FTEC Fidelity MSCI InformationPairCorr
  0.92IGV iShares Expanded TechPairCorr
  0.65FDN First Trust DowPairCorr
  0.67IGM iShares Expanded TechPairCorr
  0.7UPRO ProShares UltraPro SP500PairCorr
  0.61XTOC Innovator ETFs TrustPairCorr
  0.74PPI Investment ManagersPairCorr
  0.64FELG Fidelity Covington TrustPairCorr
  0.63WIA Western AssetClaymorePairCorr
  0.71RFDA RiverFront DynamicPairCorr
  0.64JNK SPDR Bloomberg HighPairCorr
  0.62BJUN Innovator SP 500PairCorr
  0.82GOP Unusual Whales Subversive Symbol ChangePairCorr
  0.7CNXT VanEck ChiNext ETFPairCorr
  0.81MCHI iShares MSCI ChinaPairCorr

Related Correlations Analysis


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

  

High negative correlations

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MRKMETA
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Themes Cybersecurity Competition Risk-Adjusted Indicators

There is a big difference between Themes Etf performing well and Themes Cybersecurity 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 Cybersecurity'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 DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
META  1.24 (0.35) 0.00 (0.38) 0.00 
 1.87 
 13.52 
MSFT  0.85 (0.13) 0.00 (0.14) 0.00 
 1.85 
 5.08 
UBER  1.50 (0.21) 0.00 (0.15) 0.00 
 3.34 
 10.91 
F  1.50  0.16  0.10  0.14  1.66 
 3.66 
 16.30 
T  1.00 (0.19) 0.00 (0.78) 0.00 
 1.84 
 6.25 
A  1.32  0.34  0.25  0.30  1.02 
 3.93 
 11.03 
CRM  1.61 (0.15) 0.00 (0.10) 0.00 
 2.93 
 9.91 
JPM  0.89  0.00  0.00  0.04  1.33 
 1.67 
 5.76 
MRK  1.29  0.19  0.13  0.38  1.14 
 3.84 
 11.45 
XOM  0.93  0.10  0.06  0.40  1.10 
 1.78 
 4.71