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.
Moving together with Themes Etf
| 0.72 | VGT | Vanguard Information | PairCorr |
| 0.64 | XLK | Technology Select Sector | PairCorr |
| 0.65 | IYW | iShares Technology ETF | PairCorr |
| 0.93 | CIBR | First Trust NASDAQ | PairCorr |
| 0.68 | FTEC | Fidelity MSCI Information | PairCorr |
| 0.92 | IGV | iShares Expanded Tech | PairCorr |
| 0.65 | FDN | First Trust Dow | PairCorr |
| 0.67 | IGM | iShares Expanded Tech | PairCorr |
| 0.7 | UPRO | ProShares UltraPro SP500 | PairCorr |
| 0.61 | XTOC | Innovator ETFs Trust | PairCorr |
| 0.74 | PPI | Investment Managers | PairCorr |
| 0.64 | FELG | Fidelity Covington Trust | PairCorr |
| 0.63 | WIA | Western AssetClaymore | PairCorr |
| 0.71 | RFDA | RiverFront Dynamic | PairCorr |
| 0.64 | JNK | SPDR Bloomberg High | PairCorr |
| 0.62 | BJUN | Innovator SP 500 | PairCorr |
| 0.82 | GOP | Unusual Whales Subversive Symbol Change | PairCorr |
| 0.7 | CNXT | VanEck ChiNext ETF | PairCorr |
| 0.81 | MCHI | iShares MSCI China | PairCorr |
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
|
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 Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum 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 |