Themes Global Systemically Etf Performance
| GSIB Etf | 49.79 0.39 0.79% |
The etf secures a Beta (Market Risk) of 1.19, which means a somewhat significant risk relative to the market. Themes Global tends to amplify market moves - gaining more in rallies but giving back more during declines.
Risk-Adjusted Performance
Weak
Weak | Strong |
During the last 90 trading days, Themes Global Systemically produced negative risk-adjusted performance, which signals weak return efficiency for investors with long positions. The result matters because weak risk-adjusted return can persist even when isolated price moves briefly look constructive. Despite somewhat strong forward indicators, Themes Global is not utilizing all of its potential. The current price disturbance may contribute to short-term losses for investors. Learn More
Relative Risk vs. Return Landscape
If you had invested $ 5,111 in Themes Global Systemically on December 17, 2025 and sold it today you would have lost $ 132.00 from holding Themes Global Systemically or given up 2.58% of portfolio value over 90 days. Themes Global Systemically does not currently generate positive expected returns and carries 1.2178% risk (volatility on return distribution) over a 90-day horizon. In different words, 10% of etfs are less volatile than Themes, and 99% of all traded equity instruments are projected to make higher returns than the ETF over the 90 days investment horizon. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
For Themes Etf, the tendency of price to converge toward a long-term average provides a useful baseline for forecasting. Nonetheless, studies have found that some ETFs are persistently mispriced, with the spread correcting only when market dynamics shift significantly.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 49.79 | 90 days | 49.79 | about 97.0 |
Based on standard probability analysis, the odds of Themes Global moving above the current price in 90 days from now are about 97.0 (The chart above shows the probability distribution of Themes Etf prices over the next 90 days).
Themes Global Price Density |
| Price |
Predictive Modules for Themes Global
Accurately predicting the ETF market is one of the most challenging tasks in investing. For Themes Global, a range of forecasting tools can be applied, though none offer certainty. Despite this, systematic forecasting is a critical step in the investment process - comparing methods and results helps investors develop a more nuanced view of potential outcomes.The mean reversion principle applied to Themes Global's suggests that neither prolonged outperformance nor underperformance is permanent. Investors exploit this by positioning against extremes in price relative to fundamental value.
Primary Risk Indicators
The past 10-20 years have brought considerable volatility to the etf market, and Themes Global has been no exception. Sharp price drops and strong rallies have made hedging an important tool for managing portfolio risk. Investors in Themes Global Systemically should monitor Themes Global's fundamental risk indicators to stay ahead of market swings.α | Alpha over Dow Jones | 0.0016 | |
β | Beta against Dow Jones | 1.19 | |
σ | Overall volatility | 1.75 | |
Ir | Information ratio | -0.0028 |
Investor Alerts and Insights
Alerts and suggestions for Themes Global give investors a structured way to monitor the ETF for material events. Themes Global notifications flag important changes in technical indicators, fundamentals, and market conditions that may warrant attention.| Themes Global generated a negative expected return over the last 90 days | |
| Latest headline from news.google.com: Risk Channels and Responsive Allocation - Stock Traders Daily |
Performance Metrics & Calculation Methodology
Themes Global performance is typically evaluated relative to its benchmark and tracking difference over time. Market sensitivity appears generally aligned with broader economic conditions.
Inputs for Themes Global Systemically come from fund disclosures and market reference feeds and are mapped into a consistent schema for analysis. Some fields can appear with publication lag. Return and risk statistics are calculated from historical price series.