Goldman Sachs ETF Forward View
| GEM ETF | USD 51.44 0.07 0.14% |
Goldman Sachs's Naive Prediction forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The Naive Prediction model projects Goldman Sachs at 52.85 for the next trading day, above the most recent closing price. The Naive Prediction output reflects statistical model results and is provided for reference purposes.
Naive Prediction Price Forecast For the 12th of May 2026
Over a 90-day horizon, the Naive Prediction model forecasts Goldman Sachs at 52.85 for the next trading day, with a mean absolute deviation of 0.70 , mean absolute percentage error of 0.02 , and sum of absolute errors of 42.40 .This represents a very tight forecast — the model closely tracks Goldman Sachs' recent price behavior. This output is intended for short-term analytical reference.
ETF Forecast Pattern
| Backtest Goldman Sachs | Goldman Sachs Price Prediction | Research Analysis |
Forecasted Value
This forecast for Goldman Sachs frames the expected trading range using downside and upside bounds rather than a single point target. Downside is estimated near 51.11 and upside near 54.60. The moderate spread reflects defined uncertainty around the forecast.
Model Predictive Factors
The table below summarizes the Naive Prediction model's error metrics for Goldman Sachs ETF. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.| AIC | Akaike Information Criteria | 117.6948 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6952 |
| MAPE | Mean absolute percentage error | 0.0153 |
| SAE | Sum of the absolute errors | 42.4043 |
Other Forecasting Options for Goldman Sachs
Analyzing Goldman Sachs' price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in Goldman Sachs' chart signal overbought or oversold conditions.Goldman Sachs Comparable Funds
The instruments listed below are comparable funds for Goldman Sachs and provide a practical reference set. Peer review is strongest when it focuses on NAV trend, discount or premium to NAV, yield, and fee burden. Peer comparison adds context for Goldman Sachs without forcing a company-style competitive framework onto the fund.
| Risk & Return | Correlation |
Goldman Sachs Market Strength Events
For investors tracking Goldman Sachs ActiveBeta, market strength indicators offer quantitative evaluation of ETF behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in Goldman Sachs.
Goldman Sachs Risk Indicators
Analyzing Goldman Sachs' basic risk indicators provides a structured view of the risk-return trade-off for goldman sachs etf. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for Goldman Sachs.
| Mean Deviation | 1.32 | |||
| Semi Deviation | 1.5 | |||
| Standard Deviation | 1.75 | |||
| Variance | 3.06 | |||
| Downside Variance | 2.91 | |||
| Semi Variance | 2.24 | |||
| Expected Short fall | -1.42 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.