Goldman Sachs Mutual Fund Forward View - Simple Regression
| GCEDX Fund | USD 12.95 0.16 1.25% |
The Simple Regression forecast reference data for Goldman Sachs Clean is based on the equity's recent trading history. This page summarizes the model output and key accuracy metrics for reference.
The Simple Regression forecasted value of Goldman Sachs Clean on the next trading day is expected to be 13.16 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.80.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Goldman Sachs Clean historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. All Simple Regression forecast figures shown for Goldman Sachs Clean are reference data reflecting model output based on available historical prices. Simple Regression Price Forecast For the 19th of March
Given 90 days horizon, the Simple Regression forecasted value of Goldman Sachs Clean on the next trading day is expected to be 13.16 with a mean absolute deviation of 0.22 , mean absolute percentage error of 0.07 , and the sum of the absolute errors of 13.80 .Please note that although there have been many attempts to predict Goldman Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Goldman Sachs' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Goldman Sachs | Goldman Sachs Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Goldman Sachs Clean uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Goldman Sachs mutual fund data series using in forecasting. Note that when a statistical model is used to represent Goldman Sachs mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 117.2605 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2226 |
| MAPE | Mean absolute percentage error | 0.0181 |
| SAE | Sum of the absolute errors | 13.8004 |
Other Forecasting Options for Goldman Sachs
Whether a novice or experienced investor, anyone considering Goldman needs to understand the dynamics of Goldman Sachs' price movement. Price charts for Goldman Mutual Fund contain a significant amount of noise that can distort investment decisions.Goldman Sachs Related Equities
The following equities are related to Goldman Sachs within the Miscellaneous Sector space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Goldman Sachs against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Goldman Sachs Market Strength Events
Analyzing market strength indicators for Goldman Sachs enables investors to understand how the mutual fund performs relative to overall market momentum. These indicators are valuable tools for identifying when to enter or exit positions in Goldman Sachs Clean.
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 12.95 | |||
| Day Typical Price | 12.95 | |||
| Price Action Indicator | 0.08 | |||
| Period Momentum Indicator | 0.16 | |||
| Relative Strength Index | 63.28 |
Goldman Sachs Risk Indicators
Identifying and analyzing Goldman Sachs' key risk indicators is a foundational step in projecting how its price may evolve. This process helps investors quantify the risk associated with Goldman Sachs' and decide how to manage it.
| Mean Deviation | 0.7488 | |||
| Semi Deviation | 0.826 | |||
| Standard Deviation | 0.9967 | |||
| Variance | 0.9935 | |||
| Downside Variance | 1.3 | |||
| Semi Variance | 0.6822 | |||
| Expected Short fall | -0.83 |
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.
Story Coverage note for Goldman Sachs
Coverage intensity for Goldman Sachs Clean matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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