GOTHAM LARGE Mutual Fund Forward View - Simple Regression
| GVALX Fund | USD 14.82 -0.08 -0.54% |
Momentum
Buy Extended
Oversold | Overbought |
This section provides headline-driven context for Gotham Large Value alongside peer activity.
The Simple Regression forecasted value of Gotham Large Value on the next trading day is expected to be 15.60 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.48.GOTHAM LARGE after-hype prediction price | $ 14.82 |
The sentiment panel provides context that can be compared with forecasting models and technical indicators.
GOTHAM |
GOTHAM LARGE Additional Predictive Modules
Most predictive techniques to examine GOTHAM price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for GOTHAM using various technical indicators. When you analyze GOTHAM charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
GOTHAM LARGE Simple Regression Price Forecast For the 12th of March 2026
Given 90 days horizon, the Simple Regression forecasted value of Gotham Large Value on the next trading day is expected to be 15.60 with a mean absolute deviation of 0.28 , mean absolute percentage error of 0.16 , and the sum of the absolute errors of 17.48 .Please note that although there have been many attempts to predict GOTHAM 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 GOTHAM LARGE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GOTHAM LARGE Mutual Fund Forecast Pattern
| Backtest GOTHAM LARGE | GOTHAM LARGE Price Prediction | Research Analysis |
GOTHAM LARGE Forecasted Value
This next-day forecast for Gotham Large Value uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
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 GOTHAM LARGE mutual fund data series using in forecasting. Note that when a statistical model is used to represent GOTHAM LARGE 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 | 118.0972 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.282 |
| MAPE | Mean absolute percentage error | 0.0202 |
| SAE | Sum of the absolute errors | 17.4817 |
The mean reversion effect in GOTHAM LARGE is stronger when the initial deviation was driven by sentiment rather than fundamental change. Identifying the root cause of GOTHAM LARGE's price dislocation is essential before acting.
GOTHAM LARGE After-Hype Price Density Analysis
The probability distribution for GOTHAM LARGE's predicted price encodes the full spectrum of outcomes, weighted by their estimated likelihood. Investors should compare this range against their personal risk tolerance before committing to GOTHAM LARGE positions.
Next price density |
| Expected price to next headline |
GOTHAM LARGE Estimiated After-Hype Price Volatility
The news prediction model for GOTHAM LARGE analyzes the correlation between GOTHAM LARGE's historical headline events and same-day or next-day price movements. GOTHAM LARGE's after-hype downside and upside margins for the prediction period are 13.16 and 16.48, respectively. Predictive accuracy varies significantly across different news categories and market regimes for GOTHAM LARGE.
Current Value
The after-hype framework applied to Gotham Large Value assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
GOTHAM LARGE Mutual Fund Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as GOTHAM LARGE is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading GOTHAM LARGE backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with GOTHAM LARGE, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.28 | 1.67 | 0.00 | 0.07 | 0 Events | 0 Events | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
14.82 | 14.82 | 0.00 |
|
GOTHAM LARGE Hype Timeline
Gotham Large Value is currently traded for 14.82. The fund stock is not elastic to its hype. The average elasticity to hype of competition is -0.07. GOTHAM is expected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is expected to be very small, whereas the daily expected return is currently at 0.28%. %. The volatility of related hype on GOTHAM LARGE is about 648.54%, with the expected price after the next announcement by competition of 14.75. The fund last dividend was issued on the 12th of December 1970. Assuming a 90-day horizon the next expected press release will be in a few days. Historical Fundamental Analysis of GOTHAM LARGE can be used to cross-verify projections for GOTHAM LARGE. The historical series provides projection context.GOTHAM LARGE Related Hype Analysis
Sector-wide news events often affect GOTHAM LARGE before the fundamental impact on GOTHAM LARGE's own business becomes clear. Peer hype analysis helps investors distinguish between sector-level sentiment shifts and GOTHAM LARGE-specific developments.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| VVIAX | Vanguard Value Index | -1.03 | 1 per month | 0.53 | 0.13 | 0.95 | -1.16 | 3.26 | |
| FWWMX | American Funds Washington | 0.00 | 0 per month | 0.56 | 0.1 | 0.92 | -1.04 | 7.25 | |
| FWMMX | American Funds Washington | 0.00 | 0 per month | 0.56 | 0.1 | 0.94 | -1.04 | 7.25 | |
| AMFFX | American Mutual Fund | 0.00 | 0 per month | 0.59 | 0.07 | 0.82 | -0.99 | 2.92 |
Other Forecasting Options for GOTHAM LARGE
For both new and experienced investors in GOTHAM, the ability to analyze GOTHAM LARGE's price movement is a fundamental investment skill. Price chart noise in GOTHAM Mutual Fund can create false signals and mislead investment decisions.GOTHAM LARGE Related Equities
The following equities are related to GOTHAM LARGE within the Large Value space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing GOTHAM LARGE 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 |
GOTHAM LARGE Market Strength Events
Tracking market strength indicators for GOTHAM LARGE helps investors understand the momentum dynamics of the mutual fund in real time. These signals support informed decisions about when to enter or exit positions in Gotham Large Value for maximum return potential.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 14.82 | |||
| Day Typical Price | 14.82 | |||
| Price Action Indicator | -0.04 | |||
| Period Momentum Indicator | -0.08 | |||
| Relative Strength Index | 56.43 |
GOTHAM LARGE Risk Indicators
Properly assessing GOTHAM LARGE's risk indicators is a prerequisite for building reliable price forecasts. Identifying and quantifying the risks associated with GOTHAM LARGE's allows investors to make better-informed decisions about accepting or hedging their exposure.
| Mean Deviation | 0.7385 | |||
| Semi Deviation | 0.2381 | |||
| Standard Deviation | 1.6 | |||
| Variance | 2.57 | |||
| Downside Variance | 0.4741 | |||
| Semi Variance | 0.0567 | |||
| Expected Short fall | -0.91 |
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 GOTHAM LARGE
Coverage intensity for Gotham Large Value matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Story coverage on Macroaxis is built for readers who approach markets from different levels of experience but share the same need for disciplined investment context. Used well, these stories become part of a broader workflow built around idea generation, validation, and risk-adjusted portfolio design.