G-III Apparel Stock Forward View - Simple Exponential Smoothing
| GI4 Stock | EUR 25.20 0.80 3.08% |
G-III Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of G-III Apparel's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 8th of February 2026 the relative strength index (rsi) of G-III Apparel's share price is below 20 . This usually indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth (0.28) | Wall Street Target Price 38.43 | Quarterly Revenue Growth (0.09) |
Using G-III Apparel hype-based prediction, you can estimate the value of G III Apparel Group from the perspective of G-III Apparel response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of G III Apparel Group on the next trading day is expected to be 25.23 with a mean absolute deviation of 0.43 and the sum of the absolute errors of 25.54. G-III Apparel after-hype prediction price | EUR 25.27 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
G-III |
G-III Apparel Additional Predictive Modules
Most predictive techniques to examine G-III price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for G-III using various technical indicators. When you analyze G-III 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
G-III Apparel Simple Exponential Smoothing Price Forecast For the 9th of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of G III Apparel Group on the next trading day is expected to be 25.23 with a mean absolute deviation of 0.43, mean absolute percentage error of 0.30, and the sum of the absolute errors of 25.54.Please note that although there have been many attempts to predict G-III Stock 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 G-III Apparel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
G-III Apparel Stock Forecast Pattern
| Backtest G-III Apparel | G-III Apparel Price Prediction | Research Analysis |
G-III Apparel Forecasted Value
In the context of forecasting G-III Apparel's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. G-III Apparel's downside and upside margins for the forecasting period are 22.98 and 27.47, respectively. We have considered G-III Apparel's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of G-III Apparel stock data series using in forecasting. Note that when a statistical model is used to represent G-III Apparel stock, 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 | 115.0592 |
| Bias | Arithmetic mean of the errors | -0.0317 |
| MAD | Mean absolute deviation | 0.4256 |
| MAPE | Mean absolute percentage error | 0.0169 |
| SAE | Sum of the absolute errors | 25.5365 |
Predictive Modules for G-III Apparel
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as G III Apparel. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.G-III Apparel After-Hype Price Density Analysis
As far as predicting the price of G-III Apparel at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in G-III Apparel or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of G-III Apparel, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
G-III Apparel Estimiated After-Hype Price Volatility
In the context of predicting G-III Apparel's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on G-III Apparel's historical news coverage. G-III Apparel's after-hype downside and upside margins for the prediction period are 23.03 and 27.51, respectively. We have considered G-III Apparel's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
G-III Apparel is not too volatile at this time. Analysis and calculation of next after-hype price of G III Apparel is based on 3 months time horizon.
G-III Apparel Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as G-III Apparel is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading G-III Apparel 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 Stock 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 G-III Apparel, 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 |
0.12 | 2.24 | 0.07 | 0.02 | 7 Events / Month | 1 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
25.20 | 25.27 | 0.28 |
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G-III Apparel Hype Timeline
G III Apparel is currently traded for 25.20on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.07, and average elasticity to hype of competition of 0.02. G-III is estimated to increase in value after the next headline, with the price projected to jump to 25.27 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is forecasted to be 0.28%, whereas the daily expected return is currently at 0.12%. The volatility of related hype on G-III Apparel is about 1400.0%, with the expected price after the next announcement by competition of 25.22. The company reported the revenue of 3.18 B. Net Income was 193.57 M with profit before overhead, payroll, taxes, and interest of 1.21 B. Assuming the 90 days horizon the next estimated press release will be in about 7 days. Check out Historical Fundamental Analysis of G-III Apparel to cross-verify your projections.G-III Apparel Related Hype Analysis
Having access to credible news sources related to G-III Apparel's direct competition is more important than ever and may enhance your ability to predict G-III Apparel's future price movements. Getting to know how G-III Apparel's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how G-III Apparel may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| WN6 | CarsalesCom | 0.00 | 0 per month | 0.00 | (0.31) | 2.11 | (3.33) | 10.04 | |
| O3I | FLOW TRADERS LTD | 0.58 | 4 per month | 1.11 | 0.09 | 3.06 | (2.02) | 5.84 | |
| 1ZO | ZhongAn Online P | (0.04) | 4 per month | 0.00 | (0.11) | 4.12 | (3.28) | 8.29 | |
| 6LA | Lamar Advertising | (0.98) | 9 per month | 0.98 | 0.06 | 2.77 | (1.85) | 7.58 | |
| CNJ | CANON MARKETING JP | 0.20 | 6 per month | 1.15 | 0.01 | 2.09 | (2.20) | 5.88 | |
| FOO | Salesforce | 1.20 | 7 per month | 0.00 | (0.22) | 2.76 | (4.41) | 14.31 |
Other Forecasting Options for G-III Apparel
For every potential investor in G-III, whether a beginner or expert, G-III Apparel's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. G-III Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in G-III. Basic forecasting techniques help filter out the noise by identifying G-III Apparel's price trends.G-III Apparel Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with G-III Apparel stock to make a market-neutral strategy. Peer analysis of G-III Apparel could also be used in its relative valuation, which is a method of valuing G-III Apparel by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
G-III Apparel Market Strength Events
Market strength indicators help investors to evaluate how G-III Apparel stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading G-III Apparel shares will generate the highest return on investment. By undertsting and applying G-III Apparel stock market strength indicators, traders can identify G III Apparel Group entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 25.2 | |||
| Day Typical Price | 25.2 | |||
| Price Action Indicator | (0.40) | |||
| Period Momentum Indicator | (0.80) |
G-III Apparel Risk Indicators
The analysis of G-III Apparel's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in G-III Apparel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting g-iii stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.77 | |||
| Semi Deviation | 1.91 | |||
| Standard Deviation | 2.26 | |||
| Variance | 5.11 | |||
| Downside Variance | 5.85 | |||
| Semi Variance | 3.66 | |||
| Expected Short fall | (2.22) |
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 G-III Apparel
The number of cover stories for G-III Apparel depends on current market conditions and G-III Apparel's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that G-III Apparel is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about G-III Apparel's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of G-III Apparel to cross-verify your projections. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.