Games Workshop Stock Forecast - Double Exponential Smoothing
| G7W Stock | 169.00 3.60 2.18% |
The Double Exponential Smoothing forecasted value of Games Workshop Group on the next trading day is expected to be 172.80 with a mean absolute deviation of 2.34 and the sum of the absolute errors of 138.26. Games Stock Forecast is based on your current time horizon.
Games |
Games Workshop Double Exponential Smoothing Price Forecast For the 3rd of December
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Games Workshop Group on the next trading day is expected to be 172.80 with a mean absolute deviation of 2.34, mean absolute percentage error of 17.05, and the sum of the absolute errors of 138.26.Please note that although there have been many attempts to predict Games Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Games Workshop's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Games Workshop Stock Forecast Pattern
| Backtest Games Workshop | Games Workshop Price Prediction | Buy or Sell Advice |
Games Workshop Forecasted Value
In the context of forecasting Games Workshop'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. Games Workshop's downside and upside margins for the forecasting period are 170.01 and 175.60, respectively. We have considered Games Workshop'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Games Workshop stock data series using in forecasting. Note that when a statistical model is used to represent Games Workshop 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.1923 |
| MAD | Mean absolute deviation | 2.3434 |
| MAPE | Mean absolute percentage error | 0.0167 |
| SAE | Sum of the absolute errors | 138.263 |
Predictive Modules for Games Workshop
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Games Workshop Group. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Games Workshop's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Games Workshop
For every potential investor in Games, whether a beginner or expert, Games Workshop's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Games Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Games. Basic forecasting techniques help filter out the noise by identifying Games Workshop's price trends.Games Workshop 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 Games Workshop stock to make a market-neutral strategy. Peer analysis of Games Workshop could also be used in its relative valuation, which is a method of valuing Games Workshop by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Games Workshop Group Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Games Workshop's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Games Workshop's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Games Workshop Market Strength Events
Market strength indicators help investors to evaluate how Games Workshop stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Games Workshop shares will generate the highest return on investment. By undertsting and applying Games Workshop stock market strength indicators, traders can identify Games Workshop Group entry and exit signals to maximize returns.
Games Workshop Risk Indicators
The analysis of Games Workshop'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 Games Workshop's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting games 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 | 1.6 | |||
| Semi Deviation | 1.16 | |||
| Standard Deviation | 2.79 | |||
| Variance | 7.76 | |||
| Downside Variance | 2.49 | |||
| Semi Variance | 1.35 | |||
| Expected Short fall | (1.94) |
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.
Thematic Opportunities
Explore Investment Opportunities
Additional Tools for Games Stock Analysis
When running Games Workshop's price analysis, check to measure Games Workshop's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Games Workshop is operating at the current time. Most of Games Workshop's value examination focuses on studying past and present price action to predict the probability of Games Workshop's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Games Workshop's price. Additionally, you may evaluate how the addition of Games Workshop to your portfolios can decrease your overall portfolio volatility.