GoldMining Stock Forward View - Double Exponential Smoothing
| GOLD Stock | CAD 1.53 -0.21 -12.07% |
The forecast reference data for GoldMining on this page is generated using Double Exponential Smoothing applied to historical price observations. Projected values and error measures are included as reference material.
The Double Exponential Smoothing forecasted value of GoldMining on the next trading day is expected to be 1.51 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.18.When GoldMining prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any GoldMining trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent GoldMining observations are given relatively more weight in forecasting than the older observations. The Double Exponential Smoothing reference values for GoldMining are derived from publicly available price data and should be used for informational purposes only. Double Exponential Smoothing Price Forecast For the 20th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of GoldMining on the next trading day is expected to be 1.51 with a mean absolute deviation of 0.09 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 5.18 .Please note that although there have been many attempts to predict GoldMining 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 GoldMining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest GoldMining | GoldMining Price Prediction | Research Analysis |
Forecasted Value
Forecasting GoldMining for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. At the moment, the model places downside around 0.02 and upside around 6.76 for the forecasting period.
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 GoldMining stock data series using in forecasting. Note that when a statistical model is used to represent GoldMining 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 | 0.0199 |
| MAD | Mean absolute deviation | 0.0878 |
| MAPE | Mean absolute percentage error | 0.0416 |
| SAE | Sum of the absolute errors | 5.1785 |
Other Forecasting Options for GoldMining
Investors at all stages of experience who consider GoldMining must develop an understanding of GoldMining's price dynamics. The noise embedded in GoldMining Stock price charts can create misleading signals and skew investment decisions.GoldMining Related Equities
The following equities are related to GoldMining within the Materials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing GoldMining 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 |
GoldMining Market Strength Events
Market strength indicators applied to GoldMining stock give investors a structured view of the security's momentum relative to the overall market. Using these indicators, traders can refine their timing when entering or exiting positions in GoldMining.
GoldMining Risk Indicators
Evaluating GoldMining's risk indicators is an important step in accurately forecasting its price and assessing the suitability of an investment. Understanding the risk profile of GoldMining's allows investors to make more informed decisions about position sizing and risk.
| Mean Deviation | 3.82 | |||
| Standard Deviation | 5.12 | |||
| Variance | 26.18 |
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 GoldMining
Story coverage around GoldMining often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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GoldMining Short Properties
A short-interest review of GoldMining provides context for understanding whether skepticism in the market is becoming more influential. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
| Common Stock Shares Outstanding | 199.1 M | |
| Cash And Short Term Investments | 26.4 M |
More Resources for GoldMining Stock Analysis
Reviewing GoldMining typically starts with core financial statements and performance trends. Ratio analysis outlines performance across profit, efficiency, and growth.Historical Fundamental Analysis of GoldMining offers a historical basis for evaluating projection assumptions about GoldMining. Fundamental trends over prior periods offer a reference for evaluating GoldMining's projections. Cross-verification against historical data is most useful when the underlying business is stable. Ready to invest in GoldMining Stock? Our How to Invest in GoldMining guide walks you through the process.GoldMining currently shows ROE of -8.89%, market cap of 327.05 Million. GoldMining analysis should be paired with portfolio risk and diversification tools before adjusting allocations. For GoldMining, the analytical tools below add portfolio-level context that single-security review alone cannot provide. You can also try the Stocks Directory module to find actively traded stocks across global markets.