Central Asia Stock Forward View - Double Exponential Smoothing
| CAML Stock | 158.80 -10.80 -6.37% |
This page provides reference data for Central Asia using Double Exponential Smoothing forecasting. The projected value and error metrics are calculated from available daily price observations.
The Double Exponential Smoothing forecasted value of Central Asia Metals on the next trading day is expected to be 157.52 with a mean absolute deviation of 4.80 and the sum of the absolute errors of 283.13.When Central Asia Metals 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 Central Asia Metals 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 Central Asia observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing reference page for Central Asia presents model-generated projections from historical price data for informational purposes. Double Exponential Smoothing Price Forecast For the 20th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Central Asia Metals on the next trading day is expected to be 157.52 with a mean absolute deviation of 4.80 , mean absolute percentage error of 82.98 , and the sum of the absolute errors of 283.13 .Please note that although there have been many attempts to predict Central 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 Central Asia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Central Asia | Central Asia Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Central Asia Metals uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The current forecast range spans downside near 153.59 and upside near 161.45.
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 Central Asia stock data series using in forecasting. Note that when a statistical model is used to represent Central Asia 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 | 1.5049 |
| MAD | Mean absolute deviation | 4.7989 |
| MAPE | Mean absolute percentage error | 0.0243 |
| SAE | Sum of the absolute errors | 283.1323 |
Other Forecasting Options for Central Asia
For investors considering Central, Central Asia's price movement is the most direct driver of investment returns. Noise in Central Stock price charts can make identifying meaningful trends difficult without dedicated analytical tools.Central Asia Related Equities
The following equities are related to Central Asia within the Materials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Central Asia 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 |
Central Asia Market Strength Events
Market strength indicators for Central Asia provide investors with a view of how the stock performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in Central Asia Metals.
Central Asia Risk Indicators
A structured analysis of Central Asia's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in Central Asia's allows investors to decide whether to accept, reduce, or hedge their exposure.
| Mean Deviation | 2.07 | |||
| Semi Deviation | 4.88 | |||
| Standard Deviation | 3.74 | |||
| Variance | 13.99 | |||
| Downside Variance | 27.68 | |||
| Semi Variance | 23.85 | |||
| Expected Short fall | -1.90 |
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 Central Asia
Coverage intensity for Central Asia Metals 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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Central Asia Short Properties
Short sentiment tied to Central Asia Metals matters because heavier bearish pressure can change how quickly future price expectations become unstable. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 185.7 M | |
| Cash And Short Term Investments | 67.3 M |
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