AMS Small Index Forward View - Double Exponential Smoothing
| ASCX Index | 1,589 -1.24 -0.08% |
AMS Small Cap's Double Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for AMS Small. This page is updated as new daily closing prices become available for AMS Small.
The Double Exponential Smoothing forecasted value of AMS Small Cap on the next trading day is expected to be 1,592 with a mean absolute deviation of 13.50 and the sum of the absolute errors of 796.56.When AMS Small Cap 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 AMS Small Cap 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 AMS Small observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for AMS Small Cap are reference data reflecting model output based on available historical prices. Double Exponential Smoothing Price Forecast For the 23rd of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of AMS Small Cap on the next trading day is expected to be 1,592 with a mean absolute deviation of 13.50 , mean absolute percentage error of 303.03 , and the sum of the absolute errors of 796.56 .Please note that although there have been many attempts to predict AMS Index 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 AMS Small's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Index Forecast Pattern
Forecasted Value
For the next trading day, Macroaxis evaluates AMS Small's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 1,591 on the downside to about 1,593 on the upside.
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 AMS Small index data series using in forecasting. Note that when a statistical model is used to represent AMS Small index, 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 | 1.4254 |
| MAD | Mean absolute deviation | 13.501 |
| MAPE | Mean absolute percentage error | 0.0083 |
| SAE | Sum of the absolute errors | 796.5581 |
Other Forecasting Options for AMS Small
Bollinger Bands applied to AMS Index price data measure how far AMS has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to AMS Small's price data. On-balance volume for AMS Index creates a running indicator of buying versus selling pressure in AMS. Price departures from the channel boundary often mean-revert, offering tactical signals for AMS Small's.AMS Small Related Equities
AMS Small's market space is best grasped by looking at the firms listed below. Peer review on balance sheet metrics shows how AMS Small's capital structure stacks up against similar firms.
| Risk & Return | Correlation |
AMS Small Market Strength Events
For investors tracking AMS Small Cap, market strength indicators offer quantitative evaluation of index behavior. By using these indicators, traders can make more informed decisions about when to buy or sell AMS Small Cap. These indicators capture shifts in momentum that may precede significant price moves in AMS Small. These metrics provide actionable context for both entry and risk management decisions around AMS Small Cap.
AMS Small Risk Indicators
Analyzing AMS Small's basic risk indicators provides investors with a structured view of the risk-return trade-off for ams index. By identifying the level of risk embedded in AMS Small's investment, investors can make informed decisions about position sizing. Analyzing AMS Small's risk indicators gives investors important context for price forecasting. Understanding the risk in AMS Small's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 0.783 | |||
| Semi Deviation | 1.09 | |||
| Standard Deviation | 1.07 | |||
| Variance | 1.14 | |||
| Downside Variance | 1.45 | |||
| Semi Variance | 1.19 | |||
| Expected Short fall | -0.76 |
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 AMS Small
A coverage review of AMS Small Cap shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.