Impact Coatings Stock Forward View - Triple Exponential Smoothing

IMPC Stock  SEK 1.36  0.01  0.74%   
The Triple Exponential Smoothing forecast reference data for Impact Coatings publ is based on the equity's recent trading history. Forecast values and accuracy indicators are summarized on this page for reference. This reference information is provided for analytical context.
The Triple Exponential Smoothing forecasted value of Impact Coatings publ on the next trading day is expected to be 1.34 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.89.As with simple exponential smoothing, in triple exponential smoothing models past Impact Coatings observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Impact Coatings publ observations. The Triple Exponential Smoothing projections for Impact Coatings publ are reference data based on historical daily prices and are provided as informational context.
Triple exponential smoothing for Impact Coatings - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Impact Coatings 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 trend in Impact Coatings price movement. However, neither of these exponential smoothing models address any seasonality of Impact Coatings publ.

Triple Exponential Smoothing Price Forecast For the 23rd of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Impact Coatings publ on the next trading day is expected to be 1.34 with a mean absolute deviation of 0.03 , mean absolute percentage error of 0.0019 , and the sum of the absolute errors of 1.89 .
Please note that although there have been many attempts to predict Impact 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 Impact Coatings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates Impact Coatings' predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 0.01 and upside around 4.29 for the forecasting period.
Market Value
1.36
1.34
Expected Value
4.29
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Impact Coatings stock data series using in forecasting. Note that when a statistical model is used to represent Impact Coatings 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.0044
MADMean absolute deviation0.0321
MAPEMean absolute percentage error0.0218
SAESum of the absolute errors1.8942
As with simple exponential smoothing, in triple exponential smoothing models past Impact Coatings observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Impact Coatings publ observations.

Other Forecasting Options for Impact Coatings

Volatility clustering is a well-documented feature of Impact Stock price data where periods of large moves tend to follow other large moves. When Impact Coatings' RSI reaches extreme levels, it often precedes a short-term price correction or consolidation. Seasonal patterns in Impact Coatings' returns can persist when driven by structural factors like earnings calendars or index rebalancing.

Impact Coatings Related Equities

These firms work in a similar space as Impact Coatings within the Industrials space and serve as useful points for comparison. Checking Impact Coatings against peers on P/E, margins, and return on equity helps put its position in context.
 Risk & Return  Correlation

Impact Coatings Market Strength Events

Analyzing market strength indicators for Impact Coatings enables investors to understand relative stock momentum. Investors use these tools to determine the best times to initiate or close positions in Impact Coatings publ. Market strength indicators support more precise timing of Impact Coatings publ positions across market cycles.

Impact Coatings Risk Indicators

Identifying and analyzing Impact Coatings' key risk indicators is a foundational step in projecting how its price may evolve. This process involves measuring the level of investment risk in Impact Coatings' and determining how best to manage it. Studying Impact Coatings' risk indicators helps investors understand the risk level of impact stock.
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 Impact Coatings

The amount of media and story coverage tied to Impact Coatings publ can signal where market attention is concentrating at the moment. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

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.

Impact Coatings Short Properties

Short sentiment tied to Impact Coatings publ matters because heavier bearish pressure can change how quickly future price expectations become unstable. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
Common Stock Shares Outstanding56.6 M
Cash And Short Term Investments129.5 M

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