AP Møller Stock Forward View - Triple Exponential Smoothing
| DP4B Stock | EUR 2,440 17.00 0.70% |
AP Møller's Triple Exponential Smoothing reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Triple Exponential Smoothing forecasted value of AP Mller on the next trading day is expected to be 2,510 with a mean absolute deviation of 10.02 and the sum of the absolute errors of 591.47.As with simple exponential smoothing, in triple exponential smoothing models past AP Møller 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 AP Mller observations. AP Møller's Triple Exponential Smoothing reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Triple Exponential Smoothing Price Forecast For the 28th of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of AP Mller on the next trading day is expected to be 2,510 with a mean absolute deviation of 10.02 , mean absolute percentage error of 1,290 , and the sum of the absolute errors of 591.47 .Please note that although there have been many attempts to predict DP4B 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 AP Møller's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest AP Møller | AP Møller Price Prediction | Research Analysis |
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 AP Møller stock data series using in forecasting. Note that when a statistical model is used to represent AP Møller 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 | -6.1596 |
| MAD | Mean absolute deviation | 10.025 |
| MAPE | Mean absolute percentage error | 0.0045 |
| SAE | Sum of the absolute errors | 591.4733 |
AP Møller Related Equities
Sizing up AP Møller against these stocks within the Materials space shows how it compares on key financial measures. Peer review on balance sheet metrics shows how AP Møller's capital structure stacks up against similar firms.
| Risk & Return | Correlation |
AP Møller Market Strength Events
Market strength indicators for AP Møller stock provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade AP Møller.
AP Møller Risk Indicators
Assessing AP Møller's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting AP Møller's future price accurately requires understanding and quantifying the risks present in the investment.
| Mean Deviation | 0.9019 | |||
| Standard Deviation | 1.9 | |||
| Variance | 3.63 | |||
| Downside Variance | 1.9 | |||
| Semi Variance | -0.21 | |||
| Expected Short fall | -2.87 |
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 AP Møller
Story coverage around AP Mller often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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AP Møller Short Properties
Reviewing short-oriented indicators for AP Mller is useful because long and short participants often create very different signals for timing and volatility. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
| Common Stock Shares Outstanding | 14.7 M | |
| Dividends Paid | 2.5 B |
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Other Information on Investing in DP4B Stock
These ratios describe connections between financial data points for AP Møller. The structure keeps comparisons consistent across reporting periods.