Schibsted ASA Stock Forecast - Double Exponential Smoothing

SCHB Stock  NOK 363.20  2.40  0.66%   
The Double Exponential Smoothing forecasted value of Schibsted ASA B on the next trading day is expected to be 363.46 with a mean absolute deviation of 4.49 and the sum of the absolute errors of 269.50. Schibsted Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Schibsted ASA works best with periods where there are trends or seasonality.

Schibsted ASA Double Exponential Smoothing Price Forecast For the 6th of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Schibsted ASA B on the next trading day is expected to be 363.46 with a mean absolute deviation of 4.49, mean absolute percentage error of 34.75, and the sum of the absolute errors of 269.50.
Please note that although there have been many attempts to predict Schibsted Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Schibsted ASA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Schibsted ASA Stock Forecast Pattern

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Schibsted ASA Forecasted Value

In the context of forecasting Schibsted ASA's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Schibsted ASA's downside and upside margins for the forecasting period are 361.53 and 365.40, respectively. We have considered Schibsted ASA's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
363.20
361.53
Downside
363.46
Expected Value
365.40
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 Schibsted ASA stock data series using in forecasting. Note that when a statistical model is used to represent Schibsted ASA 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 -1.0047
MADMean absolute deviation4.4916
MAPEMean absolute percentage error0.0136
SAESum of the absolute errors269.4964
When Schibsted ASA B 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 Schibsted ASA B 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 Schibsted ASA observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Schibsted ASA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Schibsted ASA B. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
361.28363.20365.12
Details
Intrinsic
Valuation
LowRealHigh
346.43348.35399.52
Details
Bollinger
Band Projection (param)
LowMiddleHigh
341.51350.71359.92
Details

Other Forecasting Options for Schibsted ASA

For every potential investor in Schibsted, whether a beginner or expert, Schibsted ASA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Schibsted Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Schibsted. Basic forecasting techniques help filter out the noise by identifying Schibsted ASA's price trends.

Schibsted ASA Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Schibsted ASA stock to make a market-neutral strategy. Peer analysis of Schibsted ASA could also be used in its relative valuation, which is a method of valuing Schibsted ASA by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Schibsted ASA B Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Schibsted ASA's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Schibsted ASA's current price.

Schibsted ASA Market Strength Events

Market strength indicators help investors to evaluate how Schibsted ASA stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Schibsted ASA shares will generate the highest return on investment. By undertsting and applying Schibsted ASA stock market strength indicators, traders can identify Schibsted ASA B entry and exit signals to maximize returns.

Schibsted ASA Risk Indicators

The analysis of Schibsted ASA's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Schibsted ASA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting schibsted stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.

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Other Information on Investing in Schibsted Stock

Schibsted ASA financial ratios help investors to determine whether Schibsted Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Schibsted with respect to the benefits of owning Schibsted ASA security.