Holmen AB Stock Forecast - 20 Period Moving Average

HL9C Stock  EUR 36.68  0.06  0.16%   
The 20 Period Moving Average forecasted value of Holmen AB on the next trading day is expected to be 35.89 with a mean absolute deviation of 0.95 and the sum of the absolute errors of 38.89. Holmen Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Holmen AB's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Holmen AB is based on a synthetically constructed Holmen ABdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Holmen AB 20 Period Moving Average Price Forecast For the 15th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of Holmen AB on the next trading day is expected to be 35.89 with a mean absolute deviation of 0.95, mean absolute percentage error of 1.07, and the sum of the absolute errors of 38.89.
Please note that although there have been many attempts to predict Holmen 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 Holmen AB's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Holmen AB Stock Forecast Pattern

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Holmen AB Forecasted Value

In the context of forecasting Holmen AB'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. Holmen AB's downside and upside margins for the forecasting period are 34.69 and 37.09, respectively. We have considered Holmen AB'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
36.68
35.89
Expected Value
37.09
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Holmen AB stock data series using in forecasting. Note that when a statistical model is used to represent Holmen AB 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 Criteria81.4182
BiasArithmetic mean of the errors 0.5677
MADMean absolute deviation0.9486
MAPEMean absolute percentage error0.0262
SAESum of the absolute errors38.892
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Holmen AB 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Holmen AB

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Holmen AB. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Holmen AB's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
35.4836.6837.88
Details
Intrinsic
Valuation
LowRealHigh
30.9232.1240.35
Details
Bollinger
Band Projection (param)
LowMiddleHigh
34.8135.8536.89
Details

Other Forecasting Options for Holmen AB

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

Holmen AB 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 Holmen AB stock to make a market-neutral strategy. Peer analysis of Holmen AB could also be used in its relative valuation, which is a method of valuing Holmen AB by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Holmen AB 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 Holmen AB'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 Holmen AB's current price.

Holmen AB Market Strength Events

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

Holmen AB Risk Indicators

The analysis of Holmen AB'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 Holmen AB's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting holmen 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 Holmen Stock

Holmen AB financial ratios help investors to determine whether Holmen 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 Holmen with respect to the benefits of owning Holmen AB security.