Skane Mollan Stock Forecast - Double Exponential Smoothing

SKMO Stock  SEK 49.00  1.50  2.97%   
The Double Exponential Smoothing forecasted value of Skane mollan AB on the next trading day is expected to be 49.14 with a mean absolute deviation of 1.26 and the sum of the absolute errors of 74.29. Skane 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 Skane Mollan works best with periods where there are trends or seasonality.

Skane Mollan Double Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Skane mollan AB on the next trading day is expected to be 49.14 with a mean absolute deviation of 1.26, mean absolute percentage error of 2.99, and the sum of the absolute errors of 74.29.
Please note that although there have been many attempts to predict Skane 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 Skane Mollan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Skane Mollan Stock Forecast Pattern

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Skane Mollan Forecasted Value

In the context of forecasting Skane Mollan'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. Skane Mollan's downside and upside margins for the forecasting period are 46.17 and 52.10, respectively. We have considered Skane Mollan'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
49.00
49.14
Expected Value
52.10
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 Skane Mollan stock data series using in forecasting. Note that when a statistical model is used to represent Skane Mollan 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 0.2557
MADMean absolute deviation1.2591
MAPEMean absolute percentage error0.0245
SAESum of the absolute errors74.2856
When Skane mollan AB 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 Skane mollan AB 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 Skane Mollan observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Skane Mollan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Skane mollan 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.
Hype
Prediction
LowEstimatedHigh
47.5050.5053.50
Details
Intrinsic
Valuation
LowRealHigh
39.5342.5255.55
Details
Bollinger
Band Projection (param)
LowMiddleHigh
45.6449.4553.26
Details

Other Forecasting Options for Skane Mollan

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

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

Skane mollan 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 Skane Mollan'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 Skane Mollan's current price.

Skane Mollan Market Strength Events

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

Skane Mollan Risk Indicators

The analysis of Skane Mollan'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 Skane Mollan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting skane 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.

Thematic Opportunities

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Additional Tools for Skane Stock Analysis

When running Skane Mollan's price analysis, check to measure Skane Mollan's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Skane Mollan is operating at the current time. Most of Skane Mollan's value examination focuses on studying past and present price action to predict the probability of Skane Mollan's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Skane Mollan's price. Additionally, you may evaluate how the addition of Skane Mollan to your portfolios can decrease your overall portfolio volatility.