Jerónimo Martins Stock Forecast - Double Exponential Smoothing

JEM Stock  EUR 18.34  0.03  0.16%   
The Double Exponential Smoothing forecasted value of Jernimo Martins SGPS on the next trading day is expected to be 18.38 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 15.64. Jerónimo Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Jerónimo Martins' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
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 Jerónimo Martins works best with periods where there are trends or seasonality.

Jerónimo Martins Double Exponential Smoothing Price Forecast For the 3rd of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Jernimo Martins SGPS on the next trading day is expected to be 18.38 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.12, and the sum of the absolute errors of 15.64.
Please note that although there have been many attempts to predict Jerónimo 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 Jerónimo Martins' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Jerónimo Martins Stock Forecast Pattern

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Jerónimo Martins Forecasted Value

In the context of forecasting Jerónimo Martins' 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. Jerónimo Martins' downside and upside margins for the forecasting period are 16.54 and 20.22, respectively. We have considered Jerónimo Martins' 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
18.34
18.38
Expected Value
20.22
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 Jerónimo Martins stock data series using in forecasting. Note that when a statistical model is used to represent Jerónimo Martins 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 0.0491
MADMean absolute deviation0.265
MAPEMean absolute percentage error0.0152
SAESum of the absolute errors15.6363
When Jernimo Martins SGPS 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 Jernimo Martins SGPS 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 Jerónimo Martins observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Jerónimo Martins

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jernimo Martins SGPS. 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
16.5018.3420.18
Details
Intrinsic
Valuation
LowRealHigh
13.1815.0220.17
Details
Bollinger
Band Projection (param)
LowMiddleHigh
17.1718.0818.99
Details

Other Forecasting Options for Jerónimo Martins

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

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

Jernimo Martins SGPS 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 Jerónimo Martins' 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 Jerónimo Martins' current price.

Jerónimo Martins Market Strength Events

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

Jerónimo Martins Risk Indicators

The analysis of Jerónimo Martins' 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 Jerónimo Martins' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jerónimo 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 Jerónimo Stock

Jerónimo Martins financial ratios help investors to determine whether Jerónimo 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 Jerónimo with respect to the benefits of owning Jerónimo Martins security.