Berli Jucker Stock Forecast - 4 Period Moving Average

BJC Stock  THB 23.10  0.20  0.86%   
The 4 Period Moving Average forecasted value of Berli Jucker Public on the next trading day is expected to be 23.15 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 18.57. Berli Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Berli Jucker Public is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Berli Jucker 4 Period Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Berli Jucker Public on the next trading day is expected to be 23.15 with a mean absolute deviation of 0.32, mean absolute percentage error of 0.18, and the sum of the absolute errors of 18.57.
Please note that although there have been many attempts to predict Berli 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 Berli Jucker's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Berli Jucker Stock Forecast Pattern

Backtest Berli JuckerBerli Jucker Price PredictionBuy or Sell Advice 

Berli Jucker Forecasted Value

In the context of forecasting Berli Jucker'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. Berli Jucker's downside and upside margins for the forecasting period are 21.63 and 24.67, respectively. We have considered Berli Jucker'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
23.10
23.15
Expected Value
24.67
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Berli Jucker stock data series using in forecasting. Note that when a statistical model is used to represent Berli Jucker 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 Criteria110.855
BiasArithmetic mean of the errors 0.022
MADMean absolute deviation0.3203
MAPEMean absolute percentage error0.0134
SAESum of the absolute errors18.575
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Berli Jucker. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Berli Jucker Public and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Berli Jucker

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Berli Jucker Public. 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
0.000.001.51
Details
Intrinsic
Valuation
LowRealHigh
0.000.001.51
Details
Bollinger
Band Projection (param)
LowMiddleHigh
22.3123.2824.26
Details

Other Forecasting Options for Berli Jucker

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

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

Berli Jucker Public 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 Berli Jucker'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 Berli Jucker's current price.

Berli Jucker Market Strength Events

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

Berli Jucker Risk Indicators

The analysis of Berli Jucker'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 Berli Jucker's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting berli 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Berli Stock

Berli Jucker financial ratios help investors to determine whether Berli 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 Berli with respect to the benefits of owning Berli Jucker security.