Global Consumer Stock Forecast - Naive Prediction

GLOCON Stock  THB 0.20  0.02  11.11%   
The Naive Prediction forecasted value of Global Consumer Public on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.66. Global Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Global Consumer stock prices and determine the direction of Global Consumer Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Global Consumer's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Global Consumer is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Global Consumer Public value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Global Consumer Naive Prediction Price Forecast For the 29th of November

Given 90 days horizon, the Naive Prediction forecasted value of Global Consumer Public on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0005, and the sum of the absolute errors of 0.66.
Please note that although there have been many attempts to predict Global 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 Global Consumer's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Global Consumer Stock Forecast Pattern

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Global Consumer Forecasted Value

In the context of forecasting Global Consumer'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. Global Consumer's downside and upside margins for the forecasting period are 0 and 128.12, respectively. We have considered Global Consumer'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
0.20
0.21
Expected Value
128.12
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Global Consumer stock data series using in forecasting. Note that when a statistical model is used to represent Global Consumer 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 Criteria110.443
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0109
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors0.6635
This model is not at all useful as a medium-long range forecasting tool of Global Consumer Public. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Global Consumer. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Global Consumer

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Global Consumer 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
0.010.2060.20
Details
Intrinsic
Valuation
LowRealHigh
0.010.1360.13
Details

Other Forecasting Options for Global Consumer

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

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

Global Consumer 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 Global Consumer'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 Global Consumer's current price.

Global Consumer Market Strength Events

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

Global Consumer Risk Indicators

The analysis of Global Consumer'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 Global Consumer's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting global 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 Global Stock

Global Consumer financial ratios help investors to determine whether Global 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 Global with respect to the benefits of owning Global Consumer security.