Capital Engineering Stock Forecast - Simple Exponential Smoothing

CEN Stock  THB 1.99  0.01  0.50%   
The Simple Exponential Smoothing forecasted value of Capital Engineering Network on the next trading day is expected to be 2.01 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.11. Capital Stock Forecast is based on your current time horizon.
  
Capital Engineering simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Capital Engineering Network are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Capital Engineering prices get older.

Capital Engineering Simple Exponential Smoothing Price Forecast For the 29th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Capital Engineering Network on the next trading day is expected to be 2.01 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.08, and the sum of the absolute errors of 4.11.
Please note that although there have been many attempts to predict Capital 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 Capital Engineering's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Capital Engineering Stock Forecast Pattern

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Capital Engineering Forecasted Value

In the context of forecasting Capital Engineering'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. Capital Engineering's downside and upside margins for the forecasting period are 0.02 and 129.86, respectively. We have considered Capital Engineering'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
1.99
2.01
Expected Value
129.86
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Capital Engineering stock data series using in forecasting. Note that when a statistical model is used to represent Capital Engineering 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 Criteria115.598
BiasArithmetic mean of the errors 0.0505
MADMean absolute deviation0.0674
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors4.1096
This simple exponential smoothing model begins by setting Capital Engineering Network forecast for the second period equal to the observation of the first period. In other words, recent Capital Engineering observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Capital Engineering

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Capital Engineering. 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
0.102.00202.00
Details
Intrinsic
Valuation
LowRealHigh
0.081.53201.53
Details

Other Forecasting Options for Capital Engineering

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

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

Capital Engineering 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 Capital Engineering'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 Capital Engineering's current price.

Capital Engineering Market Strength Events

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

Capital Engineering Risk Indicators

The analysis of Capital Engineering'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 Capital Engineering's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting capital 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 Capital Stock

Capital Engineering financial ratios help investors to determine whether Capital 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 Capital with respect to the benefits of owning Capital Engineering security.