GS Engineering Stock Forecast - Simple Exponential Smoothing

006360 Stock   18,500  50.00  0.27%   
The Simple Exponential Smoothing forecasted value of GS Engineering Construction on the next trading day is expected to be 18,496 with a mean absolute deviation of 326.01 and the sum of the absolute errors of 19,561. 006360 Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast GS Engineering stock prices and determine the direction of GS Engineering Construction's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of GS Engineering's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
GS 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 GS Engineering Construction are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as GS Engineering Const prices get older.

GS Engineering Simple Exponential Smoothing Price Forecast For the 26th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of GS Engineering Construction on the next trading day is expected to be 18,496 with a mean absolute deviation of 326.01, mean absolute percentage error of 169,585, and the sum of the absolute errors of 19,561.
Please note that although there have been many attempts to predict 006360 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 GS Engineering's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GS Engineering Stock Forecast Pattern

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GS Engineering Forecasted Value

In the context of forecasting GS 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. GS Engineering's downside and upside margins for the forecasting period are 18,494 and 18,498, respectively. We have considered GS 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
18,500
18,494
Downside
18,496
Expected Value
18,498
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 GS Engineering stock data series using in forecasting. Note that when a statistical model is used to represent GS 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 Criteria128.3137
BiasArithmetic mean of the errors 38.9183
MADMean absolute deviation326.0112
MAPEMean absolute percentage error0.0175
SAESum of the absolute errors19560.6711
This simple exponential smoothing model begins by setting GS Engineering Construction forecast for the second period equal to the observation of the first period. In other words, recent GS Engineering observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for GS 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 GS Engineering Const. 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
18,49818,50018,502
Details
Intrinsic
Valuation
LowRealHigh
15,84715,84920,350
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18,43618,48318,530
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as GS Engineering. Your research has to be compared to or analyzed against GS Engineering's peers to derive any actionable benefits. When done correctly, GS Engineering's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in GS Engineering Const.

Other Forecasting Options for GS Engineering

For every potential investor in 006360, whether a beginner or expert, GS Engineering's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 006360 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 006360. Basic forecasting techniques help filter out the noise by identifying GS Engineering's price trends.

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

GS Engineering Const 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 GS 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 GS Engineering's current price.

GS Engineering Market Strength Events

Market strength indicators help investors to evaluate how GS 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 GS Engineering shares will generate the highest return on investment. By undertsting and applying GS Engineering stock market strength indicators, traders can identify GS Engineering Construction entry and exit signals to maximize returns.

GS Engineering Risk Indicators

The analysis of GS 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 GS Engineering's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 006360 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.

Pair Trading with GS Engineering

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if GS Engineering position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in GS Engineering will appreciate offsetting losses from the drop in the long position's value.

Moving together with 006360 Stock

  0.68950130 Access BioPairCorr
  0.76222800 SIMMTECHPairCorr
The ability to find closely correlated positions to GS Engineering could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GS Engineering when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back GS Engineering - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling GS Engineering Construction to buy it.
The correlation of GS Engineering is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as GS Engineering moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GS Engineering Const moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for GS Engineering can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in 006360 Stock

GS Engineering financial ratios help investors to determine whether 006360 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 006360 with respect to the benefits of owning GS Engineering security.