SGS SA Stock Forecast - Naive Prediction

SGSN Stock  CHF 90.70  1.50  1.68%   
The Naive Prediction forecasted value of SGS SA on the next trading day is expected to be 90.50 with a mean absolute deviation of 0.78 and the sum of the absolute errors of 47.87. SGS Stock Forecast is based on your current time horizon.
  
A naive forecasting model for SGS SA is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of SGS SA 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.

SGS SA Naive Prediction Price Forecast For the 12th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of SGS SA on the next trading day is expected to be 90.50 with a mean absolute deviation of 0.78, mean absolute percentage error of 1.06, and the sum of the absolute errors of 47.87.
Please note that although there have been many attempts to predict SGS 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 SGS SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SGS SA Stock Forecast Pattern

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SGS SA Forecasted Value

In the context of forecasting SGS SA'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. SGS SA's downside and upside margins for the forecasting period are 89.29 and 91.70, respectively. We have considered SGS SA'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
90.70
90.50
Expected Value
91.70
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 SGS SA stock data series using in forecasting. Note that when a statistical model is used to represent SGS SA 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 Criteria118.1659
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7847
MAPEMean absolute percentage error0.0085
SAESum of the absolute errors47.8658
This model is not at all useful as a medium-long range forecasting tool of SGS SA. 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 SGS SA. 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 SGS SA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SGS SA. 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
88.0189.2090.39
Details
Intrinsic
Valuation
LowRealHigh
74.8176.0098.12
Details
Bollinger
Band Projection (param)
LowMiddleHigh
87.9788.6989.42
Details

Other Forecasting Options for SGS SA

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

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

SGS SA 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 SGS SA'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 SGS SA's current price.

SGS SA Market Strength Events

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

SGS SA Risk Indicators

The analysis of SGS SA'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 SGS SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sgs 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for SGS Stock Analysis

When running SGS SA's price analysis, check to measure SGS SA's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SGS SA is operating at the current time. Most of SGS SA's value examination focuses on studying past and present price action to predict the probability of SGS SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SGS SA's price. Additionally, you may evaluate how the addition of SGS SA to your portfolios can decrease your overall portfolio volatility.