Nestle SA Pink Sheet Forecast - 4 Period Moving Average

NSRGF Stock  USD 83.44  0.60  0.72%   
The 4 Period Moving Average forecasted value of Nestle SA on the next trading day is expected to be 83.37 with a mean absolute deviation of 1.05 and the sum of the absolute errors of 61.10. Nestle Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Nestle SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Nestle SA 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.

Nestle SA 4 Period Moving Average Price Forecast For the 19th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Nestle SA on the next trading day is expected to be 83.37 with a mean absolute deviation of 1.05, mean absolute percentage error of 1.79, and the sum of the absolute errors of 61.10.
Please note that although there have been many attempts to predict Nestle Pink Sheet 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 Nestle SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Nestle SA Pink Sheet Forecast Pattern

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Nestle SA Forecasted Value

In the context of forecasting Nestle SA's Pink Sheet 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. Nestle SA's downside and upside margins for the forecasting period are 82.30 and 84.44, respectively. We have considered Nestle 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
83.44
83.37
Expected Value
84.44
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 Nestle SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Nestle SA pink sheet, 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 Criteria113.1814
BiasArithmetic mean of the errors 0.7001
MADMean absolute deviation1.0535
MAPEMean absolute percentage error0.0115
SAESum of the absolute errors61.1025
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 Nestle SA. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Nestle SA and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Nestle 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 Nestle SA. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
82.3783.4484.51
Details
Intrinsic
Valuation
LowRealHigh
70.0271.0991.78
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Nestle SA. Your research has to be compared to or analyzed against Nestle SA's peers to derive any actionable benefits. When done correctly, Nestle SA'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 Nestle SA.

Other Forecasting Options for Nestle SA

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

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 Risk & Return  Correlation

Nestle SA Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Nestle 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 Nestle SA's current price.

Nestle SA Market Strength Events

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

Nestle SA Risk Indicators

The analysis of Nestle 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 Nestle SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nestle pink sheet 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 Nestle Pink Sheet

Nestle SA financial ratios help investors to determine whether Nestle Pink Sheet 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 Nestle with respect to the benefits of owning Nestle SA security.