Vinci S Stock Forecast - 4 Period Moving Average

SQU Stock  EUR 99.66  0.34  0.34%   
The 4 Period Moving Average forecasted value of Vinci S A on the next trading day is expected to be 99.22 with a mean absolute deviation of 1.34 and the sum of the absolute errors of 76.27. Vinci Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Vinci S's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Vinci S A 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.

Vinci S 4 Period Moving Average Price Forecast For the 3rd of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Vinci S A on the next trading day is expected to be 99.22 with a mean absolute deviation of 1.34, mean absolute percentage error of 3.03, and the sum of the absolute errors of 76.27.
Please note that although there have been many attempts to predict Vinci 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 Vinci S's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Vinci S Stock Forecast Pattern

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Vinci S Forecasted Value

In the context of forecasting Vinci S'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. Vinci S's downside and upside margins for the forecasting period are 97.56 and 100.87, respectively. We have considered Vinci S'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
99.66
99.22
Expected Value
100.87
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 Vinci S stock data series using in forecasting. Note that when a statistical model is used to represent Vinci S 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 Criteria111.8684
BiasArithmetic mean of the errors 0.3761
MADMean absolute deviation1.338
MAPEMean absolute percentage error0.0129
SAESum of the absolute errors76.2675
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 Vinci S. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Vinci S A and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Vinci S

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vinci S A. 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
98.0199.66101.31
Details
Intrinsic
Valuation
LowRealHigh
83.7785.42109.63
Details
Bollinger
Band Projection (param)
LowMiddleHigh
97.93100.71103.50
Details

Other Forecasting Options for Vinci S

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

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

Vinci S A 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 Vinci S'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 Vinci S's current price.

Vinci S Market Strength Events

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

Vinci S Risk Indicators

The analysis of Vinci S'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 Vinci S's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vinci 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 Vinci Stock

Vinci S financial ratios help investors to determine whether Vinci 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 Vinci with respect to the benefits of owning Vinci S security.