VGS Stock Forecast - 4 Period Moving Average

A four-period moving average forecast model for VGS 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.

VGS 4 Period Moving Average Price Forecast For the 29th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of VGS on the next trading day is expected to be 31,800 with a mean absolute deviation of 621.05, mean absolute percentage error of 790,351, and the sum of the absolute errors of 35,400.

VGS Stock Forecast Pattern

VGS Forecasted Value

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 VGS stock data series using in forecasting. Note that when a statistical model is used to represent VGS 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. 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 VGS. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for VGS and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for VGS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VGS. 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.

Other Forecasting Options for VGS

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

VGS Related Equities

Risk & Return

Correlation

VGS 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 VGS'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 VGS's current price.

VGS Market Strength Events

VGS Risk Indicators

Pair Trading with VGS

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 VGS 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 VGS will appreciate offsetting losses from the drop in the long position's value.