VEON Stock Forecast - 4 Period Moving Average

VEON Stock  EUR 1.19  0.04  3.48%   
The 4 Period Moving Average forecasted value of VEON on the next trading day is expected to be 1.16 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.44. VEON Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for VEON 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.

VEON 4 Period Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of VEON on the next trading day is expected to be 1.16 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.44.
Please note that although there have been many attempts to predict VEON 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 VEON's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

VEON Stock Forecast Pattern

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VEON Forecasted Value

In the context of forecasting VEON'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. VEON's downside and upside margins for the forecasting period are 0.01 and 3.89, respectively. We have considered VEON'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
1.19
1.16
Expected Value
3.89
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 VEON stock data series using in forecasting. Note that when a statistical model is used to represent VEON 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 Criteria104.0763
BiasArithmetic mean of the errors -0.0083
MADMean absolute deviation0.0253
MAPEMean absolute percentage error0.0228
SAESum of the absolute errors1.44
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 VEON. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for VEON and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for VEON

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VEON. 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
0.061.193.92
Details
Intrinsic
Valuation
LowRealHigh
0.061.153.88
Details

Other Forecasting Options for VEON

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

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

VEON 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 VEON'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 VEON's current price.

VEON Market Strength Events

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

VEON Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for VEON Stock Analysis

When running VEON's price analysis, check to measure VEON'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 VEON is operating at the current time. Most of VEON's value examination focuses on studying past and present price action to predict the probability of VEON's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move VEON's price. Additionally, you may evaluate how the addition of VEON to your portfolios can decrease your overall portfolio volatility.