Vista Oil Stock Forecast - 4 Period Moving Average

VIST Stock  USD 53.27  0.04  0.08%   
The 4 Period Moving Average forecasted value of Vista Oil Gas on the next trading day is expected to be 53.28 with a mean absolute deviation of 1.25 and the sum of the absolute errors of 71.52. Vista Stock Forecast is based on your current time horizon.
  
At this time, Vista Oil's Inventory Turnover is comparatively stable compared to the past year. Payables Turnover is likely to gain to 4.38 in 2024, whereas Fixed Asset Turnover is likely to drop 0.42 in 2024. . Net Income Applicable To Common Shares is likely to gain to about 325.5 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 95.8 M in 2024.
A four-period moving average forecast model for Vista Oil Gas 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.

Vista Oil 4 Period Moving Average Price Forecast For the 4th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Vista Oil Gas on the next trading day is expected to be 53.28 with a mean absolute deviation of 1.25, mean absolute percentage error of 3.05, and the sum of the absolute errors of 71.52.
Please note that although there have been many attempts to predict Vista 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 Vista Oil's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Vista Oil Stock Forecast Pattern

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Vista Oil Forecasted Value

In the context of forecasting Vista Oil'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. Vista Oil's downside and upside margins for the forecasting period are 50.49 and 56.08, respectively. We have considered Vista Oil'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
53.27
53.28
Expected Value
56.08
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 Vista Oil stock data series using in forecasting. Note that when a statistical model is used to represent Vista Oil 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 Criteria111.8744
BiasArithmetic mean of the errors -0.3087
MADMean absolute deviation1.2548
MAPEMean absolute percentage error0.0252
SAESum of the absolute errors71.5225
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 Vista Oil. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Vista Oil Gas and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Vista Oil

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vista Oil Gas. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vista Oil's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
50.7153.5156.31
Details
Intrinsic
Valuation
LowRealHigh
41.6144.4158.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
48.6451.0553.45
Details
10 Analysts
Consensus
LowTargetHigh
37.4041.1045.62
Details

Other Forecasting Options for Vista Oil

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

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 Risk & Return  Correlation

Vista Oil Gas 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 Vista Oil'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 Vista Oil's current price.

Vista Oil Market Strength Events

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

Vista Oil Risk Indicators

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

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Additional Tools for Vista Stock Analysis

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