Air Asia Stock Forecast - 4 Period Moving Average

2630 Stock  TWD 30.30  0.20  0.66%   
The 4 Period Moving Average forecasted value of Air Asia Co on the next trading day is expected to be 30.35 with a mean absolute deviation of 0.58 and the sum of the absolute errors of 33.14. Air Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Air Asia Co 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.

Air Asia 4 Period Moving Average Price Forecast For the 2nd of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Air Asia Co on the next trading day is expected to be 30.35 with a mean absolute deviation of 0.58, mean absolute percentage error of 0.70, and the sum of the absolute errors of 33.14.
Please note that although there have been many attempts to predict Air 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 Air Asia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Air Asia Stock Forecast Pattern

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Air Asia Forecasted Value

In the context of forecasting Air Asia'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. Air Asia's downside and upside margins for the forecasting period are 28.56 and 32.14, respectively. We have considered Air Asia'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
30.30
30.35
Expected Value
32.14
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 Air Asia stock data series using in forecasting. Note that when a statistical model is used to represent Air Asia 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 Criteria110.4005
BiasArithmetic mean of the errors 0.0638
MADMean absolute deviation0.5814
MAPEMean absolute percentage error0.0177
SAESum of the absolute errors33.1375
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 Air Asia. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Air Asia Co and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Air Asia

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Air Asia. 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
28.5030.3032.10
Details
Intrinsic
Valuation
LowRealHigh
29.8131.6133.41
Details
Bollinger
Band Projection (param)
LowMiddleHigh
29.6030.4531.31
Details

Other Forecasting Options for Air Asia

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

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

Air Asia 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 Air Asia'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 Air Asia's current price.

Air Asia Market Strength Events

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

Air Asia Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Air Stock Analysis

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