Qnb Finansbank Stock Forecast - 4 Period Moving Average

QNBTR Stock   280.75  6.75  2.46%   
The 4 Period Moving Average forecasted value of Qnb Finansbank AS on the next trading day is expected to be 276.75 with a mean absolute deviation of 4.96 and the sum of the absolute errors of 282.81. Investors can use prediction functions to forecast Qnb Finansbank's stock prices and determine the direction of Qnb Finansbank AS's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Qnb Finansbank's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.
  
A four-period moving average forecast model for Qnb Finansbank AS 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.

Qnb Finansbank 4 Period Moving Average Price Forecast For the 13th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Qnb Finansbank AS on the next trading day is expected to be 276.75 with a mean absolute deviation of 4.96, mean absolute percentage error of 47.04, and the sum of the absolute errors of 282.81.
Please note that although there have been many attempts to predict Qnb 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 Qnb Finansbank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Qnb Finansbank Stock Forecast Pattern

Qnb Finansbank Forecasted Value

In the context of forecasting Qnb Finansbank'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. Qnb Finansbank's downside and upside margins for the forecasting period are 274.67 and 278.83, respectively. We have considered Qnb Finansbank'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
280.75
274.67
Downside
276.75
Expected Value
278.83
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 Qnb Finansbank stock data series using in forecasting. Note that when a statistical model is used to represent Qnb Finansbank 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 Criteria114.6099
BiasArithmetic mean of the errors 1.6568
MADMean absolute deviation4.9616
MAPEMean absolute percentage error0.0174
SAESum of the absolute errors282.8125
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 Qnb Finansbank. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Qnb Finansbank AS and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Qnb Finansbank

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

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

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

Qnb Finansbank AS 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 Qnb Finansbank'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 Qnb Finansbank's current price.

Qnb Finansbank Market Strength Events

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

Qnb Finansbank Risk Indicators

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