Bank Qnb Stock Forecast - Simple Exponential Smoothing

BKSW Stock  IDR 81.00  2.00  2.53%   
The Simple Exponential Smoothing forecasted value of Bank Qnb Indonesia on the next trading day is expected to be 80.87 with a mean absolute deviation of 2.12 and the sum of the absolute errors of 129.49. Bank Stock Forecast is based on your current time horizon.
  
Bank Qnb simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Bank Qnb Indonesia are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Bank Qnb Indonesia prices get older.

Bank Qnb Simple Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Bank Qnb Indonesia on the next trading day is expected to be 80.87 with a mean absolute deviation of 2.12, mean absolute percentage error of 18.47, and the sum of the absolute errors of 129.49.
Please note that although there have been many attempts to predict Bank 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 Bank Qnb's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Qnb Stock Forecast Pattern

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Bank Qnb Forecasted Value

In the context of forecasting Bank Qnb'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. Bank Qnb's downside and upside margins for the forecasting period are 74.70 and 87.04, respectively. We have considered Bank Qnb'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
81.00
80.87
Expected Value
87.04
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Bank Qnb stock data series using in forecasting. Note that when a statistical model is used to represent Bank Qnb 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 Criteria121.0268
BiasArithmetic mean of the errors -0.4755
MADMean absolute deviation2.1228
MAPEMean absolute percentage error0.0269
SAESum of the absolute errors129.4892
This simple exponential smoothing model begins by setting Bank Qnb Indonesia forecast for the second period equal to the observation of the first period. In other words, recent Bank Qnb observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Bank Qnb

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank Qnb Indonesia. 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
74.8881.0087.12
Details
Intrinsic
Valuation
LowRealHigh
60.0366.1589.10
Details
Bollinger
Band Projection (param)
LowMiddleHigh
69.2482.0094.76
Details

Other Forecasting Options for Bank Qnb

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

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

Bank Qnb Indonesia 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 Bank Qnb'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 Bank Qnb's current price.

Bank Qnb Market Strength Events

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

Bank Qnb Risk Indicators

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

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Other Information on Investing in Bank Stock

Bank Qnb financial ratios help investors to determine whether Bank Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bank with respect to the benefits of owning Bank Qnb security.