Bank Amar Stock Forecast - Triple Exponential Smoothing

AMAR Stock  IDR 193.00  3.00  1.53%   
The Triple Exponential Smoothing forecasted value of Bank Amar Indonesia on the next trading day is expected to be 192.64 with a mean absolute deviation of 1.99 and the sum of the absolute errors of 117.39. Bank Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Bank Amar - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Bank Amar prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Bank Amar price movement. However, neither of these exponential smoothing models address any seasonality of Bank Amar Indonesia.

Bank Amar Triple Exponential Smoothing Price Forecast For the 3rd of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Bank Amar Indonesia on the next trading day is expected to be 192.64 with a mean absolute deviation of 1.99, mean absolute percentage error of 7.21, and the sum of the absolute errors of 117.39.
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 Amar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Amar Stock Forecast Pattern

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Bank Amar Forecasted Value

In the context of forecasting Bank Amar'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 Amar's downside and upside margins for the forecasting period are 191.34 and 193.95, respectively. We have considered Bank Amar'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
193.00
191.34
Downside
192.64
Expected Value
193.95
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Bank Amar stock data series using in forecasting. Note that when a statistical model is used to represent Bank Amar 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 CriteriaHuge
BiasArithmetic mean of the errors 0.4293
MADMean absolute deviation1.9897
MAPEMean absolute percentage error0.0095
SAESum of the absolute errors117.3923
As with simple exponential smoothing, in triple exponential smoothing models past Bank Amar observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Bank Amar Indonesia observations.

Predictive Modules for Bank Amar

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 Amar 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
191.70193.00194.30
Details
Intrinsic
Valuation
LowRealHigh
167.33168.63212.30
Details
Bollinger
Band Projection (param)
LowMiddleHigh
187.96202.75217.54
Details

Other Forecasting Options for Bank Amar

For every potential investor in Bank, whether a beginner or expert, Bank Amar'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 Amar's price trends.

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

Bank Amar 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 Amar'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 Amar's current price.

Bank Amar Market Strength Events

Market strength indicators help investors to evaluate how Bank Amar 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 Amar shares will generate the highest return on investment. By undertsting and applying Bank Amar stock market strength indicators, traders can identify Bank Amar Indonesia entry and exit signals to maximize returns.

Bank Amar Risk Indicators

The analysis of Bank Amar'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 Amar'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 Amar 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 Amar security.