Bank Artha Stock Forecast - Simple Exponential Smoothing

Bank Artha 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 Artha Graha are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Bank Artha Graha prices get older.

Bank Artha Simple Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Bank Artha Graha on the next trading day is expected to be 312.00 with a mean absolute deviation of 6.77, mean absolute percentage error of 215.62, and the sum of the absolute errors of 413.00.

Bank Artha Stock Forecast Pattern

Backtest Bank Artha

Bank Artha Price Prediction

Buy or Sell Advice

Bank Artha Forecasted Value

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 Artha stock data series using in forecasting. Note that when a statistical model is used to represent Bank Artha 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. This simple exponential smoothing model begins by setting Bank Artha Graha forecast for the second period equal to the observation of the first period. In other words, recent Bank Artha observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Bank Artha

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 Artha Graha. 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 Low Estimated High 302.53 312.00 321.47 Details

Intrinsic Valuation Low Real High 208.25 217.72 343.20 Details

Bollinger Band Projection (param) Low Middle High 59.21 170.00 280.79 Details

Other Forecasting Options for Bank Artha

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

Bank Artha Related Equities

Risk & Return

Correlation

Bank Artha Graha 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 Artha'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 Artha's current price.

Bank Artha Market Strength Events

Bank Artha Risk Indicators

Other Information on Investing in Bank Stock