Bank Rakyat Stock Forecast - 8 Period Moving Average

AGRO Stock  IDR 238.00  2.00  0.83%   
The 8 Period Moving Average forecasted value of Bank Rakyat Indonesia on the next trading day is expected to be 238.50 with a mean absolute deviation of 7.45 and the sum of the absolute errors of 402.50. Bank Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Bank Rakyat is based on an artificially constructed time series of Bank Rakyat daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Bank Rakyat 8 Period Moving Average Price Forecast For the 14th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of Bank Rakyat Indonesia on the next trading day is expected to be 238.50 with a mean absolute deviation of 7.45, mean absolute percentage error of 77.97, and the sum of the absolute errors of 402.50.
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 Rakyat's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Rakyat Stock Forecast Pattern

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Bank Rakyat Forecasted Value

In the context of forecasting Bank Rakyat'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 Rakyat's downside and upside margins for the forecasting period are 236.25 and 240.75, respectively. We have considered Bank Rakyat'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
238.00
236.25
Downside
238.50
Expected Value
240.75
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Bank Rakyat stock data series using in forecasting. Note that when a statistical model is used to represent Bank Rakyat 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 Criteria109.6017
BiasArithmetic mean of the errors 2.7222
MADMean absolute deviation7.4537
MAPEMean absolute percentage error0.0296
SAESum of the absolute errors402.5
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Bank Rakyat Indonesia 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Bank Rakyat

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 Rakyat 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
235.75238.00240.25
Details
Intrinsic
Valuation
LowRealHigh
205.23207.48261.80
Details
Bollinger
Band Projection (param)
LowMiddleHigh
213.61250.62287.63
Details

Other Forecasting Options for Bank Rakyat

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

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

Bank Rakyat 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 Rakyat'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 Rakyat's current price.

Bank Rakyat Market Strength Events

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

Bank Rakyat Risk Indicators

The analysis of Bank Rakyat'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 Rakyat'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 Rakyat 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 Rakyat security.