Bank Capital Stock Forecast - 20 Period Moving Average

BACA Stock  IDR 131.00  1.00  0.77%   
The 20 Period Moving Average forecasted value of Bank Capital Indonesia on the next trading day is expected to be 131.00 with a mean absolute deviation of 1.49 and the sum of the absolute errors of 60.95. Bank Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Bank Capital Indonesia is based on a synthetically constructed Bank Capitaldaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Bank Capital 20 Period Moving Average Price Forecast For the 4th of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Bank Capital Indonesia on the next trading day is expected to be 131.00 with a mean absolute deviation of 1.49, mean absolute percentage error of 4.89, and the sum of the absolute errors of 60.95.
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 Capital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Capital Stock Forecast Pattern

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Bank Capital Forecasted Value

In the context of forecasting Bank Capital'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 Capital's downside and upside margins for the forecasting period are 129.70 and 132.30, respectively. We have considered Bank Capital'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
131.00
129.70
Downside
131.00
Expected Value
132.30
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Bank Capital stock data series using in forecasting. Note that when a statistical model is used to represent Bank Capital 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 Criteria82.9394
BiasArithmetic mean of the errors -0.2134
MADMean absolute deviation1.4866
MAPEMean absolute percentage error0.0112
SAESum of the absolute errors60.95
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 Capital Indonesia 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Bank Capital

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 Capital 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
129.70131.00132.30
Details
Intrinsic
Valuation
LowRealHigh
117.90132.75134.05
Details
Bollinger
Band Projection (param)
LowMiddleHigh
129.85131.35132.84
Details

Other Forecasting Options for Bank Capital

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

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

Bank Capital 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 Capital'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 Capital's current price.

Bank Capital Market Strength Events

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

Bank Capital Risk Indicators

The analysis of Bank Capital'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 Capital'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 Capital 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 Capital security.