Bank Capital Stock Forecast - Naive Prediction

BACA Stock  IDR 131.00  1.00  0.76%   
The Naive Prediction forecasted value of Bank Capital Indonesia on the next trading day is expected to be 130.81 with a mean absolute deviation of 1.00 and the sum of the absolute errors of 61.82. Bank Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Bank Capital is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Bank Capital Indonesia value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Bank Capital Naive Prediction Price Forecast For the 13th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Bank Capital Indonesia on the next trading day is expected to be 130.81 with a mean absolute deviation of 1.00, mean absolute percentage error of 2.32, and the sum of the absolute errors of 61.82.
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 129.50 and 132.11, 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
129.50
Downside
130.81
Expected Value
132.11
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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 Criteria120.7884
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9972
MAPEMean absolute percentage error0.0075
SAESum of the absolute errors61.8247
This model is not at all useful as a medium-long range forecasting tool of Bank Capital Indonesia. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Bank Capital. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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
110.21111.51144.10
Details
Bollinger
Band Projection (param)
LowMiddleHigh
128.58131.21133.85
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.