Bank Cimb Stock Forecast - Naive Prediction

BNGA Stock  IDR 1,765  5.00  0.28%   
The Naive Prediction forecasted value of Bank Cimb Niaga on the next trading day is expected to be 1,771 with a mean absolute deviation of 22.46 and the sum of the absolute errors of 1,370. Bank Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Bank Cimb is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Bank Cimb Niaga 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 Cimb Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Bank Cimb Niaga on the next trading day is expected to be 1,771 with a mean absolute deviation of 22.46, mean absolute percentage error of 826.42, and the sum of the absolute errors of 1,370.
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 Cimb's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Cimb Stock Forecast Pattern

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Bank Cimb Forecasted Value

In the context of forecasting Bank Cimb'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 Cimb's downside and upside margins for the forecasting period are 1,770 and 1,772, respectively. We have considered Bank Cimb'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
1,765
1,771
Expected Value
1,772
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 Cimb stock data series using in forecasting. Note that when a statistical model is used to represent Bank Cimb 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 Criteria124.8276
BiasArithmetic mean of the errors None
MADMean absolute deviation22.4554
MAPEMean absolute percentage error0.0118
SAESum of the absolute errors1369.7769
This model is not at all useful as a medium-long range forecasting tool of Bank Cimb Niaga. 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 Cimb. 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 Cimb

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 Cimb Niaga. 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
1,7641,7651,766
Details
Intrinsic
Valuation
LowRealHigh
1,6761,6771,942
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,7411,8451,948
Details

Other Forecasting Options for Bank Cimb

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

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

Bank Cimb Niaga 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 Cimb'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 Cimb's current price.

Bank Cimb Market Strength Events

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

Bank Cimb Risk Indicators

The analysis of Bank Cimb'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 Cimb'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 Cimb 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 Cimb security.