Bank Maspion Stock Forecast - Naive Prediction

BMAS Stock  IDR 600.00  5.00  0.84%   
The Naive Prediction forecasted value of Bank Maspion Indonesia on the next trading day is expected to be 647.83 with a mean absolute deviation of 22.06 and the sum of the absolute errors of 1,346. Bank Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Bank Maspion is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Bank Maspion 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 Maspion Naive Prediction Price Forecast For the 18th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Bank Maspion Indonesia on the next trading day is expected to be 647.83 with a mean absolute deviation of 22.06, mean absolute percentage error of 732.08, and the sum of the absolute errors of 1,346.
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 Maspion's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Maspion Stock Forecast Pattern

Backtest Bank MaspionBank Maspion Price PredictionBuy or Sell Advice 

Bank Maspion Forecasted Value

In the context of forecasting Bank Maspion'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 Maspion's downside and upside margins for the forecasting period are 645.02 and 650.65, respectively. We have considered Bank Maspion'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
600.00
645.02
Downside
647.83
Expected Value
650.65
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 Maspion stock data series using in forecasting. Note that when a statistical model is used to represent Bank Maspion 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 Criteria124.7064
BiasArithmetic mean of the errors None
MADMean absolute deviation22.0618
MAPEMean absolute percentage error0.0311
SAESum of the absolute errors1345.7715
This model is not at all useful as a medium-long range forecasting tool of Bank Maspion 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 Maspion. 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 Maspion

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 Maspion 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
597.18600.00602.82
Details
Intrinsic
Valuation
LowRealHigh
548.43551.25660.00
Details

Other Forecasting Options for Bank Maspion

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

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

Bank Maspion 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 Maspion'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 Maspion's current price.

Bank Maspion Market Strength Events

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

Bank Maspion Risk Indicators

The analysis of Bank Maspion'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 Maspion'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 Maspion 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 Maspion security.