Mitrabahtera Segara Stock Forecast - 4 Period Moving Average

MBSS Stock  IDR 1,065  15.00  1.39%   
The 4 Period Moving Average forecasted value of Mitrabahtera Segara Sejati on the next trading day is expected to be 1,072 with a mean absolute deviation of 35.48 and the sum of the absolute errors of 2,022. Mitrabahtera Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Mitrabahtera Segara Sejati is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Mitrabahtera Segara 4 Period Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Mitrabahtera Segara Sejati on the next trading day is expected to be 1,072 with a mean absolute deviation of 35.48, mean absolute percentage error of 2,980, and the sum of the absolute errors of 2,022.
Please note that although there have been many attempts to predict Mitrabahtera 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 Mitrabahtera Segara's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mitrabahtera Segara Stock Forecast Pattern

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Mitrabahtera Segara Forecasted Value

In the context of forecasting Mitrabahtera Segara'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. Mitrabahtera Segara's downside and upside margins for the forecasting period are 1,070 and 1,075, respectively. We have considered Mitrabahtera Segara'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
1,065
1,072
Expected Value
1,075
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Mitrabahtera Segara stock data series using in forecasting. Note that when a statistical model is used to represent Mitrabahtera Segara 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 Criteria118.7587
BiasArithmetic mean of the errors -1.9298
MADMean absolute deviation35.4825
MAPEMean absolute percentage error0.0294
SAESum of the absolute errors2022.5
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Mitrabahtera Segara. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Mitrabahtera Segara Sejati and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Mitrabahtera Segara

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mitrabahtera Segara. 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
1,0621,0651,068
Details
Intrinsic
Valuation
LowRealHigh
954.03956.551,172
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,0561,0701,084
Details

Other Forecasting Options for Mitrabahtera Segara

For every potential investor in Mitrabahtera, whether a beginner or expert, Mitrabahtera Segara's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Mitrabahtera Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Mitrabahtera. Basic forecasting techniques help filter out the noise by identifying Mitrabahtera Segara's price trends.

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

Mitrabahtera Segara 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 Mitrabahtera Segara'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 Mitrabahtera Segara's current price.

Mitrabahtera Segara Market Strength Events

Market strength indicators help investors to evaluate how Mitrabahtera Segara stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Mitrabahtera Segara shares will generate the highest return on investment. By undertsting and applying Mitrabahtera Segara stock market strength indicators, traders can identify Mitrabahtera Segara Sejati entry and exit signals to maximize returns.

Mitrabahtera Segara Risk Indicators

The analysis of Mitrabahtera Segara'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 Mitrabahtera Segara's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mitrabahtera 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 Mitrabahtera Stock

Mitrabahtera Segara financial ratios help investors to determine whether Mitrabahtera 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 Mitrabahtera with respect to the benefits of owning Mitrabahtera Segara security.