Bumi Serpong Stock Forecast - 4 Period Moving Average

BSDE Stock  IDR 985.00  20.00  2.07%   
The 4 Period Moving Average forecasted value of Bumi Serpong Damai on the next trading day is expected to be 983.75 with a mean absolute deviation of 29.41 and the sum of the absolute errors of 1,676. Bumi Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Bumi Serpong Damai 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.

Bumi Serpong 4 Period Moving Average Price Forecast For the 5th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Bumi Serpong Damai on the next trading day is expected to be 983.75 with a mean absolute deviation of 29.41, mean absolute percentage error of 1,444, and the sum of the absolute errors of 1,676.
Please note that although there have been many attempts to predict Bumi 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 Bumi Serpong's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bumi Serpong Stock Forecast Pattern

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Bumi Serpong Forecasted Value

In the context of forecasting Bumi Serpong'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. Bumi Serpong's downside and upside margins for the forecasting period are 981.40 and 986.10, respectively. We have considered Bumi Serpong'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
985.00
981.40
Downside
983.75
Expected Value
986.10
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 Bumi Serpong stock data series using in forecasting. Note that when a statistical model is used to represent Bumi Serpong 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 Criteria118.0339
BiasArithmetic mean of the errors 11.9518
MADMean absolute deviation29.4079
MAPEMean absolute percentage error0.0257
SAESum of the absolute errors1676.25
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 Bumi Serpong. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Bumi Serpong Damai and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Bumi Serpong

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bumi Serpong Damai. 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
982.65985.00987.35
Details
Intrinsic
Valuation
LowRealHigh
889.10891.451,084
Details
Bollinger
Band Projection (param)
LowMiddleHigh
997.301,0151,032
Details

Other Forecasting Options for Bumi Serpong

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

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

Bumi Serpong Damai 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 Bumi Serpong'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 Bumi Serpong's current price.

Bumi Serpong Market Strength Events

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

Bumi Serpong Risk Indicators

The analysis of Bumi Serpong'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 Bumi Serpong's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bumi 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 Bumi Stock

Bumi Serpong financial ratios help investors to determine whether Bumi 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 Bumi with respect to the benefits of owning Bumi Serpong security.