Sawit Sumbermas Stock Forecast - Naive Prediction

SSMS Stock  IDR 1,060  45.00  4.07%   
The Naive Prediction forecasted value of Sawit Sumbermas Sarana on the next trading day is expected to be 1,133 with a mean absolute deviation of  31.29  and the sum of the absolute errors of 1,940. Sawit Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sawit Sumbermas stock prices and determine the direction of Sawit Sumbermas Sarana's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sawit Sumbermas' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Sawit Sumbermas to cross-verify your projections.
  
Most investors in Sawit Sumbermas cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Sawit Sumbermas' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Sawit Sumbermas' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Sawit Sumbermas is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Sawit Sumbermas Sarana 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.

Sawit Sumbermas Naive Prediction Price Forecast For the 2nd of May

Given 90 days horizon, the Naive Prediction forecasted value of Sawit Sumbermas Sarana on the next trading day is expected to be 1,133 with a mean absolute deviation of 31.29, mean absolute percentage error of 1,586, and the sum of the absolute errors of 1,940.
Please note that although there have been many attempts to predict Sawit 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 Sawit Sumbermas' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sawit Sumbermas Stock Forecast Pattern

Backtest Sawit SumbermasSawit Sumbermas Price PredictionBuy or Sell Advice 

Sawit Sumbermas Forecasted Value

In the context of forecasting Sawit Sumbermas' 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. Sawit Sumbermas' downside and upside margins for the forecasting period are 1,130 and 1,137, respectively. We have considered Sawit Sumbermas' 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
1,060
1,133
Expected Value
1,137
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 Sawit Sumbermas stock data series using in forecasting. Note that when a statistical model is used to represent Sawit Sumbermas 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 Criteria127.3173
BiasArithmetic mean of the errors None
MADMean absolute deviation31.2879
MAPEMean absolute percentage error0.0285
SAESum of the absolute errors1939.8491
This model is not at all useful as a medium-long range forecasting tool of Sawit Sumbermas Sarana. 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 Sawit Sumbermas. 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 Sawit Sumbermas

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sawit Sumbermas Sarana. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sawit Sumbermas' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
1,0571,0601,063
Details
Intrinsic
Valuation
LowRealHigh
961.21964.541,166
Details
Bollinger
Band Projection (param)
LowMiddleHigh
935.661,0301,092
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sawit Sumbermas. Your research has to be compared to or analyzed against Sawit Sumbermas' peers to derive any actionable benefits. When done correctly, Sawit Sumbermas' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Sawit Sumbermas Sarana.

Other Forecasting Options for Sawit Sumbermas

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

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

Sawit Sumbermas Sarana 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 Sawit Sumbermas' 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 Sawit Sumbermas' current price.

Sawit Sumbermas Market Strength Events

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

Sawit Sumbermas Risk Indicators

The analysis of Sawit Sumbermas' 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 Sawit Sumbermas' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sawit 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.

Currently Active Assets on Macroaxis

Check out Historical Fundamental Analysis of Sawit Sumbermas to cross-verify your projections.
You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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When running Sawit Sumbermas' price analysis, check to measure Sawit Sumbermas' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sawit Sumbermas is operating at the current time. Most of Sawit Sumbermas' value examination focuses on studying past and present price action to predict the probability of Sawit Sumbermas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sawit Sumbermas' price. Additionally, you may evaluate how the addition of Sawit Sumbermas to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Sawit Sumbermas' value and its price as these two are different measures arrived at by different means. Investors typically determine if Sawit Sumbermas is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sawit Sumbermas' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.