PT Sarimelati Stock Forecast - Double Exponential Smoothing

PZZA Stock  IDR 131.00  4.00  2.96%   
The Double Exponential Smoothing forecasted value of PT Sarimelati Kencana on the next trading day is expected to be 127.72 with a mean absolute deviation of 2.98 and the sum of the absolute errors of 175.55. PZZA Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for PT Sarimelati works best with periods where there are trends or seasonality.

PT Sarimelati Double Exponential Smoothing Price Forecast For the 28th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of PT Sarimelati Kencana on the next trading day is expected to be 127.72 with a mean absolute deviation of 2.98, mean absolute percentage error of 18.72, and the sum of the absolute errors of 175.55.
Please note that although there have been many attempts to predict PZZA 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 PT Sarimelati's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PT Sarimelati Stock Forecast Pattern

Backtest PT SarimelatiPT Sarimelati Price PredictionBuy or Sell Advice 

PT Sarimelati Forecasted Value

In the context of forecasting PT Sarimelati'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. PT Sarimelati's downside and upside margins for the forecasting period are 125.27 and 130.17, respectively. We have considered PT Sarimelati'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
131.00
125.27
Downside
127.72
Expected Value
130.17
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of PT Sarimelati stock data series using in forecasting. Note that when a statistical model is used to represent PT Sarimelati 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 CriteriaHuge
BiasArithmetic mean of the errors 0.174
MADMean absolute deviation2.9755
MAPEMean absolute percentage error0.0166
SAESum of the absolute errors175.5541
When PT Sarimelati Kencana prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any PT Sarimelati Kencana trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent PT Sarimelati observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for PT Sarimelati

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PT Sarimelati Kencana. 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
128.55131.00133.45
Details
Intrinsic
Valuation
LowRealHigh
126.70129.15131.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
113.32170.88228.43
Details

Other Forecasting Options for PT Sarimelati

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

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

PT Sarimelati Kencana 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 PT Sarimelati'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 PT Sarimelati's current price.

PT Sarimelati Market Strength Events

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

PT Sarimelati Risk Indicators

The analysis of PT Sarimelati'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 PT Sarimelati's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pzza 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in PZZA Stock

PT Sarimelati financial ratios help investors to determine whether PZZA 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 PZZA with respect to the benefits of owning PT Sarimelati security.