Agro Yasa Stock Forecast - Double Exponential Smoothing

AYLS Stock  IDR 60.00  4.00  6.25%   
The Double Exponential Smoothing forecasted value of Agro Yasa Lestari on the next trading day is expected to be 60.00 with a mean absolute deviation of 3.35 and the sum of the absolute errors of 201.00. Agro 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 Agro Yasa works best with periods where there are trends or seasonality.

Agro Yasa Double Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Agro Yasa Lestari on the next trading day is expected to be 60.00 with a mean absolute deviation of 3.35, mean absolute percentage error of 29.55, and the sum of the absolute errors of 201.00.
Please note that although there have been many attempts to predict Agro 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 Agro Yasa's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Agro Yasa Stock Forecast Pattern

Backtest Agro YasaAgro Yasa Price PredictionBuy or Sell Advice 

Agro Yasa Forecasted Value

In the context of forecasting Agro Yasa'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. Agro Yasa's downside and upside margins for the forecasting period are 52.07 and 67.93, respectively. We have considered Agro Yasa'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
60.00
60.00
Expected Value
67.93
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 Agro Yasa stock data series using in forecasting. Note that when a statistical model is used to represent Agro Yasa 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 -0.15
MADMean absolute deviation3.35
MAPEMean absolute percentage error0.0448
SAESum of the absolute errors201.0
When Agro Yasa Lestari 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 Agro Yasa Lestari 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 Agro Yasa observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Agro Yasa

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Agro Yasa Lestari. 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
56.0564.0071.95
Details
Intrinsic
Valuation
LowRealHigh
50.8558.8066.75
Details

Other Forecasting Options for Agro Yasa

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

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

Agro Yasa Lestari 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 Agro Yasa'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 Agro Yasa's current price.

Agro Yasa Market Strength Events

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

Agro Yasa Risk Indicators

The analysis of Agro Yasa'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 Agro Yasa's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting agro 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 Agro Stock

Agro Yasa financial ratios help investors to determine whether Agro 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 Agro with respect to the benefits of owning Agro Yasa security.