Agung Podomoro Stock Forecast - Simple Regression

APLN Stock  IDR 108.00  2.00  1.82%   
The Simple Regression forecasted value of Agung Podomoro Land on the next trading day is expected to be 110.13 with a mean absolute deviation of 2.22 and the sum of the absolute errors of 137.60. Agung Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Agung Podomoro stock prices and determine the direction of Agung Podomoro Land's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Agung Podomoro's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Agung Podomoro to cross-verify your projections.
  
Most investors in Agung Podomoro 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 Agung Podomoro's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Agung Podomoro's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Agung Podomoro price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Agung Podomoro Simple Regression Price Forecast For the 8th of June

Given 90 days horizon, the Simple Regression forecasted value of Agung Podomoro Land on the next trading day is expected to be 110.13 with a mean absolute deviation of 2.22, mean absolute percentage error of 7.02, and the sum of the absolute errors of 137.60.
Please note that although there have been many attempts to predict Agung 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 Agung Podomoro's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Agung Podomoro Stock Forecast Pattern

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Agung Podomoro Forecasted Value

In the context of forecasting Agung Podomoro'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. Agung Podomoro's downside and upside margins for the forecasting period are 108.59 and 111.66, respectively. We have considered Agung Podomoro'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
108.00
108.59
Downside
110.13
Expected Value
111.66
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Agung Podomoro stock data series using in forecasting. Note that when a statistical model is used to represent Agung Podomoro 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 Criteria121.8968
BiasArithmetic mean of the errors None
MADMean absolute deviation2.2193
MAPEMean absolute percentage error0.0194
SAESum of the absolute errors137.5952
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Agung Podomoro Land historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Agung Podomoro

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Agung Podomoro Land. 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 Agung Podomoro's 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
106.46108.00109.54
Details
Intrinsic
Valuation
LowRealHigh
82.7084.24118.80
Details
Bollinger
Band Projection (param)
LowMiddleHigh
107.65112.58117.51
Details

Other Forecasting Options for Agung Podomoro

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

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

Agung Podomoro Land 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 Agung Podomoro'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 Agung Podomoro's current price.

Agung Podomoro Market Strength Events

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

Agung Podomoro Risk Indicators

The analysis of Agung Podomoro'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 Agung Podomoro's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting agung 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 Agung Stock

Agung Podomoro financial ratios help investors to determine whether Agung 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 Agung with respect to the benefits of owning Agung Podomoro security.