Chandra Asri Pink Sheet Forecast - Polynomial Regression

PTCAY Stock  USD 62.61  0.00  0.00%   
The Polynomial Regression forecasted value of Chandra Asri Petrochemical on the next trading day is expected to be 64.26 with a mean absolute deviation of 1.21 and the sum of the absolute errors of 73.99. Chandra Pink Sheet Forecast is based on your current time horizon.
  
Chandra Asri polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Chandra Asri Petrochemical as well as the accuracy indicators are determined from the period prices.

Chandra Asri Polynomial Regression Price Forecast For the 5th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Chandra Asri Petrochemical on the next trading day is expected to be 64.26 with a mean absolute deviation of 1.21, mean absolute percentage error of 7.96, and the sum of the absolute errors of 73.99.
Please note that although there have been many attempts to predict Chandra Pink Sheet 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 Chandra Asri's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chandra Asri Pink Sheet Forecast Pattern

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Chandra Asri Forecasted Value

In the context of forecasting Chandra Asri's Pink Sheet 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. Chandra Asri's downside and upside margins for the forecasting period are 55.80 and 72.72, respectively. We have considered Chandra Asri'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
62.61
64.26
Expected Value
72.72
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Chandra Asri pink sheet data series using in forecasting. Note that when a statistical model is used to represent Chandra Asri pink sheet, 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 Criteria120.1855
BiasArithmetic mean of the errors None
MADMean absolute deviation1.2129
MAPEMean absolute percentage error0.0228
SAESum of the absolute errors73.9878
A single variable polynomial regression model attempts to put a curve through the Chandra Asri historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Chandra Asri

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chandra Asri Petroch. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
53.7062.1670.62
Details
Intrinsic
Valuation
LowRealHigh
57.8666.3274.78
Details
Bollinger
Band Projection (param)
LowMiddleHigh
62.6162.6162.61
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Chandra Asri. Your research has to be compared to or analyzed against Chandra Asri's peers to derive any actionable benefits. When done correctly, Chandra Asri's 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 Chandra Asri Petroch.

Other Forecasting Options for Chandra Asri

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

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

Chandra Asri Petroch Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Chandra Asri'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 Chandra Asri's current price.

Chandra Asri Market Strength Events

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

Chandra Asri Risk Indicators

The analysis of Chandra Asri'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 Chandra Asri's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting chandra pink sheet 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Chandra Pink Sheet Analysis

When running Chandra Asri's price analysis, check to measure Chandra Asri's 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 Chandra Asri is operating at the current time. Most of Chandra Asri's value examination focuses on studying past and present price action to predict the probability of Chandra Asri's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Chandra Asri's price. Additionally, you may evaluate how the addition of Chandra Asri to your portfolios can decrease your overall portfolio volatility.