Picomat Plastic Stock Forecast - Polynomial Regression

PCH Stock   12,600  100.00  0.80%   
The Polynomial Regression forecasted value of Picomat Plastic JSC on the next trading day is expected to be 12,041 with a mean absolute deviation of 234.67 and the sum of the absolute errors of 14,315. Picomat Stock Forecast is based on your current time horizon.
  
Picomat Plastic polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Picomat Plastic JSC as well as the accuracy indicators are determined from the period prices.

Picomat Plastic Polynomial Regression Price Forecast For the 24th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Picomat Plastic JSC on the next trading day is expected to be 12,041 with a mean absolute deviation of 234.67, mean absolute percentage error of 78,529, and the sum of the absolute errors of 14,315.
Please note that although there have been many attempts to predict Picomat 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 Picomat Plastic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Picomat Plastic Stock Forecast Pattern

Picomat Plastic Forecasted Value

In the context of forecasting Picomat Plastic'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. Picomat Plastic's downside and upside margins for the forecasting period are 12,040 and 12,043, respectively. We have considered Picomat Plastic'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
12,600
12,040
Downside
12,041
Expected Value
12,043
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 Picomat Plastic stock data series using in forecasting. Note that when a statistical model is used to represent Picomat Plastic 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 Criteria129.3817
BiasArithmetic mean of the errors None
MADMean absolute deviation234.67
MAPEMean absolute percentage error0.0192
SAESum of the absolute errors14314.8721
A single variable polynomial regression model attempts to put a curve through the Picomat Plastic 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 Picomat Plastic

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Picomat Plastic JSC. 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
12,59912,60012,601
Details
Intrinsic
Valuation
LowRealHigh
11,34014,66214,663
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12,47212,56712,661
Details

Other Forecasting Options for Picomat Plastic

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

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

Picomat Plastic JSC 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 Picomat Plastic'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 Picomat Plastic's current price.

Picomat Plastic Market Strength Events

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

Picomat Plastic Risk Indicators

The analysis of Picomat Plastic'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 Picomat Plastic's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting picomat 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.

Pair Trading with Picomat Plastic

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Picomat Plastic position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Picomat Plastic will appreciate offsetting losses from the drop in the long position's value.

Moving against Picomat Stock

  0.74APG APG Securities JointPairCorr
  0.65AME Alphanam MEPairCorr
  0.65ABS Binhthuan AgriculturePairCorr
  0.59AAA An Phat PlasticPairCorr
  0.52ADS Damsan JSCPairCorr
The ability to find closely correlated positions to Picomat Plastic could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Picomat Plastic when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Picomat Plastic - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Picomat Plastic JSC to buy it.
The correlation of Picomat Plastic is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Picomat Plastic moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Picomat Plastic JSC moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Picomat Plastic can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Picomat Stock

Picomat Plastic financial ratios help investors to determine whether Picomat 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 Picomat with respect to the benefits of owning Picomat Plastic security.