Italtile Stock Forecast - Polynomial Regression

ITE Stock   1,418  58.00  4.26%   
The Polynomial Regression forecasted value of Italtile on the next trading day is expected to be 1,383 with a mean absolute deviation of 13.68 and the sum of the absolute errors of 848.45. Italtile Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Italtile stock prices and determine the direction of Italtile's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Italtile's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Italtile polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Italtile as well as the accuracy indicators are determined from the period prices.

Italtile Polynomial Regression Price Forecast For the 25th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Italtile on the next trading day is expected to be 1,383 with a mean absolute deviation of 13.68, mean absolute percentage error of 296.01, and the sum of the absolute errors of 848.45.
Please note that although there have been many attempts to predict Italtile 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 Italtile's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Italtile Stock Forecast Pattern

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Italtile Forecasted Value

In the context of forecasting Italtile'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. Italtile's downside and upside margins for the forecasting period are 1,381 and 1,384, respectively. We have considered Italtile'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
1,418
1,383
Expected Value
1,384
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 Italtile stock data series using in forecasting. Note that when a statistical model is used to represent Italtile 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 Criteria125.6388
BiasArithmetic mean of the errors None
MADMean absolute deviation13.6846
MAPEMean absolute percentage error0.01
SAESum of the absolute errors848.4472
A single variable polynomial regression model attempts to put a curve through the Italtile 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 Italtile

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Italtile. 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
1,4161,4181,420
Details
Intrinsic
Valuation
LowRealHigh
1,2761,6071,609
Details

Other Forecasting Options for Italtile

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

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

Italtile 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 Italtile'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 Italtile's current price.

Italtile Market Strength Events

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

Italtile Risk Indicators

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

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.

Other Information on Investing in Italtile Stock

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