Intel Stock Forecast - Polynomial Regression

INTC Stock  USD 24.50  0.06  0.25%   
The Polynomial Regression forecasted value of Intel on the next trading day is expected to be 25.28 with a mean absolute deviation of 0.79 and the sum of the absolute errors of 48.46. Intel Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Intel stock prices and determine the direction of Intel's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Intel's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Intel's Payables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Asset Turnover is expected to grow to 0.74, whereas Receivables Turnover is forecasted to decline to 7.79. . The current year's Common Stock Shares Outstanding is expected to grow to about 4.6 B. The current year's Net Income Applicable To Common Shares is expected to grow to about 11.4 B.
Intel polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Intel as well as the accuracy indicators are determined from the period prices.

Intel Polynomial Regression Price Forecast For the 25th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Intel on the next trading day is expected to be 25.28 with a mean absolute deviation of 0.79, mean absolute percentage error of 1.01, and the sum of the absolute errors of 48.46.
Please note that although there have been many attempts to predict Intel 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 Intel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Intel Stock Forecast Pattern

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Intel Forecasted Value

In the context of forecasting Intel'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. Intel's downside and upside margins for the forecasting period are 22.17 and 28.39, respectively. We have considered Intel'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
24.50
25.28
Expected Value
28.39
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 Intel stock data series using in forecasting. Note that when a statistical model is used to represent Intel 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 Criteria118.1194
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7945
MAPEMean absolute percentage error0.0353
SAESum of the absolute errors48.4636
A single variable polynomial regression model attempts to put a curve through the Intel 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 Intel

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Intel. 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 Intel'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
21.2324.3427.45
Details
Intrinsic
Valuation
LowRealHigh
22.0528.5431.65
Details
Bollinger
Band Projection (param)
LowMiddleHigh
24.4224.4824.54
Details
46 Analysts
Consensus
LowTargetHigh
30.5733.5937.28
Details

Other Forecasting Options for Intel

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

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

Intel 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 Intel'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 Intel's current price.

Intel Market Strength Events

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

Intel Risk Indicators

The analysis of Intel'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 Intel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting intel 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.
When determining whether Intel offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Intel's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Intel Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Intel Stock:
Is Semiconductors & Semiconductor Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Intel. If investors know Intel will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Intel listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.72)
Dividend Share
0.495
Earnings Share
(3.74)
Revenue Per Share
12.748
Quarterly Revenue Growth
(0.06)
The market value of Intel is measured differently than its book value, which is the value of Intel that is recorded on the company's balance sheet. Investors also form their own opinion of Intel's value that differs from its market value or its book value, called intrinsic value, which is Intel's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Intel's market value can be influenced by many factors that don't directly affect Intel's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Intel's value and its price as these two are different measures arrived at by different means. Investors typically determine if Intel is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Intel's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.