ON Semiconductor Stock Forecast - Simple Regression

ON Stock  USD 62.93  1.54  2.39%   
The Simple Regression forecasted value of ON Semiconductor on the next trading day is expected to be 70.54 with a mean absolute deviation of  3.30  and the sum of the absolute errors of 201.51. ON Semiconductor Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ON Semiconductor stock prices and determine the direction of ON Semiconductor's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ON Semiconductor's historical fundamentals, such as revenue growth or operating cash flow patterns. Although ON Semiconductor's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of ON Semiconductor's systematic risk associated with finding meaningful patterns of ON Semiconductor fundamentals over time.
Check out Historical Fundamental Analysis of ON Semiconductor to cross-verify your projections.
To learn how to invest in ON Semiconductor Stock, please use our How to Invest in ON Semiconductor guide.
  
As of the 18th of April 2024, Inventory Turnover is likely to grow to 4.06. Also, Payables Turnover is likely to grow to 7.25. As of the 18th of April 2024, Net Income Applicable To Common Shares is likely to grow to about 2.3 B, while Common Stock Shares Outstanding is likely to drop about 405.1 M.

Open Interest Against 2024-04-19 ON Semiconductor Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast ON Semiconductor's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in ON Semiconductor's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for ON Semiconductor stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current ON Semiconductor's open interest, investors have to compare it to ON Semiconductor's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of ON Semiconductor is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in ON Semiconductor. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in ON Semiconductor 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 ON Semiconductor's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets ON Semiconductor'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 ON Semiconductor 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.

ON Semiconductor Simple Regression Price Forecast For the 19th of April

Given 90 days horizon, the Simple Regression forecasted value of ON Semiconductor on the next trading day is expected to be 70.54 with a mean absolute deviation of 3.30, mean absolute percentage error of 16.60, and the sum of the absolute errors of 201.51.
Please note that although there have been many attempts to predict ON Semiconductor 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 ON Semiconductor's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ON Semiconductor Stock Forecast Pattern

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ON Semiconductor Forecasted Value

In the context of forecasting ON Semiconductor'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. ON Semiconductor's downside and upside margins for the forecasting period are 67.81 and 73.27, respectively. We have considered ON Semiconductor'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
62.93
70.54
Expected Value
73.27
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 ON Semiconductor stock data series using in forecasting. Note that when a statistical model is used to represent ON Semiconductor 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 Criteria120.9197
BiasArithmetic mean of the errors None
MADMean absolute deviation3.3035
MAPEMean absolute percentage error0.0446
SAESum of the absolute errors201.5137
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 ON Semiconductor 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 ON Semiconductor

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ON Semiconductor. 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 ON Semiconductor'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
61.8464.5767.30
Details
Intrinsic
Valuation
LowRealHigh
58.0274.3677.09
Details
32 Analysts
Consensus
LowTargetHigh
108.75119.50132.65
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.971.051.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ON Semiconductor. Your research has to be compared to or analyzed against ON Semiconductor's peers to derive any actionable benefits. When done correctly, ON Semiconductor'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 ON Semiconductor.

Other Forecasting Options for ON Semiconductor

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

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

ON Semiconductor 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 ON Semiconductor'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 ON Semiconductor's current price.

ON Semiconductor Market Strength Events

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

ON Semiconductor Risk Indicators

The analysis of ON Semiconductor'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 ON Semiconductor's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting on semiconductor 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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When determining whether ON Semiconductor offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ON Semiconductor'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 On Semiconductor Stock. Outlined below are crucial reports that will aid in making a well-informed decision on On Semiconductor Stock:
Check out Historical Fundamental Analysis of ON Semiconductor to cross-verify your projections.
To learn how to invest in ON Semiconductor Stock, please use our How to Invest in ON Semiconductor guide.
You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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Is ON Semiconductor's industry 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 ON Semiconductor. If investors know ON Semiconductor 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 ON Semiconductor 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
(0.05)
Earnings Share
4.89
Revenue Per Share
19.162
Quarterly Revenue Growth
(0.04)
Return On Assets
0.1294
The market value of ON Semiconductor is measured differently than its book value, which is the value of ON Semiconductor that is recorded on the company's balance sheet. Investors also form their own opinion of ON Semiconductor's value that differs from its market value or its book value, called intrinsic value, which is ON Semiconductor'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 ON Semiconductor's market value can be influenced by many factors that don't directly affect ON Semiconductor'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 ON Semiconductor's value and its price as these two are different measures arrived at by different means. Investors typically determine if ON Semiconductor is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ON Semiconductor'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.