Intel Stock Statistic Functions Beta

INTC Stock  USD 35.68  0.58  1.60%   
Intel statistic functions tool provides the execution environment for running the Beta function and other technical functions against Intel. Intel value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. Intel statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Intel correlated with the market. If Beta is less than 0 Intel generally moves in the opposite direction as compared to the market. If Intel Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Intel is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Intel is generally in the same direction as the market. If Beta > 1 Intel moves generally in the same direction as, but more than the movement of the benchmark.

Intel Technical Analysis Modules

Most technical analysis of Intel help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Intel from various momentum indicators to cycle indicators. When you analyze Intel charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Intel Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Intel. We use our internally-developed statistical techniques to arrive at the intrinsic value of Intel based on widely used predictive technical indicators. In general, we focus on analyzing Intel Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Intel's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Intel's intrinsic value. In addition to deriving basic predictive indicators for Intel, we also check how macroeconomic factors affect Intel price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 (projected)
Dividend Yield0.01470.05520.0497
Price To Sales Ratio3.881.721.98
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
32.6835.4038.12
Details
Intrinsic
Valuation
LowRealHigh
29.6032.3239.25
Details
Naive
Forecast
LowNextHigh
30.9833.7036.42
Details
46 Analysts
Consensus
LowTargetHigh
30.5733.5937.28
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Intel. Your research has to be compared to or analyzed against Intel's peers to derive any actionable benefits. When done correctly, Intel'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 Intel.

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Intel pair trading

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 Intel 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 Intel will appreciate offsetting losses from the drop in the long position's value.

Intel Pair Trading

Intel Pair Trading Analysis

The ability to find closely correlated positions to Intel could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Intel 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 Intel - 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 Intel to buy it.
The correlation of Intel 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 Intel moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Intel 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 Intel 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
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:
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Intel. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in estimate.
For information on how to trade Intel Stock refer to our How to Trade Intel Stock guide.
You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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When running Intel's price analysis, check to measure Intel'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 Intel is operating at the current time. Most of Intel's value examination focuses on studying past and present price action to predict the probability of Intel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Intel's price. Additionally, you may evaluate how the addition of Intel to your portfolios can decrease your overall portfolio volatility.
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Is Intel'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 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
0.74
Earnings Share
0.4
Revenue Per Share
12.942
Quarterly Revenue Growth
0.097
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.