Intel Stock Market Value

INTC Stock  USD 24.58  0.57  2.37%   
Intel's market value is the price at which a share of Intel trades on a public exchange. It measures the collective expectations of Intel investors about its performance. Intel is trading at 24.58 as of the 21st of November 2024, a 2.37% increase since the beginning of the trading day. The stock's open price was 24.01.
With this module, you can estimate the performance of a buy and hold strategy of Intel and determine expected loss or profit from investing in Intel over a given investment horizon. Check out Intel Correlation, Intel Volatility and Intel Alpha and Beta module to complement your research on Intel.
For information on how to trade Intel Stock refer to our How to Trade Intel Stock guide.
Symbol

Intel Price To Book Ratio

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.

Intel 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Intel's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Intel.
0.00
10/22/2024
No Change 0.00  0.0 
In 31 days
11/21/2024
0.00
If you would invest  0.00  in Intel on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding Intel or generate 0.0% return on investment in Intel over 30 days. Intel is related to or competes with NVIDIA, Taiwan Semiconductor, Marvell Technology, Micron Technology, Advanced Micro, and Broadcom. Intel Corporation engages in the design, manufacture, and sale of computer products and technologies worldwide More

Intel Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Intel's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Intel upside and downside potential and time the market with a certain degree of confidence.

Intel Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Intel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Intel's standard deviation. In reality, there are many statistical measures that can use Intel historical prices to predict the future Intel's volatility.
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
20.7323.8727.01
Details
Intrinsic
Valuation
LowRealHigh
21.6128.4231.56
Details
Naive
Forecast
LowNextHigh
19.5022.6425.78
Details
46 Analysts
Consensus
LowTargetHigh
30.5733.5937.28
Details

Intel Backtested Returns

Intel appears to be very steady, given 3 months investment horizon. Intel holds Efficiency (Sharpe) Ratio of 0.0931, which attests that the entity had a 0.0931% return per unit of risk over the last 3 months. We have found thirty technical indicators for Intel, which you can use to evaluate the volatility of the firm. Please utilize Intel's Market Risk Adjusted Performance of 0.1123, risk adjusted performance of 0.0674, and Downside Deviation of 2.9 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Intel holds a performance score of 7. The company retains a Market Volatility (i.e., Beta) of 2.39, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Intel will likely underperform. Please check Intel's expected short fall, and the relationship between the value at risk and daily balance of power , to make a quick decision on whether Intel's current trending patterns will revert.

Auto-correlation

    
  -0.32  

Poor reverse predictability

Intel has poor reverse predictability. Overlapping area represents the amount of predictability between Intel time series from 22nd of October 2024 to 6th of November 2024 and 6th of November 2024 to 21st of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Intel price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Intel price fluctuation can be explain by its past prices.
Correlation Coefficient-0.32
Spearman Rank Test-0.34
Residual Average0.0
Price Variance0.48

Intel lagged returns against current returns

Autocorrelation, which is Intel stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Intel's stock expected returns. We can calculate the autocorrelation of Intel returns to help us make a trade decision. For example, suppose you find that Intel has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Intel regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Intel stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Intel stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Intel stock over time.
   Current vs Lagged Prices   
       Timeline  

Intel Lagged Returns

When evaluating Intel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Intel stock have on its future price. Intel autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Intel autocorrelation shows the relationship between Intel stock current value and its past values and can show if there is a momentum factor associated with investing in Intel.
   Regressed Prices   
       Timeline  

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:
Check out Intel Correlation, Intel Volatility and Intel Alpha and Beta module to complement your research on Intel.
For information on how to trade Intel Stock refer to our How to Trade Intel Stock guide.
You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Intel technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Intel technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Intel trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...