Intel Stock Market Value
INTC Stock | USD 35.04 0.64 1.79% |
Symbol | Intel |
Intel Price To Book Ratio
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.
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.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Intel on March 20, 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.
Information Ratio | (0.18) | |||
Maximum Drawdown | 14.95 | |||
Value At Risk | (5.16) | |||
Potential Upside | 3.13 |
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.Risk Adjusted Performance | (0.09) | |||
Jensen Alpha | (0.48) | |||
Total Risk Alpha | (0.67) | |||
Treynor Ratio | (0.35) |
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.
Intel Backtested Returns
Intel holds Efficiency (Sharpe) Ratio of -0.17, which attests that the entity had a -0.17% return per unit of risk over the last 3 months. Intel exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Intel's Risk Adjusted Performance of (0.09), market risk adjusted performance of (0.34), and Standard Deviation of 2.69 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.19, 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. Intel has an expected return of -0.47%. Please make sure to check out Intel treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day median price , to decide if Intel performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.11 |
Insignificant predictability
Intel has insignificant predictability. Overlapping area represents the amount of predictability between Intel time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 0.11 indicates that less than 11.0% of current Intel price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.11 | |
Spearman Rank Test | 0.09 | |
Residual Average | 0.0 | |
Price Variance | 1.97 |
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 |
Intel Investors Sentiment
The influence of Intel's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Intel. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Intel's public news can be used to forecast risks associated with an investment in Intel. The trend in average sentiment can be used to explain how an investor holding Intel can time the market purely based on public headlines and social activities around Intel. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Intel's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Intel's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Intel's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Intel.
Intel Implied Volatility | 69.59 |
Intel's implied volatility exposes the market's sentiment of Intel stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Intel's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Intel stock will not fluctuate a lot when Intel's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Intel in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Intel's short interest history, or implied volatility extrapolated from Intel options trading.
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Try AI Portfolio ArchitectCheck 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Intel Stock analysis
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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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.