Halliburton Stock Market Value
| HAL Stock | USD 38.59 0.13 0.34% |
| Symbol | Halliburton |
Halliburton Price To Book Ratio
Is Halliburton'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 Halliburton. If investors know Halliburton 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 Halliburton 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 (0.06) | Dividend Share 0.65 | Earnings Share 2.88 | Revenue Per Share 25.853 | Quarterly Revenue Growth 0.022 |
The market value of Halliburton is measured differently than its book value, which is the value of Halliburton that is recorded on the company's balance sheet. Investors also form their own opinion of Halliburton's value that differs from its market value or its book value, called intrinsic value, which is Halliburton'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 Halliburton's market value can be influenced by many factors that don't directly affect Halliburton'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 Halliburton's value and its price as these two are different measures arrived at by different means. Investors typically determine if Halliburton is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Halliburton'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.
Halliburton '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 Halliburton'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 Halliburton.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Halliburton on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Halliburton or generate 0.0% return on investment in Halliburton over 30 days. Halliburton is related to or competes with TechnipFMC PLC, Now, ChampionX, Baker Hughes, Oceaneering International, Bristow, and Ranger Energy. Halliburton Company provides products and services to the energy industry worldwide More
Halliburton 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 Halliburton'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 Halliburton upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.22 | |||
| Information Ratio | 0.0882 | |||
| Maximum Drawdown | 7.47 | |||
| Value At Risk | (1.69) | |||
| Potential Upside | 2.54 |
Halliburton Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Halliburton's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Halliburton's standard deviation. In reality, there are many statistical measures that can use Halliburton historical prices to predict the future Halliburton's volatility.| Risk Adjusted Performance | 0.1001 | |||
| Jensen Alpha | 0.197 | |||
| Total Risk Alpha | 0.0273 | |||
| Sortino Ratio | 0.1004 | |||
| Treynor Ratio | 5.29 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Halliburton'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.
Halliburton Backtested Returns
We consider Halliburton very steady. Halliburton holds Efficiency (Sharpe) Ratio of 0.0521, which attests that the entity had a 0.0521% return per unit of risk over the last 3 months. We have found thirty technical indicators for Halliburton, which you can use to evaluate the volatility of the firm. Please check out Halliburton's Market Risk Adjusted Performance of 5.3, downside deviation of 1.22, and Risk Adjusted Performance of 0.1001 to validate if the risk estimate we provide is consistent with the expected return of 0.066%. Halliburton has a performance score of 4 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.0378, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Halliburton's returns are expected to increase less than the market. However, during the bear market, the loss of holding Halliburton is expected to be smaller as well. Halliburton right now retains a risk of 1.27%. Please check out Halliburton sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to decide if Halliburton will be following its current trending patterns.
Auto-correlation | -0.86 |
Excellent reverse predictability
Halliburton has excellent reverse predictability. Overlapping area represents the amount of predictability between Halliburton time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Halliburton price movement. The serial correlation of -0.86 indicates that approximately 86.0% of current Halliburton price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.86 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.92 |
Halliburton lagged returns against current returns
Autocorrelation, which is Halliburton 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 Halliburton's stock expected returns. We can calculate the autocorrelation of Halliburton returns to help us make a trade decision. For example, suppose you find that Halliburton 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 |
Halliburton 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 Halliburton stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Halliburton stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Halliburton stock over time.
Current vs Lagged Prices |
| Timeline |
Halliburton Lagged Returns
When evaluating Halliburton's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Halliburton stock have on its future price. Halliburton 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, Halliburton autocorrelation shows the relationship between Halliburton stock current value and its past values and can show if there is a momentum factor associated with investing in Halliburton.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Halliburton Correlation, Halliburton Volatility and Halliburton Alpha and Beta module to complement your research on Halliburton. For more information on how to buy Halliburton Stock please use our How to buy in Halliburton Stock guide.Note that the Halliburton information on this page should be used as a complementary analysis to other Halliburton's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Complementary Tools for Halliburton Stock analysis
When running Halliburton's price analysis, check to measure Halliburton'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 Halliburton is operating at the current time. Most of Halliburton's value examination focuses on studying past and present price action to predict the probability of Halliburton's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Halliburton's price. Additionally, you may evaluate how the addition of Halliburton to your portfolios can decrease your overall portfolio volatility.
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Halliburton 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.