Halliburton (Germany) Market Value
HAL Stock | EUR 26.71 0.64 2.34% |
Symbol | Halliburton |
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.
01/18/2023 |
| 01/07/2025 |
If you would invest 0.00 in Halliburton on January 18, 2023 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 720 days. Halliburton is related to or competes with PLAYTECH, TRADELINK ELECTRON, AUTO TRADER, Canon Marketing, CANON MARKETING, PLAYTIKA HOLDING, and SALESFORCE INC. 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.
Information Ratio | (0.02) | |||
Maximum Drawdown | 12.25 | |||
Value At Risk | (3.64) | |||
Potential Upside | 3.69 |
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) | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.08) | |||
Treynor Ratio | (6.94) |
Halliburton Backtested Returns
Halliburton holds Efficiency (Sharpe) Ratio of -0.0117, which attests that the entity had a -0.0117% return per unit of risk over the last 3 months. Halliburton exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Halliburton's Standard Deviation of 2.11, market risk adjusted performance of (6.93), and insignificant Risk Adjusted Performance to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.005, 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. At this point, Halliburton has a negative expected return of -0.0247%. Please make sure to check out Halliburton's treynor ratio, skewness, rate of daily change, as well as the relationship between the value at risk and accumulation distribution , to decide if Halliburton performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Halliburton has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Halliburton time series from 18th of January 2023 to 13th of January 2024 and 13th of January 2024 to 7th of January 2025. 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 -0.72 indicates that around 72.0% of current Halliburton price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.72 | |
Spearman Rank Test | -0.15 | |
Residual Average | 0.0 | |
Price Variance | 10.25 |
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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Additional Information and Resources on Investing in Halliburton Stock
When determining whether Halliburton is a strong investment it is important to analyze Halliburton's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Halliburton's future performance. For an informed investment choice regarding Halliburton Stock, refer to the following important reports:Check out Halliburton Correlation, Halliburton Volatility and Halliburton Alpha and Beta module to complement your research on Halliburton. For information on how to trade Halliburton Stock refer to our How to Trade Halliburton Stock guide.You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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.