Huntsman Exploration Stock Market Value
BBBMF Stock | USD 0.04 0.00 0.00% |
Symbol | Huntsman |
Huntsman Exploration '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 Huntsman Exploration's pink sheet 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 Huntsman Exploration.
05/04/2024 |
| 06/03/2024 |
If you would invest 0.00 in Huntsman Exploration on May 4, 2024 and sell it all today you would earn a total of 0.00 from holding Huntsman Exploration or generate 0.0% return on investment in Huntsman Exploration over 30 days. Huntsman Exploration is related to or competes with HUMANA, Barloworld, Morningstar Unconstrained, Thrivent High, High-yield Municipal, and Via Renewables. Huntsman Exploration Inc., an exploration stage company, engages in the identification, evaluation, and acquisition of m... More
Huntsman Exploration 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 Huntsman Exploration's pink sheet 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 Huntsman Exploration upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.1187 | |||
Maximum Drawdown | 225.71 |
Huntsman Exploration Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Huntsman Exploration's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Huntsman Exploration's standard deviation. In reality, there are many statistical measures that can use Huntsman Exploration historical prices to predict the future Huntsman Exploration's volatility.Risk Adjusted Performance | 0.0851 | |||
Jensen Alpha | 2.83 | |||
Total Risk Alpha | 1.53 | |||
Treynor Ratio | 1.67 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Huntsman Exploration'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.
Huntsman Exploration Backtested Returns
Huntsman Exploration is out of control given 3 months investment horizon. Huntsman Exploration holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of risk over the last 3 months. We have collected data for seventeen different technical indicators, which can help you to evaluate if expected returns of 3.04% are justified by taking the suggested risk. Use Huntsman Exploration Risk Adjusted Performance of 0.0851, standard deviation of 24.06, and Market Risk Adjusted Performance of 1.68 to evaluate company specific risk that cannot be diversified away. Huntsman Exploration holds a performance score of 9 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of 1.73, 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, Huntsman Exploration will likely underperform. Use Huntsman Exploration maximum drawdown, as well as the relationship between the rate of daily change and relative strength index , to analyze future returns on Huntsman Exploration.
Auto-correlation | 0.00 |
No correlation between past and present
Huntsman Exploration has no correlation between past and present. Overlapping area represents the amount of predictability between Huntsman Exploration time series from 4th of May 2024 to 19th of May 2024 and 19th of May 2024 to 3rd of June 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 Huntsman Exploration price movement. The serial correlation of 0.0 indicates that just 0.0% of current Huntsman Exploration price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Huntsman Exploration lagged returns against current returns
Autocorrelation, which is Huntsman Exploration pink sheet'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 Huntsman Exploration's pink sheet expected returns. We can calculate the autocorrelation of Huntsman Exploration returns to help us make a trade decision. For example, suppose you find that Huntsman Exploration has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Huntsman Exploration 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 Huntsman Exploration pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Huntsman Exploration pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Huntsman Exploration pink sheet over time.
Current vs Lagged Prices |
Timeline |
Huntsman Exploration Lagged Returns
When evaluating Huntsman Exploration's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Huntsman Exploration pink sheet have on its future price. Huntsman Exploration 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, Huntsman Exploration autocorrelation shows the relationship between Huntsman Exploration pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Huntsman Exploration.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Huntsman Exploration Correlation, Huntsman Exploration Volatility and Huntsman Exploration Alpha and Beta module to complement your research on Huntsman Exploration. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Huntsman Pink Sheet analysis
When running Huntsman Exploration's price analysis, check to measure Huntsman Exploration'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 Huntsman Exploration is operating at the current time. Most of Huntsman Exploration's value examination focuses on studying past and present price action to predict the probability of Huntsman Exploration's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Huntsman Exploration's price. Additionally, you may evaluate how the addition of Huntsman Exploration to your portfolios can decrease your overall portfolio volatility.
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Huntsman Exploration technical pink sheet 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, pink sheet market cycles, or different charting patterns.