Whitehaven Coal Limited Stock Market Value
| WHITF Stock | USD 5.34 0.22 4.30% |
| Symbol | Whitehaven |
Whitehaven Coal '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 Whitehaven Coal'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 Whitehaven Coal.
| 04/04/2024 |
| 05/04/2024 |
If you would invest 0.00 in Whitehaven Coal on April 4, 2024 and sell it all today you would earn a total of 0.00 from holding Whitehaven Coal Limited or generate 0.0% return on investment in Whitehaven Coal over 30 days. Whitehaven Coal is related to or competes with Alliance Resource, Global Blue, GigaCloud Technology, GM, Trade Desk, Cardiff Oncology, and Skechers USA. Whitehaven Coal Limited develops and operates coal mines in New South Wales and Queensland More
Whitehaven Coal 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 Whitehaven Coal'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 Whitehaven Coal Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 10.36 | |||
| Value At Risk | (3.24) | |||
| Potential Upside | 3.42 |
Whitehaven Coal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Whitehaven Coal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Whitehaven Coal's standard deviation. In reality, there are many statistical measures that can use Whitehaven Coal historical prices to predict the future Whitehaven Coal's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Whitehaven Coal'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.
Whitehaven Coal Backtested Returns
We consider Whitehaven Coal somewhat reliable. Whitehaven Coal shows Sharpe Ratio of 0.0466, which attests that the company had a 0.0466% return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Whitehaven Coal, which you can use to evaluate the volatility of the company. Please check out Whitehaven Coal's Market Risk Adjusted Performance of (0.08), standard deviation of 2.14, and Mean Deviation of 1.59 to validate if the risk estimate we provide is consistent with the expected return of 0.1%. Whitehaven Coal has a performance score of 3 on a scale of 0 to 100. The firm maintains a market beta of 1.0, which attests to possible diversification benefits within a given portfolio. Whitehaven Coal returns are very sensitive to returns on the market. As the market goes up or down, Whitehaven Coal is expected to follow. Whitehaven Coal right now maintains a risk of 2.16%. Please check out Whitehaven Coal variance, potential upside, as well as the relationship between the Potential Upside and day median price , to decide if Whitehaven Coal will be following its historical returns.
Auto-correlation | 0.32 |
Below average predictability
Whitehaven Coal Limited has below average predictability. Overlapping area represents the amount of predictability between Whitehaven Coal time series from 4th of April 2024 to 19th of April 2024 and 19th of April 2024 to 4th of May 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 Whitehaven Coal price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Whitehaven Coal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Whitehaven Coal lagged returns against current returns
Autocorrelation, which is Whitehaven Coal 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 Whitehaven Coal's pink sheet expected returns. We can calculate the autocorrelation of Whitehaven Coal returns to help us make a trade decision. For example, suppose you find that Whitehaven Coal 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 |
Whitehaven Coal 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 Whitehaven Coal pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Whitehaven Coal pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Whitehaven Coal pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Whitehaven Coal Lagged Returns
When evaluating Whitehaven Coal's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Whitehaven Coal pink sheet have on its future price. Whitehaven Coal 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, Whitehaven Coal autocorrelation shows the relationship between Whitehaven Coal pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Whitehaven Coal Limited.
Regressed Prices |
| Timeline |
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 Whitehaven Coal 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, Whitehaven Coal's short interest history, or implied volatility extrapolated from Whitehaven Coal options trading.
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Complementary Tools for Whitehaven Pink Sheet analysis
When running Whitehaven Coal's price analysis, check to measure Whitehaven Coal'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 Whitehaven Coal is operating at the current time. Most of Whitehaven Coal's value examination focuses on studying past and present price action to predict the probability of Whitehaven Coal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Whitehaven Coal's price. Additionally, you may evaluate how the addition of Whitehaven Coal to your portfolios can decrease your overall portfolio volatility.
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Whitehaven Coal 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.