White Energy Stock Market Value
| WECFF Stock | USD 0.06 0.03 100.00% |
| Symbol | White |
White Energy '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 White Energy'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 White Energy.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in White Energy on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding White Energy or generate 0.0% return on investment in White Energy over 30 days. White Energy is related to or competes with Yanzhou Coal, Yancoal Australia, and Consol Energy. White Energy Company Limited engages in coal technology, coal mining, and exploration businesses in Australia, Indonesia... More
White Energy 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 White Energy'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 White Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1205 | |||
| Maximum Drawdown | 91.67 | |||
| Value At Risk | (25.00) | |||
| Potential Upside | 33.33 |
White Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for White Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as White Energy's standard deviation. In reality, there are many statistical measures that can use White Energy historical prices to predict the future White Energy's volatility.| Risk Adjusted Performance | 0.087 | |||
| Jensen Alpha | 2.44 | |||
| Total Risk Alpha | (0.06) | |||
| Treynor Ratio | (0.78) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of White Energy'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.
White Energy Backtested Returns
White Energy is out of control given 3 months investment horizon. White Energy shows Sharpe Ratio of 0.0793, which attests that the company had a 0.0793% return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-two different technical indicators, which can help you to evaluate if expected returns of 1.29% are justified by taking the suggested risk. Use White Energy Standard Deviation of 17.69, market risk adjusted performance of (0.77), and Mean Deviation of 7.74 to evaluate company specific risk that cannot be diversified away. White Energy holds a performance score of 6 on a scale of zero to a hundred. The firm maintains a market beta of -2.84, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning White Energy are expected to decrease by larger amounts. On the other hand, during market turmoil, White Energy is expected to outperform it. Use White Energy treynor ratio and the relationship between the skewness and price action indicator , to analyze future returns on White Energy.
Auto-correlation | -0.13 |
Insignificant reverse predictability
White Energy has insignificant reverse predictability. Overlapping area represents the amount of predictability between White Energy time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 White Energy price movement. The serial correlation of -0.13 indicates that less than 13.0% of current White Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
White Energy lagged returns against current returns
Autocorrelation, which is White Energy 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 White Energy's pink sheet expected returns. We can calculate the autocorrelation of White Energy returns to help us make a trade decision. For example, suppose you find that White Energy 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 |
White Energy 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 White Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if White Energy pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in White Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
White Energy Lagged Returns
When evaluating White Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of White Energy pink sheet have on its future price. White Energy 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, White Energy autocorrelation shows the relationship between White Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in White Energy.
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 White Energy 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, White Energy's short interest history, or implied volatility extrapolated from White Energy options trading.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out White Energy Correlation, White Energy Volatility and White Energy Alpha and Beta module to complement your research on White Energy. Note that the White Energy information on this page should be used as a complementary analysis to other White Energy'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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Complementary Tools for White Pink Sheet analysis
When running White Energy's price analysis, check to measure White Energy'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 White Energy is operating at the current time. Most of White Energy's value examination focuses on studying past and present price action to predict the probability of White Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move White Energy's price. Additionally, you may evaluate how the addition of White Energy to your portfolios can decrease your overall portfolio volatility.
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White Energy 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.