Mongolia Energy Stock Market Value
| MOAEF Stock | USD 0.08 0.00 0.00% |
| Symbol | Mongolia |
Mongolia 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 Mongolia 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 Mongolia Energy.
| 01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Mongolia Energy on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Mongolia Energy or generate 0.0% return on investment in Mongolia Energy over 90 days. Mongolia Energy is related to or competes with Corsa Coal, Alpha Metallurgical, Arch Resources, Disney, Spyre Therapeutics, Cheesecake Factory, and Hasbro. Mongolia Energy Corporation Limited, an investment holding company, engages in the coal mining, processing, and other re... More
Mongolia 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 Mongolia 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 Mongolia Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 23.61 |
Mongolia Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mongolia Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mongolia Energy's standard deviation. In reality, there are many statistical measures that can use Mongolia Energy historical prices to predict the future Mongolia Energy's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.50) | |||
| Treynor Ratio | 0.5055 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mongolia 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.
Mongolia Energy Backtested Returns
Mongolia Energy has Sharpe Ratio of -0.0611, which conveys that the firm had a -0.0611% return per unit of risk over the last 3 months. Mongolia Energy exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mongolia Energy's Standard Deviation of 2.49, risk adjusted performance of (0.03), and Mean Deviation of 0.6645 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.31, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Mongolia Energy are expected to decrease at a much lower rate. During the bear market, Mongolia Energy is likely to outperform the market. Mongolia Energy has an expected return of -0.16%. Please make sure to verify Mongolia Energy information ratio, skewness, as well as the relationship between the Skewness and day median price , to decide if Mongolia Energy performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Mongolia Energy has no correlation between past and present. Overlapping area represents the amount of predictability between Mongolia Energy time series from 26th of January 2024 to 11th of March 2024 and 11th of March 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 Mongolia Energy price movement. The serial correlation of 0.0 indicates that just 0.0% of current Mongolia Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Mongolia Energy lagged returns against current returns
Autocorrelation, which is Mongolia 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 Mongolia Energy's pink sheet expected returns. We can calculate the autocorrelation of Mongolia Energy returns to help us make a trade decision. For example, suppose you find that Mongolia 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 |
Mongolia 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 Mongolia Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mongolia 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 Mongolia Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Mongolia Energy Lagged Returns
When evaluating Mongolia Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mongolia Energy pink sheet have on its future price. Mongolia 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, Mongolia Energy autocorrelation shows the relationship between Mongolia Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Mongolia Energy.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Mongolia Energy Correlation, Mongolia Energy Volatility and Mongolia Energy Alpha and Beta module to complement your research on Mongolia Energy. Note that the Mongolia Energy information on this page should be used as a complementary analysis to other Mongolia 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Complementary Tools for Mongolia Pink Sheet analysis
When running Mongolia Energy's price analysis, check to measure Mongolia 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 Mongolia Energy is operating at the current time. Most of Mongolia Energy's value examination focuses on studying past and present price action to predict the probability of Mongolia 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 Mongolia Energy's price. Additionally, you may evaluate how the addition of Mongolia Energy to your portfolios can decrease your overall portfolio volatility.
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Mongolia 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.