Mongolian Mining Stock Market Value
| MOGLF Stock | USD 1.00 0.05 4.76% |
| Symbol | Mongolian |
Mongolian Mining '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 Mongolian Mining'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 Mongolian Mining.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Mongolian Mining on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Mongolian Mining or generate 0.0% return on investment in Mongolian Mining over 30 days. Mongolian Mining is related to or competes with Warrior Met, Alpha Metallurgical, SunCoke Energy, Ramaco Resources, Ramaco Resources, and Colonial Coal. Mongolian Mining Corporation engages in the mining, processing, transportation, and sale of coking coal products in Chin... More
Mongolian Mining 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 Mongolian Mining'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 Mongolian Mining upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.26 | |||
| Information Ratio | 0.0073 | |||
| Maximum Drawdown | 34.9 | |||
| Value At Risk | (4.76) | |||
| Potential Upside | 4.21 |
Mongolian Mining Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mongolian Mining's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mongolian Mining's standard deviation. In reality, there are many statistical measures that can use Mongolian Mining historical prices to predict the future Mongolian Mining's volatility.| Risk Adjusted Performance | 0.0373 | |||
| Jensen Alpha | 0.1362 | |||
| Total Risk Alpha | (0.47) | |||
| Sortino Ratio | 0.0041 | |||
| Treynor Ratio | 1.86 |
Mongolian Mining Backtested Returns
At this point, Mongolian Mining is extremely dangerous. Mongolian Mining has Sharpe Ratio of 0.0387, which conveys that the firm had a 0.0387% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Mongolian Mining, which you can use to evaluate the volatility of the firm. Please verify Mongolian Mining's Mean Deviation of 1.65, downside deviation of 7.26, and Risk Adjusted Performance of 0.0373 to check out if the risk estimate we provide is consistent with the expected return of 0.16%. Mongolian Mining has a performance score of 3 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.078, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mongolian Mining's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mongolian Mining is expected to be smaller as well. Mongolian Mining right now secures a risk of 4.13%. Please verify Mongolian Mining kurtosis, day typical price, as well as the relationship between the downside variance and treynor ratio , to decide if Mongolian Mining will be following its current price movements.
Auto-correlation | 0.40 |
Average predictability
Mongolian Mining has average predictability. Overlapping area represents the amount of predictability between Mongolian Mining time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 Mongolian Mining price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Mongolian Mining price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Mongolian Mining lagged returns against current returns
Autocorrelation, which is Mongolian Mining 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 Mongolian Mining's pink sheet expected returns. We can calculate the autocorrelation of Mongolian Mining returns to help us make a trade decision. For example, suppose you find that Mongolian Mining 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 |
Mongolian Mining 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 Mongolian Mining pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mongolian Mining pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mongolian Mining pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Mongolian Mining Lagged Returns
When evaluating Mongolian Mining's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mongolian Mining pink sheet have on its future price. Mongolian Mining 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, Mongolian Mining autocorrelation shows the relationship between Mongolian Mining pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Mongolian Mining.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Mongolian Pink Sheet
Mongolian Mining financial ratios help investors to determine whether Mongolian Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Mongolian with respect to the benefits of owning Mongolian Mining security.