Metallic Minerals Corp Stock Market Value
| MMNGF Stock | USD 0.14 0.01 6.67% |
| Symbol | Metallic |
Metallic Minerals '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 Metallic Minerals' otc stock 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 Metallic Minerals.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Metallic Minerals on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Metallic Minerals Corp or generate 0.0% return on investment in Metallic Minerals over 90 days. Metallic Minerals is related to or competes with Defiance Silver, AbraSilver Resource, Summa Silver, Denarius Silver, Avino Silver, and Hecla Mining. Metallic Minerals Corp. acquires, explores for, and develops mineral properties More
Metallic Minerals 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 Metallic Minerals' otc stock 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 Metallic Minerals Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.36 | |||
| Information Ratio | 0.1308 | |||
| Maximum Drawdown | 30.0 | |||
| Value At Risk | (7.14) | |||
| Potential Upside | 10.0 |
Metallic Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Metallic Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Metallic Minerals' standard deviation. In reality, there are many statistical measures that can use Metallic Minerals historical prices to predict the future Metallic Minerals' volatility.| Risk Adjusted Performance | 0.108 | |||
| Jensen Alpha | 0.7294 | |||
| Total Risk Alpha | 1.42 | |||
| Sortino Ratio | 0.123 | |||
| Treynor Ratio | 1.32 |
Metallic Minerals Corp Backtested Returns
Metallic Minerals appears to be out of control, given 3 months investment horizon. Metallic Minerals Corp has Sharpe Ratio of 0.15, which conveys that the firm had a 0.15 % return per unit of risk over the last 3 months. By analyzing Metallic Minerals' technical indicators, you can evaluate if the expected return of 0.92% is justified by implied risk. Please exercise Metallic Minerals' Mean Deviation of 4.28, downside deviation of 6.36, and Risk Adjusted Performance of 0.108 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Metallic Minerals holds a performance score of 11. The company secures a Beta (Market Risk) of 0.51, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Metallic Minerals' returns are expected to increase less than the market. However, during the bear market, the loss of holding Metallic Minerals is expected to be smaller as well. Please check Metallic Minerals' value at risk and the relationship between the expected short fall and period momentum indicator , to make a quick decision on whether Metallic Minerals' current price movements will revert.
Auto-correlation | 0.17 |
Very weak predictability
Metallic Minerals Corp has very weak predictability. Overlapping area represents the amount of predictability between Metallic Minerals time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Metallic Minerals Corp price movement. The serial correlation of 0.17 indicates that over 17.0% of current Metallic Minerals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Metallic Minerals Corp lagged returns against current returns
Autocorrelation, which is Metallic Minerals otc stock'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 Metallic Minerals' otc stock expected returns. We can calculate the autocorrelation of Metallic Minerals returns to help us make a trade decision. For example, suppose you find that Metallic Minerals has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
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Metallic Minerals 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 Metallic Minerals otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Metallic Minerals otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Metallic Minerals otc stock over time.
Current vs Lagged Prices |
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Metallic Minerals Lagged Returns
When evaluating Metallic Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Metallic Minerals otc stock have on its future price. Metallic Minerals 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, Metallic Minerals autocorrelation shows the relationship between Metallic Minerals otc stock current value and its past values and can show if there is a momentum factor associated with investing in Metallic Minerals Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Metallic OTC Stock
Metallic Minerals financial ratios help investors to determine whether Metallic OTC Stock 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 Metallic with respect to the benefits of owning Metallic Minerals security.