Nine Mile Metals Stock Market Value
| VMSXF Stock | USD 0.02 0 7.23% |
| Symbol | Nine |
Nine Mile '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 Nine Mile'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 Nine Mile.
| 06/04/2024 |
| 12/01/2024 |
If you would invest 0.00 in Nine Mile on June 4, 2024 and sell it all today you would earn a total of 0.00 from holding Nine Mile Metals or generate 0.0% return on investment in Nine Mile over 180 days. Nine Mile is related to or competes with Aurion Resources, Rio2, and Grande Portage. Nine Mile Metals Ltd. engages in the acquisition, development, and exploration of mineral properties More
Nine Mile 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 Nine Mile'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 Nine Mile Metals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.14 | |||
| Information Ratio | 0.0196 | |||
| Maximum Drawdown | 61.9 | |||
| Value At Risk | (17.32) | |||
| Potential Upside | 32.4 |
Nine Mile Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Nine Mile's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nine Mile's standard deviation. In reality, there are many statistical measures that can use Nine Mile historical prices to predict the future Nine Mile's volatility.| Risk Adjusted Performance | 0.0333 | |||
| Jensen Alpha | 0.5866 | |||
| Total Risk Alpha | (1.61) | |||
| Sortino Ratio | 0.0208 | |||
| Treynor Ratio | (0.20) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nine Mile'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.
Nine Mile Metals Backtested Returns
Nine Mile appears to be out of control, given 3 months investment horizon. Nine Mile Metals has Sharpe Ratio of 0.0373, which conveys that the firm had a 0.0373% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Nine Mile, which you can use to evaluate the volatility of the firm. Please exercise Nine Mile's Downside Deviation of 11.14, risk adjusted performance of 0.0333, and Mean Deviation of 6.91 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Nine Mile holds a performance score of 2. The company secures a Beta (Market Risk) of -1.78, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Nine Mile are expected to decrease by larger amounts. On the other hand, during market turmoil, Nine Mile is expected to outperform it. Please check Nine Mile's value at risk, as well as the relationship between the skewness and day typical price , to make a quick decision on whether Nine Mile's current price movements will revert.
Auto-correlation | -0.09 |
Very weak reverse predictability
Nine Mile Metals has very weak reverse predictability. Overlapping area represents the amount of predictability between Nine Mile time series from 4th of June 2024 to 2nd of September 2024 and 2nd of September 2024 to 1st of December 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 Nine Mile Metals price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Nine Mile price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Nine Mile Metals lagged returns against current returns
Autocorrelation, which is Nine Mile 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 Nine Mile's pink sheet expected returns. We can calculate the autocorrelation of Nine Mile returns to help us make a trade decision. For example, suppose you find that Nine Mile 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 |
Nine Mile 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 Nine Mile pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nine Mile pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nine Mile pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Nine Mile Lagged Returns
When evaluating Nine Mile's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nine Mile pink sheet have on its future price. Nine Mile 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, Nine Mile autocorrelation shows the relationship between Nine Mile pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Nine Mile Metals.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Nine Pink Sheet
Nine Mile financial ratios help investors to determine whether Nine 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 Nine with respect to the benefits of owning Nine Mile security.