Australian Mines Limited Stock Market Value
| AMSLF Stock | USD 0.01 0 21.87% |
| Symbol | Australian |
Australian Mines '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 Australian Mines' 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 Australian Mines.
| 08/30/2025 |
| 11/28/2025 |
If you would invest 0.00 in Australian Mines on August 30, 2025 and sell it all today you would earn a total of 0.00 from holding Australian Mines Limited or generate 0.0% return on investment in Australian Mines over 90 days. Australian Mines is related to or competes with Hyatt Hotels, HPQ-Silicon Resources, Westlake Chemical, Pebblebrook Hotel, Hoteles City, and X-FAB Silicon. Australian Mines Limited engages in the mining and exploration of mineral properties in Australia More
Australian Mines 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 Australian Mines' 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 Australian Mines Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 23.46 | |||
| Information Ratio | 0.1344 | |||
| Maximum Drawdown | 102.9 | |||
| Value At Risk | (30.00) | |||
| Potential Upside | 53.85 |
Australian Mines Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Australian Mines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Australian Mines' standard deviation. In reality, there are many statistical measures that can use Australian Mines historical prices to predict the future Australian Mines' volatility.| Risk Adjusted Performance | 0.1029 | |||
| Jensen Alpha | 3.25 | |||
| Total Risk Alpha | 1.21 | |||
| Sortino Ratio | 0.1338 | |||
| Treynor Ratio | (3.37) |
Australian Mines Backtested Returns
Australian Mines is out of control given 3 months investment horizon. Australian Mines secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14 % return per unit of risk over the last 3 months. We were able to break down and interpolate twenty-seven different technical indicators, which can help you to evaluate if expected returns of 3.31% are justified by taking the suggested risk. Use Australian Mines Downside Deviation of 23.46, mean deviation of 13.9, and Risk Adjusted Performance of 0.1029 to evaluate company specific risk that cannot be diversified away. Australian Mines holds a performance score of 11 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -0.95, which signifies possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Australian Mines are expected to decrease slowly. On the other hand, during market turmoil, Australian Mines is expected to outperform it slightly. Use Australian Mines treynor ratio and the relationship between the downside variance and day typical price , to analyze future returns on Australian Mines.
Auto-correlation | -0.27 |
Weak reverse predictability
Australian Mines Limited has weak reverse predictability. Overlapping area represents the amount of predictability between Australian Mines time series from 30th of August 2025 to 14th of October 2025 and 14th of October 2025 to 28th of November 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 Australian Mines price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Australian Mines price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Australian Mines lagged returns against current returns
Autocorrelation, which is Australian Mines 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 Australian Mines' pink sheet expected returns. We can calculate the autocorrelation of Australian Mines returns to help us make a trade decision. For example, suppose you find that Australian Mines 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 |
Australian Mines 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 Australian Mines pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Australian Mines pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Australian Mines pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Australian Mines Lagged Returns
When evaluating Australian Mines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Australian Mines pink sheet have on its future price. Australian Mines 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, Australian Mines autocorrelation shows the relationship between Australian Mines pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Australian Mines Limited.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Australian Pink Sheet
Australian Mines financial ratios help investors to determine whether Australian 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 Australian with respect to the benefits of owning Australian Mines security.