Aic Mines Limited Stock Market Value
| IAUFF Stock | USD 0.21 0.01 5.00% |
| Symbol | AIC |
AIC 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 AIC 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 AIC Mines.
| 05/27/2025 |
| 08/25/2025 |
If you would invest 0.00 in AIC Mines on May 27, 2025 and sell it all today you would earn a total of 0.00 from holding AIC Mines Limited or generate 0.0% return on investment in AIC Mines over 90 days. AIC Mines is related to or competes with Vox Royalty, Endeavour Silver, IMPACT Silver, and Nicola Mining. AIC Mines Limited explores for and develops gold and copper deposits in Australia More
AIC 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 AIC 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 AIC Mines Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 15.64 | |||
| Information Ratio | (0.0008) | |||
| Maximum Drawdown | 38.48 | |||
| Value At Risk | (13.04) | |||
| Potential Upside | 10.53 |
AIC Mines Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AIC Mines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AIC Mines' standard deviation. In reality, there are many statistical measures that can use AIC Mines historical prices to predict the future AIC Mines' volatility.| Risk Adjusted Performance | 0.0197 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.77) | |||
| Sortino Ratio | (0.0003) | |||
| Treynor Ratio | 0.0558 |
AIC Mines Limited Backtested Returns
At this point, AIC Mines is out of control. AIC Mines Limited retains Efficiency (Sharpe Ratio) of 0.015, which signifies that the company had a 0.015 % return per unit of risk over the last 3 months. We have found thirty technical indicators for AIC Mines, which you can use to evaluate the volatility of the firm. Please confirm AIC Mines' coefficient of variation of 6837.81, and Market Risk Adjusted Performance of 0.0658 to double-check if the risk estimate we provide is consistent with the expected return of 0.1%. AIC Mines has a performance score of 1 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of 1.6, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, AIC Mines will likely underperform. AIC Mines Limited at this moment owns a risk of 6.93%. Please confirm AIC Mines Limited treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to decide if AIC Mines Limited will be following its current price history.
Auto-correlation | -0.19 |
Insignificant reverse predictability
AIC Mines Limited has insignificant reverse predictability. Overlapping area represents the amount of predictability between AIC Mines time series from 27th of May 2025 to 11th of July 2025 and 11th of July 2025 to 25th of August 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 AIC Mines Limited price movement. The serial correlation of -0.19 indicates that over 19.0% of current AIC Mines price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AIC Mines Limited lagged returns against current returns
Autocorrelation, which is AIC 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 AIC Mines' pink sheet expected returns. We can calculate the autocorrelation of AIC Mines returns to help us make a trade decision. For example, suppose you find that AIC 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 |
AIC 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 AIC Mines pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AIC 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 AIC Mines pink sheet over time.
Current vs Lagged Prices |
| Timeline |
AIC Mines Lagged Returns
When evaluating AIC Mines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AIC Mines pink sheet have on its future price. AIC 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, AIC Mines autocorrelation shows the relationship between AIC Mines pink sheet current value and its past values and can show if there is a momentum factor associated with investing in AIC Mines Limited.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in AIC Pink Sheet
AIC Mines financial ratios help investors to determine whether AIC 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 AIC with respect to the benefits of owning AIC Mines security.