AIC Mines' market value is the price at which a share of AIC Mines trades on a public exchange. It measures the collective expectations of AIC Mines Limited investors about its performance. AIC Mines is trading at 0.24 as of the 27th of July 2025. This is a 9.09 percent increase since the beginning of the trading day. The stock's lowest day price was 0.24. With this module, you can estimate the performance of a buy and hold strategy of AIC Mines Limited and determine expected loss or profit from investing in AIC Mines over a given investment horizon. Check out AIC Mines Correlation, AIC Mines Volatility and AIC Mines Alpha and Beta module to complement your research on AIC Mines.
Please note, there is a significant difference between AIC Mines' value and its price as these two are different measures arrived at by different means. Investors typically determine if AIC Mines is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AIC Mines' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
0.00
04/28/2025
No Change 0.00
0.0
In 3 months and 1 day
07/27/2025
0.00
If you would invest 0.00 in AIC Mines on April 28, 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.
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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as AIC Mines. Your research has to be compared to or analyzed against AIC Mines' peers to derive any actionable benefits. When done correctly, AIC Mines' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in AIC Mines Limited.
AIC Mines Limited Backtested Returns
AIC Mines appears to be out of control, given 3 months investment horizon. AIC Mines Limited retains Efficiency (Sharpe Ratio) of 0.043, which signifies that the company had a 0.043 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for AIC Mines, which you can use to evaluate the volatility of the firm. Please makes use of AIC Mines' coefficient of variation of 2328.15, and Market Risk Adjusted Performance of (0.64) to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AIC Mines holds a performance score of 3. The firm owns a Beta (Systematic Risk) of -0.41, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning AIC Mines are expected to decrease at a much lower rate. During the bear market, AIC Mines is likely to outperform the market. Please check AIC Mines' downside deviation, treynor ratio, expected short fall, as well as the relationship between the jensen alpha and potential upside , to make a quick decision on whether AIC Mines' current price history will revert.
Auto-correlation
-0.49
Modest reverse predictability
AIC Mines Limited has modest reverse predictability. Overlapping area represents the amount of predictability between AIC Mines time series from 28th of April 2025 to 12th of June 2025 and 12th of June 2025 to 27th of July 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 -0.49 indicates that about 49.0% of current AIC Mines price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.49
Spearman Rank Test
-0.27
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.
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.