AIC Mines (Australia) Market Value
| A1M Stock | 0.33 0.01 3.13% |
| 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' 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 AIC Mines.
| 11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in AIC Mines on November 21, 2024 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 30 days. AIC Mines is related to or competes with Northern Star, Evolution Mining, Bluescope Steel, Sandfire Resources, De Grey, Aneka Tambang, and Perseus Mining. AIC Mines is entity of Australia. It is traded as Stock on AU exchange. 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' 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 AIC Mines Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.71 | |||
| Information Ratio | 0.0096 | |||
| Maximum Drawdown | 16.68 | |||
| Value At Risk | (5.26) | |||
| Potential Upside | 8.57 |
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 | 0.0223 | |||
| Jensen Alpha | 0.0595 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0098 | |||
| Treynor Ratio | (1.45) |
AIC Mines Limited Backtested Returns
Currently, AIC Mines Limited is out of control. AIC Mines Limited retains Efficiency (Sharpe Ratio) of 0.0305, which signifies that the company had a 0.0305% 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 5501.24, and Market Risk Adjusted Performance of (1.44) to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. AIC Mines has a performance score of 2 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of -0.0404, which signifies not very significant fluctuations relative to the market. 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. AIC Mines Limited at this moment owns a risk of 3.75%. Please confirm AIC Mines Limited market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to decide if AIC Mines Limited will be following its current price history.
Auto-correlation | -0.16 |
Insignificant reverse predictability
AIC Mines Limited has insignificant reverse predictability. Overlapping area represents the amount of predictability between AIC Mines time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st 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 AIC Mines Limited price movement. The serial correlation of -0.16 indicates that over 16.0% of current AIC Mines price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AIC Mines Limited lagged returns against current returns
Autocorrelation, which is AIC Mines 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 AIC Mines' stock 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 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 |
| 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AIC Mines stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AIC Mines stock 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 stock 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 stock 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 |
Thematic Opportunities
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Additional Tools for AIC Stock Analysis
When running AIC Mines' price analysis, check to measure AIC Mines' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy AIC Mines is operating at the current time. Most of AIC Mines' value examination focuses on studying past and present price action to predict the probability of AIC Mines' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AIC Mines' price. Additionally, you may evaluate how the addition of AIC Mines to your portfolios can decrease your overall portfolio volatility.