Clean Air Metals Stock Market Value
| AIR Stock | 0.06 0.01 10.00% |
| Symbol | Clean |
Clean Air Metals Price To Book Ratio
Clean Air '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 Clean Air's 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 Clean Air.
| 09/03/2024 |
| 01/01/2025 |
If you would invest 0.00 in Clean Air on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Clean Air Metals or generate 0.0% return on investment in Clean Air over 120 days. Clean Air is related to or competes with Generation Mining, Stillwater Critical, AbraSilver Resource, and Cassiar Gold. Clean Air is entity of Canada. It is traded as Stock on V exchange. More
Clean Air 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 Clean Air's 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 Clean Air Metals upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 28.57 | |||
| Value At Risk | (10.00) | |||
| Potential Upside | 10.0 |
Clean Air Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Air's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Air's standard deviation. In reality, there are many statistical measures that can use Clean Air historical prices to predict the future Clean Air's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (0.07) |
Clean Air Metals Backtested Returns
Clean Air Metals secures Sharpe Ratio (or Efficiency) of -0.032, which signifies that the company had a -0.032% return per unit of standard deviation over the last 3 months. Clean Air Metals exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Air's risk adjusted performance of (0), and Mean Deviation of 6.06 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.43, 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, Clean Air will likely underperform. At this point, Clean Air Metals has a negative expected return of -0.24%. Please make sure to confirm Clean Air's jensen alpha and the relationship between the value at risk and day typical price , to decide if Clean Air Metals performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.79 |
Almost perfect reverse predictability
Clean Air Metals has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Clean Air time series from 3rd of September 2024 to 2nd of November 2024 and 2nd of November 2024 to 1st of January 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 Clean Air Metals price movement. The serial correlation of -0.79 indicates that around 79.0% of current Clean Air price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.79 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Clean Air Metals lagged returns against current returns
Autocorrelation, which is Clean Air 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 Clean Air's stock expected returns. We can calculate the autocorrelation of Clean Air returns to help us make a trade decision. For example, suppose you find that Clean Air 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 |
Clean Air 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 Clean Air stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Air stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Air stock over time.
Current vs Lagged Prices |
| Timeline |
Clean Air Lagged Returns
When evaluating Clean Air's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Air stock have on its future price. Clean Air 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, Clean Air autocorrelation shows the relationship between Clean Air stock current value and its past values and can show if there is a momentum factor associated with investing in Clean Air Metals.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Clean Stock Analysis
When running Clean Air's price analysis, check to measure Clean Air's 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 Clean Air is operating at the current time. Most of Clean Air's value examination focuses on studying past and present price action to predict the probability of Clean Air's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Air's price. Additionally, you may evaluate how the addition of Clean Air to your portfolios can decrease your overall portfolio volatility.