Aluminum Of Stock Market Value
| ALMMF Stock | USD 0.55 0.02 3.77% |
| Symbol | Aluminum |
Aluminum '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 Aluminum's 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 Aluminum.
| 11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in Aluminum on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding Aluminum of or generate 0.0% return on investment in Aluminum over 30 days. Aluminum is related to or competes with Kaiser Aluminum, Century Aluminum, Constellium, and Alcoa Corp. Aluminum Corporation of China Limited, together with its subsidiaries, manufactures and sells alumina, primary aluminum,... More
Aluminum 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 Aluminum's 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 Aluminum of upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.25 | |||
| Information Ratio | 0.0185 | |||
| Maximum Drawdown | 29.02 | |||
| Value At Risk | (8.62) | |||
| Potential Upside | 8.77 |
Aluminum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aluminum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aluminum's standard deviation. In reality, there are many statistical measures that can use Aluminum historical prices to predict the future Aluminum's volatility.| Risk Adjusted Performance | 0.0282 | |||
| Jensen Alpha | 0.0801 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0126 | |||
| Treynor Ratio | 0.0756 |
Aluminum Backtested Returns
Aluminum secures Sharpe Ratio (or Efficiency) of -0.0192, which signifies that the company had a -0.0192% return per unit of risk over the last 3 months. Aluminum of exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Aluminum's Downside Deviation of 7.25, mean deviation of 3.35, and Risk Adjusted Performance of 0.0282 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.5, 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, Aluminum will likely underperform. At this point, Aluminum has a negative expected return of -0.0949%. Please make sure to confirm Aluminum's maximum drawdown and the relationship between the semi variance and price action indicator , to decide if Aluminum performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.74 |
Good predictability
Aluminum of has good predictability. Overlapping area represents the amount of predictability between Aluminum 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 Aluminum price movement. The serial correlation of 0.74 indicates that around 74.0% of current Aluminum price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Aluminum lagged returns against current returns
Autocorrelation, which is Aluminum 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 Aluminum's pink sheet expected returns. We can calculate the autocorrelation of Aluminum returns to help us make a trade decision. For example, suppose you find that Aluminum 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 |
Aluminum 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 Aluminum pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aluminum pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aluminum pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Aluminum Lagged Returns
When evaluating Aluminum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aluminum pink sheet have on its future price. Aluminum 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, Aluminum autocorrelation shows the relationship between Aluminum pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Aluminum of.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Aluminum Pink Sheet
Aluminum financial ratios help investors to determine whether Aluminum 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 Aluminum with respect to the benefits of owning Aluminum security.