ALS (Australia) Market Value
| ALQ Stock | 15.95 0.11 0.69% |
| Symbol | ALS |
ALS '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 ALS'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 ALS.
| 08/29/2024 |
| 11/27/2024 |
If you would invest 0.00 in ALS on August 29, 2024 and sell it all today you would earn a total of 0.00 from holding ALS or generate 0.0% return on investment in ALS over 90 days. ALS is related to or competes with MFF Capital, Argo Investments, BlackWall Property, Garda Diversified, Hotel Property, and Flagship Investments. More
ALS 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 ALS'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 ALS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.93 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 11.22 | |||
| Value At Risk | (2.46) | |||
| Potential Upside | 2.68 |
ALS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ALS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ALS's standard deviation. In reality, there are many statistical measures that can use ALS historical prices to predict the future ALS's volatility.| Risk Adjusted Performance | 0.038 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.22) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.1004 |
ALS Backtested Returns
Currently, ALS is not too volatile. ALS secures Sharpe Ratio (or Efficiency) of 0.0421, which signifies that the company had a 0.0421% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for ALS, which you can use to evaluate the volatility of the firm. Please confirm ALS's risk adjusted performance of 0.038, and Mean Deviation of 1.23 to double-check if the risk estimate we provide is consistent with the expected return of 0.0765%. ALS has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.66, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, ALS's returns are expected to increase less than the market. However, during the bear market, the loss of holding ALS is expected to be smaller as well. ALS now shows a risk of 1.82%. Please confirm ALS sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to decide if ALS will be following its price patterns.
Auto-correlation | -0.35 |
Poor reverse predictability
ALS has poor reverse predictability. Overlapping area represents the amount of predictability between ALS time series from 29th of August 2024 to 13th of October 2024 and 13th of October 2024 to 27th of November 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 ALS price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current ALS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.44 |
ALS lagged returns against current returns
Autocorrelation, which is ALS 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 ALS's stock expected returns. We can calculate the autocorrelation of ALS returns to help us make a trade decision. For example, suppose you find that ALS 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 |
ALS 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 ALS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ALS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ALS stock over time.
Current vs Lagged Prices |
| Timeline |
ALS Lagged Returns
When evaluating ALS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ALS stock have on its future price. ALS 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, ALS autocorrelation shows the relationship between ALS stock current value and its past values and can show if there is a momentum factor associated with investing in ALS.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for ALS Stock Analysis
When running ALS's price analysis, check to measure ALS'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 ALS is operating at the current time. Most of ALS's value examination focuses on studying past and present price action to predict the probability of ALS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ALS's price. Additionally, you may evaluate how the addition of ALS to your portfolios can decrease your overall portfolio volatility.