Asia Biomass (Thailand) Market Value
| ABM Stock | THB 1.11 0.01 0.91% |
| Symbol | Asia |
Asia Biomass '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 Asia Biomass' 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 Asia Biomass.
| 01/05/2023 |
| 12/25/2024 |
If you would invest 0.00 in Asia Biomass on January 5, 2023 and sell it all today you would earn a total of 0.00 from holding Asia Biomass Public or generate 0.0% return on investment in Asia Biomass over 720 days. Asia Biomass is related to or competes with Akkhie Prakarn, AIRA Factoring, G Capital, and Asia Green. Asia Biomass Public Company Limited, through its subsidiaries, trades in biomass in Asia More
Asia Biomass 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 Asia Biomass' 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 Asia Biomass Public upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 13.93 | |||
| Value At Risk | (2.33) | |||
| Potential Upside | 1.59 |
Asia Biomass Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Asia Biomass' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Asia Biomass' standard deviation. In reality, there are many statistical measures that can use Asia Biomass historical prices to predict the future Asia Biomass' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | 1.11 |
Asia Biomass Public Backtested Returns
Asia Biomass Public secures Sharpe Ratio (or Efficiency) of -0.13, which signifies that the company had a -0.13% return per unit of risk over the last 3 months. Asia Biomass Public exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Asia Biomass' Standard Deviation of 1.81, risk adjusted performance of (0.08), and Mean Deviation of 1.03 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.18, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Asia Biomass are expected to decrease at a much lower rate. During the bear market, Asia Biomass is likely to outperform the market. At this point, Asia Biomass Public has a negative expected return of -0.24%. Please make sure to confirm Asia Biomass' standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if Asia Biomass Public performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.08 |
Virtually no predictability
Asia Biomass Public has virtually no predictability. Overlapping area represents the amount of predictability between Asia Biomass time series from 5th of January 2023 to 31st of December 2023 and 31st of December 2023 to 25th 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 Asia Biomass Public price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Asia Biomass price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Asia Biomass Public lagged returns against current returns
Autocorrelation, which is Asia Biomass 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 Asia Biomass' stock expected returns. We can calculate the autocorrelation of Asia Biomass returns to help us make a trade decision. For example, suppose you find that Asia Biomass 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 |
Asia Biomass 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 Asia Biomass stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Asia Biomass stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Asia Biomass stock over time.
Current vs Lagged Prices |
| Timeline |
Asia Biomass Lagged Returns
When evaluating Asia Biomass' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Asia Biomass stock have on its future price. Asia Biomass 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, Asia Biomass autocorrelation shows the relationship between Asia Biomass stock current value and its past values and can show if there is a momentum factor associated with investing in Asia Biomass Public.
Regressed Prices |
| Timeline |
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Asia Biomass financial ratios help investors to determine whether Asia Stock 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 Asia with respect to the benefits of owning Asia Biomass security.