Applied DB (Thailand) Market Value
| ADB Stock | THB 0.82 0.01 1.23% |
| Symbol | Applied |
Applied DB '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 Applied DB'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 Applied DB.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Applied DB on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Applied DB Public or generate 0.0% return on investment in Applied DB over 30 days. Applied DB is related to or competes with AIRA Factoring, Ama Marine, Asia Biomass, and Akkhie Prakarn. Applied DB Public Company Limited manufactures and distributes plastic compounds, adhesives, and sealants in Thailand, N... More
Applied DB 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 Applied DB'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 Applied DB Public upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.81 | |||
| Information Ratio | 0.0567 | |||
| Maximum Drawdown | 25.57 | |||
| Value At Risk | (6.72) | |||
| Potential Upside | 10.53 |
Applied DB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Applied DB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Applied DB's standard deviation. In reality, there are many statistical measures that can use Applied DB historical prices to predict the future Applied DB's volatility.| Risk Adjusted Performance | 0.0721 | |||
| Jensen Alpha | 0.3011 | |||
| Total Risk Alpha | (0.33) | |||
| Sortino Ratio | 0.0558 | |||
| Treynor Ratio | 0.5335 |
Applied DB Public Backtested Returns
Applied DB is out of control given 3 months investment horizon. Applied DB Public secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11% return per unit of risk over the last 3 months. We have analyzed twenty-eight different technical indicators, which can help you to evaluate if expected returns of 14.43% are justified by taking the suggested risk. Use Applied DB Risk Adjusted Performance of 0.0721, downside deviation of 4.81, and Mean Deviation of 3.4 to evaluate company specific risk that cannot be diversified away. Applied DB holds a performance score of 8 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.72, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Applied DB's returns are expected to increase less than the market. However, during the bear market, the loss of holding Applied DB is expected to be smaller as well. Use Applied DB total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to analyze future returns on Applied DB.
Auto-correlation | 0.39 |
Below average predictability
Applied DB Public has below average predictability. Overlapping area represents the amount of predictability between Applied DB time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Applied DB Public price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Applied DB price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Applied DB Public lagged returns against current returns
Autocorrelation, which is Applied DB 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 Applied DB's stock expected returns. We can calculate the autocorrelation of Applied DB returns to help us make a trade decision. For example, suppose you find that Applied DB 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 |
Applied DB 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 Applied DB stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Applied DB stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Applied DB stock over time.
Current vs Lagged Prices |
| Timeline |
Applied DB Lagged Returns
When evaluating Applied DB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Applied DB stock have on its future price. Applied DB 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, Applied DB autocorrelation shows the relationship between Applied DB stock current value and its past values and can show if there is a momentum factor associated with investing in Applied DB Public.
Regressed Prices |
| Timeline |
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Applied DB financial ratios help investors to determine whether Applied 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 Applied with respect to the benefits of owning Applied DB security.