Applied DB (Thailand) Probability of Future Stock Price Finishing Over 0.88

ADB Stock  THB 0.88  0.02  2.22%   
Applied DB's future price is the expected price of Applied DB instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Applied DB Public performance during a given time horizon utilizing its historical volatility. Check out Applied DB Backtesting, Applied DB Valuation, Applied DB Correlation, Applied DB Hype Analysis, Applied DB Volatility, Applied DB History as well as Applied DB Performance.
  
Please specify Applied DB's target price for which you would like Applied DB odds to be computed.

Applied DB Target Price Odds to finish over 0.88

The tendency of Applied Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move above the current price in 90 days
 0.88 90 days 0.88 
about 69.15
Based on a normal probability distribution, the odds of Applied DB to move above the current price in 90 days from now is about 69.15 (This Applied DB Public probability density function shows the probability of Applied Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Applied DB has a beta of 0.0687. This suggests as returns on the market go up, Applied DB average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Applied DB Public will be expected to be much smaller as well. Additionally Applied DB Public has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Applied DB Price Density   
       Price  

Predictive Modules for Applied DB

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Applied DB Public. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
0.040.885.55
Details
Intrinsic
Valuation
LowRealHigh
0.040.765.43
Details
Naive
Forecast
LowNextHigh
0.020.785.45
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.150.871.59
Details

Applied DB Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Applied DB is not an exception. The market had few large corrections towards the Applied DB's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Applied DB Public, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Applied DB within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.43
β
Beta against Dow Jones0.07
σ
Overall volatility
0.10
Ir
Information ratio -0.1

Applied DB Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Applied DB for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Applied DB Public can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Applied DB Public generated a negative expected return over the last 90 days
Applied DB Public has some characteristics of a very speculative penny stock
Applied DB Public has high historical volatility and very poor performance
Applied DB Public has accumulated 43.56 Million in debt which can lead to volatile earnings
About 45.0% of the company shares are held by company insiders

Applied DB Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Applied Stock often depends not only on the future outlook of the current and potential Applied DB's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Applied DB's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding798.6 M

Applied DB Technical Analysis

Applied DB's future price can be derived by breaking down and analyzing its technical indicators over time. Applied Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Applied DB Public. In general, you should focus on analyzing Applied Stock price patterns and their correlations with different microeconomic environments and drivers.

Applied DB Predictive Forecast Models

Applied DB's time-series forecasting models is one of many Applied DB's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Applied DB's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about Applied DB Public

Checking the ongoing alerts about Applied DB for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Applied DB Public help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Applied DB Public generated a negative expected return over the last 90 days
Applied DB Public has some characteristics of a very speculative penny stock
Applied DB Public has high historical volatility and very poor performance
Applied DB Public has accumulated 43.56 Million in debt which can lead to volatile earnings
About 45.0% of the company shares are held by company insiders

Other Information on Investing in Applied Stock

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.