Betagro PCL (Thailand) Probability of Future Stock Price Finishing Under 16.94
| BTG Stock | 19.50 0.10 0.51% |
Betagro |
Betagro PCL Target Price Odds to finish below 16.94
The tendency of Betagro 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 Price | Horizon | Target Price | Odds to drop to 16.94 or more in 90 days |
| 19.50 | 90 days | 16.94 | about 16.78 |
Based on a normal probability distribution, the odds of Betagro PCL to drop to 16.94 or more in 90 days from now is about 16.78 (This Betagro PCL probability density function shows the probability of Betagro Stock to fall within a particular range of prices over 90 days) . Probability of Betagro PCL price to stay between 16.94 and its current price of 19.5 at the end of the 90-day period is about 79.44 .
Assuming the 90 days trading horizon Betagro PCL has a beta of 0.28 suggesting as returns on the market go up, Betagro PCL average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Betagro PCL will be expected to be much smaller as well. Additionally Betagro PCL has an alpha of 0.1282, implying that it can generate a 0.13 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Betagro PCL Price Density |
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Predictive Modules for Betagro PCL
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Betagro PCL. 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.Betagro PCL Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Betagro PCL is not an exception. The market had few large corrections towards the Betagro PCL'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 Betagro PCL, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Betagro PCL within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.13 | |
β | Beta against Dow Jones | 0.28 | |
σ | Overall volatility | 0.93 | |
Ir | Information ratio | 0.13 |
Betagro PCL Technical Analysis
Betagro PCL's future price can be derived by breaking down and analyzing its technical indicators over time. Betagro Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Betagro PCL. In general, you should focus on analyzing Betagro Stock price patterns and their correlations with different microeconomic environments and drivers.
Betagro PCL Predictive Forecast Models
Betagro PCL's time-series forecasting models is one of many Betagro PCL'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 Betagro PCL'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Betagro PCL in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Betagro PCL's short interest history, or implied volatility extrapolated from Betagro PCL options trading.