Electricity Generating (Thailand) Probability of Future Stock Price Finishing Over 124.00
| EGCO-R Stock | THB 124.00 0.50 0.40% |
Electricity |
Electricity Generating Target Price Odds to finish over 124.00
The tendency of Electricity 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 move above the current price in 90 days |
| 124.00 | 90 days | 124.00 | about 17.77 |
Based on a normal probability distribution, the odds of Electricity Generating to move above the current price in 90 days from now is about 17.77 (This Electricity Generating Public probability density function shows the probability of Electricity Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Electricity Generating has a beta of 0.0085 suggesting as returns on the market go up, Electricity Generating average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Electricity Generating Public will be expected to be much smaller as well. Additionally Electricity Generating Public has an alpha of 0.27, implying that it can generate a 0.27 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Electricity Generating Price Density |
| Price |
Predictive Modules for Electricity Generating
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electricity Generating. 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.Electricity Generating Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Electricity Generating is not an exception. The market had few large corrections towards the Electricity Generating'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 Electricity Generating Public, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Electricity Generating within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.27 | |
β | Beta against Dow Jones | 0.01 | |
σ | Overall volatility | 5.02 | |
Ir | Information ratio | 0.11 |
Electricity Generating 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 Electricity Stock often depends not only on the future outlook of the current and potential Electricity Generating'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. Electricity Generating's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 526.5 M |
Electricity Generating Technical Analysis
Electricity Generating's future price can be derived by breaking down and analyzing its technical indicators over time. Electricity Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Electricity Generating Public. In general, you should focus on analyzing Electricity Stock price patterns and their correlations with different microeconomic environments and drivers.
Electricity Generating Predictive Forecast Models
Electricity Generating's time-series forecasting models is one of many Electricity Generating'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 Electricity Generating'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 Electricity Generating 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, Electricity Generating's short interest history, or implied volatility extrapolated from Electricity Generating options trading.
Other Information on Investing in Electricity Stock
Electricity Generating financial ratios help investors to determine whether Electricity 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 Electricity with respect to the benefits of owning Electricity Generating security.