Electronic City (Indonesia) Probability of Future Stock Price Finishing Under 286.0

ECII Stock  IDR 286.00  56.00  24.35%   
Electronic City's future price is the expected price of Electronic City 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 Electronic City Indonesia performance during a given time horizon utilizing its historical volatility. Check out Electronic City Backtesting, Electronic City Valuation, Electronic City Correlation, Electronic City Hype Analysis, Electronic City Volatility, Electronic City History as well as Electronic City Performance.
  
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Electronic City Target Price Odds to finish below 286.0

The tendency of Electronic 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 below current price in 90 days
 286.00 90 days 286.00 
roughly 97.0
Based on a normal probability distribution, the odds of Electronic City to move below current price in 90 days from now is roughly 97.0 (This Electronic City Indonesia probability density function shows the probability of Electronic Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon the stock has the beta coefficient of 1.01 suggesting Electronic City Indonesia market returns are very sensitive to returns on the market. As the market goes up or down, Electronic City is expected to follow. Additionally Electronic City Indonesia has an alpha of 0.2816, implying that it can generate a 0.28 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Electronic City Price Density   
       Price  

Predictive Modules for Electronic City

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electronic City Indonesia. 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
279.44286.00292.56
Details
Intrinsic
Valuation
LowRealHigh
230.12236.68314.60
Details
Naive
Forecast
LowNextHigh
312.51319.07325.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
126.70193.38260.05
Details

Electronic City Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Electronic City is not an exception. The market had few large corrections towards the Electronic City'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 Electronic City Indonesia, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Electronic City within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.28
β
Beta against Dow Jones1.01
σ
Overall volatility
32.08
Ir
Information ratio 0.04

Electronic City 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 Electronic City for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Electronic City Indonesia can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Electronic City had very high historical volatility over the last 90 days
About 53.0% of the company shares are held by company insiders

Electronic City 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 Electronic Stock often depends not only on the future outlook of the current and potential Electronic City'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. Electronic City's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding1.2 B
Cash And Short Term Investments743.1 B

Electronic City Technical Analysis

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

Electronic City Predictive Forecast Models

Electronic City's time-series forecasting models is one of many Electronic City'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 Electronic City'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 Electronic City Indonesia

Checking the ongoing alerts about Electronic City for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Electronic City Indonesia help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Electronic City had very high historical volatility over the last 90 days
About 53.0% of the company shares are held by company insiders

Other Information on Investing in Electronic Stock

Electronic City financial ratios help investors to determine whether Electronic 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 Electronic with respect to the benefits of owning Electronic City security.