Fast Food (Indonesia) Probability of Future Stock Price Finishing Over 326.08
| FAST Stock | IDR 324.00 2.00 0.62% |
Fast |
Fast Food Target Price Odds to finish over 326.08
The tendency of Fast 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 over 326.08 or more in 90 days |
| 324.00 | 90 days | 326.08 | over 95.95 |
Based on a normal probability distribution, the odds of Fast Food to move over 326.08 or more in 90 days from now is over 95.95 (This Fast Food Indonesia probability density function shows the probability of Fast Stock to fall within a particular range of prices over 90 days) . Probability of Fast Food Indonesia price to stay between its current price of 324.00 and 326.08 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Fast Food Indonesia has a beta of -0.92. This usually indicates Additionally Fast Food Indonesia 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. Fast Food Price Density |
| Price |
Predictive Modules for Fast Food
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fast Food 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.Fast Food Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Fast Food is not an exception. The market had few large corrections towards the Fast Food'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 Fast Food Indonesia, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Fast Food within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.39 | |
β | Beta against Dow Jones | -0.92 | |
σ | Overall volatility | 51.92 | |
Ir | Information ratio | -0.3 |
Fast Food 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 Fast Food for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Fast Food 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.| Fast Food Indonesia generated a negative expected return over the last 90 days | |
| The company reported the revenue of 4.84 T. Net Loss for the year was (295.74 B) with profit before overhead, payroll, taxes, and interest of 2.84 T. | |
| Fast Food generates negative cash flow from operations | |
| About 76.0% of the company shares are held by company insiders |
Fast Food 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 Fast Stock often depends not only on the future outlook of the current and potential Fast Food'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. Fast Food's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 4 B | |
| Cash And Short Term Investments | 601 B |
Fast Food Technical Analysis
Fast Food's future price can be derived by breaking down and analyzing its technical indicators over time. Fast Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fast Food Indonesia. In general, you should focus on analyzing Fast Stock price patterns and their correlations with different microeconomic environments and drivers.
Fast Food Predictive Forecast Models
Fast Food's time-series forecasting models is one of many Fast Food'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 Fast Food'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 Fast Food Indonesia
Checking the ongoing alerts about Fast Food for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Fast Food Indonesia help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Fast Food Indonesia generated a negative expected return over the last 90 days | |
| The company reported the revenue of 4.84 T. Net Loss for the year was (295.74 B) with profit before overhead, payroll, taxes, and interest of 2.84 T. | |
| Fast Food generates negative cash flow from operations | |
| About 76.0% of the company shares are held by company insiders |
Other Information on Investing in Fast Stock
Fast Food financial ratios help investors to determine whether Fast 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 Fast with respect to the benefits of owning Fast Food security.