Food Moments (Thailand) Probability of Future Stock Price Finishing Under 3.96
| FM Stock | 3.84 0.08 2.04% |
Food |
Food Moments Target Price Odds to finish below 3.96
The tendency of Food 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 stay under 3.96 after 90 days |
| 3.84 | 90 days | 3.96 | about 5.65 |
Based on a normal probability distribution, the odds of Food Moments to stay under 3.96 after 90 days from now is about 5.65 (This Food Moments PCL probability density function shows the probability of Food Stock to fall within a particular range of prices over 90 days) . Probability of Food Moments PCL price to stay between its current price of 3.84 and 3.96 at the end of the 90-day period is under 4.
Assuming the 90 days horizon Food Moments PCL has a beta of -0.32. This usually indicates as returns on the benchmark increase, returns on holding Food Moments are expected to decrease at a much lower rate. During a bear market, however, Food Moments PCL is likely to outperform the market. Additionally Food Moments PCL 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. Food Moments Price Density |
| Price |
Predictive Modules for Food Moments
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Food Moments 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as Food Moments. Your research has to be compared to or analyzed against Food Moments' peers to derive any actionable benefits. When done correctly, Food Moments' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Food Moments PCL.Food Moments Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Food Moments is not an exception. The market had few large corrections towards the Food Moments' 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 Food Moments PCL, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Food Moments within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.23 | |
β | Beta against Dow Jones | -0.32 | |
σ | Overall volatility | 0.31 | |
Ir | Information ratio | -0.21 |
Food Moments 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 Food Moments for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Food Moments PCL can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Food Moments PCL generated a negative expected return over the last 90 days |
Food Moments Technical Analysis
Food Moments' future price can be derived by breaking down and analyzing its technical indicators over time. Food Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Food Moments PCL. In general, you should focus on analyzing Food Stock price patterns and their correlations with different microeconomic environments and drivers.
Food Moments Predictive Forecast Models
Food Moments' time-series forecasting models is one of many Food Moments' 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 Food Moments' 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 Food Moments PCL
Checking the ongoing alerts about Food Moments for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Food Moments PCL help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Food Moments PCL generated a negative expected return over the last 90 days |