CAC Consumer (France) Probability of Future Index Price Finishing Over 4677.74
| FRCG Index | 4,986 30.43 0.61% |
CAC Consumer Target Price Odds to finish over 4677.74
The tendency of CAC Index 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 above 4,678 in 90 days |
| 4,986 | 90 days | 4,678 | about 85.44 |
Based on a normal probability distribution, the odds of CAC Consumer to stay above 4,678 in 90 days from now is about 85.44 (This CAC Consumer Goods probability density function shows the probability of CAC Index to fall within a particular range of prices over 90 days) . Probability of CAC Consumer Goods price to stay between 4,678 and its current price of 4985.56 at the end of the 90-day period is about 56.49 .
CAC Consumer Price Density |
| Price |
Predictive Modules for CAC Consumer
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CAC Consumer Goods. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.CAC Consumer Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CAC Consumer is not an exception. The market had few large corrections towards the CAC Consumer'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 CAC Consumer Goods, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CAC Consumer within the framework of very fundamental risk indicators.CAC Consumer 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 CAC Consumer for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for CAC Consumer Goods can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| CAC Consumer Goods generated a negative expected return over the last 90 days |
CAC Consumer Technical Analysis
CAC Consumer's future price can be derived by breaking down and analyzing its technical indicators over time. CAC Index technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CAC Consumer Goods. In general, you should focus on analyzing CAC Index price patterns and their correlations with different microeconomic environments and drivers.
CAC Consumer Predictive Forecast Models
CAC Consumer's time-series forecasting models is one of many CAC Consumer's index 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 CAC Consumer'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 index market movement and maximize returns from investment trading.
Things to note about CAC Consumer Goods
Checking the ongoing alerts about CAC Consumer for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for CAC Consumer Goods help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| CAC Consumer Goods generated a negative expected return over the last 90 days |