FAST RETAIL (Germany) Probability of Future Stock Price Finishing Under 28.6
| FR70 Stock | EUR 30.80 0.40 1.28% |
FAST |
FAST RETAIL Target Price Odds to finish below 28.6
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 drop to € 28.60 or more in 90 days |
| 30.80 | 90 days | 28.60 | about 29.0 |
Based on a normal probability distribution, the odds of FAST RETAIL to drop to € 28.60 or more in 90 days from now is about 29.0 (This FAST RETAIL ADR probability density function shows the probability of FAST Stock to fall within a particular range of prices over 90 days) . Probability of FAST RETAIL ADR price to stay between € 28.60 and its current price of €30.8 at the end of the 90-day period is about 53.4 .
Assuming the 90 days trading horizon FAST RETAIL has a beta of 0.39. This usually indicates as returns on the market go up, FAST RETAIL average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding FAST RETAIL ADR will be expected to be much smaller as well. Additionally FAST RETAIL ADR has an alpha of 0.1038, implying that it can generate a 0.1 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). FAST RETAIL Price Density |
| Price |
Predictive Modules for FAST RETAIL
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 RETAIL ADR. 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 RETAIL Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. FAST RETAIL is not an exception. The market had few large corrections towards the FAST RETAIL'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 RETAIL ADR, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of FAST RETAIL within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.10 | |
β | Beta against Dow Jones | 0.39 | |
σ | Overall volatility | 1.48 | |
Ir | Information ratio | 0.02 |
FAST RETAIL Technical Analysis
FAST RETAIL'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 RETAIL ADR. In general, you should focus on analyzing FAST Stock price patterns and their correlations with different microeconomic environments and drivers.
FAST RETAIL Predictive Forecast Models
FAST RETAIL's time-series forecasting models is one of many FAST RETAIL'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 RETAIL'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 FAST RETAIL 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, FAST RETAIL's short interest history, or implied volatility extrapolated from FAST RETAIL options trading.
Other Information on Investing in FAST Stock
FAST RETAIL 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 RETAIL security.