Fast Retailing (Germany) Probability of Future Stock Price Finishing Over 244.80
| FR7 Stock | EUR 244.80 10.30 4.04% |
Fast |
Fast Retailing Target Price Odds to finish over 244.80
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 above the current price in 90 days |
| 244.80 | 90 days | 244.80 | about 60.81 |
Based on a normal probability distribution, the odds of Fast Retailing to move above the current price in 90 days from now is about 60.81 (This Fast Retailing Co probability density function shows the probability of Fast 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 1.27 . This usually indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Fast Retailing will likely underperform. Moreover Fast Retailing Co has an alpha of 1.5243, implying that it can generate a 1.52 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Fast Retailing Price Density |
| Price |
Predictive Modules for Fast Retailing
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 Retailing. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fast Retailing's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Fast Retailing Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Fast Retailing is not an exception. The market had few large corrections towards the Fast Retailing'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 Retailing Co, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Fast Retailing within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 1.52 | |
β | Beta against NYSE Composite | 1.27 | |
σ | Overall volatility | 31.13 | |
Ir | Information ratio | 0.07 |
Fast Retailing 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 Retailing for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Fast Retailing 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 Retailing is way too risky over 90 days horizon | |
| Fast Retailing appears to be risky and price may revert if volatility continues |
Fast Retailing 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 Retailing'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 Retailing's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 102.2 M | |
| Short Long Term Debt | 130 B |
Fast Retailing Technical Analysis
Fast Retailing'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 Retailing Co. In general, you should focus on analyzing Fast Stock price patterns and their correlations with different microeconomic environments and drivers.
Fast Retailing Predictive Forecast Models
Fast Retailing's time-series forecasting models is one of many Fast Retailing'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 Retailing'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 Retailing
Checking the ongoing alerts about Fast Retailing for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Fast Retailing help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Fast Retailing is way too risky over 90 days horizon | |
| Fast Retailing appears to be risky and price may revert if volatility continues |
Check out Fast Retailing Backtesting, Fast Retailing Valuation, Fast Retailing Correlation, Fast Retailing Hype Analysis, Fast Retailing Volatility, Fast Retailing History as well as Fast Retailing Performance. Note that the Fast Retailing information on this page should be used as a complementary analysis to other Fast Retailing's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Complementary Tools for Fast Stock analysis
When running Fast Retailing's price analysis, check to measure Fast Retailing's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fast Retailing is operating at the current time. Most of Fast Retailing's value examination focuses on studying past and present price action to predict the probability of Fast Retailing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fast Retailing's price. Additionally, you may evaluate how the addition of Fast Retailing to your portfolios can decrease your overall portfolio volatility.
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