Fast Retailing Co Stock Probability of Future Pink Sheet Price Finishing Under 33.48
| FRCOY Stock | USD 33.67 0.03 0.09% |
Fast |
Fast Retailing Target Price Odds to finish below 33.48
The tendency of Fast Pink Sheet 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 $ 33.48 or more in 90 days |
| 33.67 | 90 days | 33.48 | about 45.07 |
Based on a normal probability distribution, the odds of Fast Retailing to drop to $ 33.48 or more in 90 days from now is about 45.07 (This Fast Retailing Co probability density function shows the probability of Fast Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Fast Retailing price to stay between $ 33.48 and its current price of $33.67 at the end of the 90-day period is about 5.52 .
Assuming the 90 days horizon Fast Retailing has a beta of 0.0346. This usually indicates as returns on the market go up, Fast Retailing average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Fast Retailing Co will be expected to be much smaller as well. Additionally Fast Retailing Co has an alpha of 0.0037, implying that it can generate a 0.003743 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Fast Retailing Price Density |
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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 pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 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 Dow Jones | 0 | |
β | Beta against Dow Jones | 0.03 | |
σ | Overall volatility | 1.37 | |
Ir | Information ratio | -0.02 |
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 Pink Sheet 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 |
Fast Retailing Technical Analysis
Fast Retailing's future price can be derived by breaking down and analyzing its technical indicators over time. Fast Pink Sheet 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 Pink Sheet 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 pink sheet 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 pink sheet 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 Retailing 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 Retailing's short interest history, or implied volatility extrapolated from Fast Retailing options trading.
Additional Tools for Fast Pink Sheet 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.