Jason Furniture (China) Probability of Future Stock Price Finishing Over 45.69

603816 Stock   27.77  0.16  0.57%   
Jason Furniture's future price is the expected price of Jason Furniture instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Jason Furniture performance during a given time horizon utilizing its historical volatility. Check out Jason Furniture Backtesting, Jason Furniture Valuation, Jason Furniture Correlation, Jason Furniture Hype Analysis, Jason Furniture Volatility, Jason Furniture History as well as Jason Furniture Performance.
  
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Jason Furniture Target Price Odds to finish over 45.69

The tendency of Jason 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 PriceHorizonTarget PriceOdds to move over  45.69  or more in 90 days
 27.77 90 days 45.69 
near 1
Based on a normal probability distribution, the odds of Jason Furniture to move over  45.69  or more in 90 days from now is near 1 (This Jason Furniture probability density function shows the probability of Jason Stock to fall within a particular range of prices over 90 days) . Probability of Jason Furniture price to stay between its current price of  27.77  and  45.69  at the end of the 90-day period is about 76.03 .
Assuming the 90 days trading horizon Jason Furniture has a beta of -0.15. This suggests as returns on the benchmark increase, returns on holding Jason Furniture are expected to decrease at a much lower rate. During a bear market, however, Jason Furniture is likely to outperform the market. Additionally Jason Furniture has an alpha of 0.3656, implying that it can generate a 0.37 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Jason Furniture Price Density   
       Price  

Predictive Modules for Jason Furniture

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jason Furniture. 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.
Hype
Prediction
LowEstimatedHigh
24.6727.6630.65
Details
Intrinsic
Valuation
LowRealHigh
21.5324.5230.55
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details

Jason Furniture Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Jason Furniture is not an exception. The market had few large corrections towards the Jason Furniture'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 Jason Furniture, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Jason Furniture within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.37
β
Beta against Dow Jones-0.15
σ
Overall volatility
2.46
Ir
Information ratio 0.1

Jason Furniture 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 Jason Furniture for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Jason Furniture can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Jason Furniture generated a negative expected return over the last 90 days
About 56.0% of the company shares are owned by insiders or employees
Latest headline from news.google.com: Lawmakers, Executives Take Stock of Next Trump Term, at WSJ CEO Council - The Wall Street Journal

Jason Furniture 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 Jason Stock often depends not only on the future outlook of the current and potential Jason Furniture'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. Jason Furniture's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding821.9 M

Jason Furniture Technical Analysis

Jason Furniture's future price can be derived by breaking down and analyzing its technical indicators over time. Jason Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Jason Furniture. In general, you should focus on analyzing Jason Stock price patterns and their correlations with different microeconomic environments and drivers.

Jason Furniture Predictive Forecast Models

Jason Furniture's time-series forecasting models is one of many Jason Furniture'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 Jason Furniture'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 Jason Furniture

Checking the ongoing alerts about Jason Furniture for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Jason Furniture help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Jason Furniture generated a negative expected return over the last 90 days
About 56.0% of the company shares are owned by insiders or employees
Latest headline from news.google.com: Lawmakers, Executives Take Stock of Next Trump Term, at WSJ CEO Council - The Wall Street Journal

Other Information on Investing in Jason Stock

Jason Furniture financial ratios help investors to determine whether Jason 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 Jason with respect to the benefits of owning Jason Furniture security.