Ching Feng (Taiwan) Probability of Future Stock Price Finishing Under 34.6

9935 Stock  TWD 29.50  0.25  0.84%   
Ching Feng's future price is the expected price of Ching Feng 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 Ching Feng Home performance during a given time horizon utilizing its historical volatility. Check out Ching Feng Backtesting, Ching Feng Valuation, Ching Feng Correlation, Ching Feng Hype Analysis, Ching Feng Volatility, Ching Feng History as well as Ching Feng Performance.
  
Please specify Ching Feng's target price for which you would like Ching Feng odds to be computed.

Ching Feng Target Price Odds to finish below 34.6

The tendency of Ching 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 stay under NT$ 34.60  after 90 days
 29.50 90 days 34.60 
about 82.72
Based on a normal probability distribution, the odds of Ching Feng to stay under NT$ 34.60  after 90 days from now is about 82.72 (This Ching Feng Home probability density function shows the probability of Ching Stock to fall within a particular range of prices over 90 days) . Probability of Ching Feng Home price to stay between its current price of NT$ 29.50  and NT$ 34.60  at the end of the 90-day period is about 80.2 .
Assuming the 90 days trading horizon Ching Feng has a beta of 0.22. This suggests as returns on the market go up, Ching Feng average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Ching Feng Home will be expected to be much smaller as well. Additionally Ching Feng Home has an alpha of 0.0265, implying that it can generate a 0.0265 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Ching Feng Price Density   
       Price  

Predictive Modules for Ching Feng

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ching Feng Home. 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
27.0329.5031.97
Details
Intrinsic
Valuation
LowRealHigh
23.5626.0332.45
Details

Ching Feng Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Ching Feng is not an exception. The market had few large corrections towards the Ching Feng'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 Ching Feng Home, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Ching Feng within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.03
β
Beta against Dow Jones0.22
σ
Overall volatility
1.77
Ir
Information ratio -0.02

Ching Feng 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 Ching Feng for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Ching Feng Home can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Ching Feng Home generated a negative expected return over the last 90 days
Ching Feng Home has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations
About 31.0% of the company shares are owned by insiders or employees

Ching Feng 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 Ching Stock often depends not only on the future outlook of the current and potential Ching Feng'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. Ching Feng's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding168.6 M

Ching Feng Technical Analysis

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

Ching Feng Predictive Forecast Models

Ching Feng's time-series forecasting models is one of many Ching Feng'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 Ching Feng'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 Ching Feng Home

Checking the ongoing alerts about Ching Feng for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Ching Feng Home help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Ching Feng Home generated a negative expected return over the last 90 days
Ching Feng Home has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations
About 31.0% of the company shares are owned by insiders or employees

Additional Tools for Ching Stock Analysis

When running Ching Feng's price analysis, check to measure Ching Feng'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 Ching Feng is operating at the current time. Most of Ching Feng's value examination focuses on studying past and present price action to predict the probability of Ching Feng's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ching Feng's price. Additionally, you may evaluate how the addition of Ching Feng to your portfolios can decrease your overall portfolio volatility.