China Times (Taiwan) Probability of Future Stock Price Finishing Under 13.92

8923 Stock  TWD 18.00  0.55  2.96%   
China Times' future price is the expected price of China Times 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 China Times Publishing performance during a given time horizon utilizing its historical volatility. Check out China Times Backtesting, China Times Valuation, China Times Correlation, China Times Hype Analysis, China Times Volatility, China Times History as well as China Times Performance.
  
Please specify China Times' target price for which you would like China Times odds to be computed.

China Times Target Price Odds to finish below 13.92

The tendency of China 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 drop to NT$ 13.92  or more in 90 days
 18.00 90 days 13.92 
near 1
Based on a normal probability distribution, the odds of China Times to drop to NT$ 13.92  or more in 90 days from now is near 1 (This China Times Publishing probability density function shows the probability of China Stock to fall within a particular range of prices over 90 days) . Probability of China Times Publishing price to stay between NT$ 13.92  and its current price of NT$18.0 at the end of the 90-day period is about 17.35 .
Assuming the 90 days trading horizon China Times Publishing has a beta of -0.57. This suggests as returns on the benchmark increase, returns on holding China Times are expected to decrease at a much lower rate. During a bear market, however, China Times Publishing is likely to outperform the market. Additionally China Times Publishing has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   China Times Price Density   
       Price  

Predictive Modules for China Times

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as China Times Publishing. 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
13.7118.0022.29
Details
Intrinsic
Valuation
LowRealHigh
11.2315.5219.81
Details
Naive
Forecast
LowNextHigh
13.7818.0722.37
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
17.2618.5819.91
Details

China Times Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. China Times is not an exception. The market had few large corrections towards the China Times' 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 China Times Publishing, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of China Times within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.1
β
Beta against Dow Jones-0.57
σ
Overall volatility
0.83
Ir
Information ratio -0.07

China Times 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 China Times for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for China Times Publishing can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
China Times generated a negative expected return over the last 90 days
China Times has high historical volatility and very poor performance
About 83.0% of the company shares are owned by insiders or employees

China Times 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 China Stock often depends not only on the future outlook of the current and potential China Times' 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. China Times' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding30.4 M

China Times Technical Analysis

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

China Times Predictive Forecast Models

China Times' time-series forecasting models is one of many China Times' 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 China Times' 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 China Times Publishing

Checking the ongoing alerts about China Times for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for China Times Publishing help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
China Times generated a negative expected return over the last 90 days
China Times has high historical volatility and very poor performance
About 83.0% of the company shares are owned by insiders or employees

Additional Tools for China Stock Analysis

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