San Fang (Taiwan) Odds of Future Stock Price Finishing Under 38.56

1307 Stock  TWD 40.20  1.15  2.94%   
San Fang's future price is the expected price of San Fang 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 San Fang Chemical performance during a given time horizon utilizing its historical volatility. Check out San Fang Backtesting, San Fang Valuation, San Fang Correlation, San Fang Hype Analysis, San Fang Volatility, San Fang History as well as San Fang Performance.
  
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San Fang Target Price Odds to finish below 38.56

The tendency of San 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$ 38.56  or more in 90 days
 40.20 90 days 38.56 
about 38.06
Based on a normal probability distribution, the odds of San Fang to drop to NT$ 38.56  or more in 90 days from now is about 38.06 (This San Fang Chemical probability density function shows the probability of San Stock to fall within a particular range of prices over 90 days) . Probability of San Fang Chemical price to stay between NT$ 38.56  and its current price of NT$40.2 at the end of the 90-day period is about 15.54 .
Assuming the 90 days trading horizon San Fang has a beta of 0.41. This suggests as returns on the market go up, San Fang average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding San Fang Chemical will be expected to be much smaller as well. Additionally San Fang Chemical has an alpha of 0.336, implying that it can generate a 0.34 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   San Fang Price Density   
       Price  

Predictive Modules for San Fang

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as San Fang Chemical. 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
36.7540.2043.65
Details
Intrinsic
Valuation
LowRealHigh
32.8136.2644.22
Details
Naive
Forecast
LowNextHigh
36.7240.1743.62
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
38.6541.3944.13
Details

San Fang Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. San Fang is not an exception. The market had few large corrections towards the San Fang'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 San Fang Chemical, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of San Fang within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.34
β
Beta against Dow Jones0.41
σ
Overall volatility
4.16
Ir
Information ratio 0.08

San Fang 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 San Fang for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for San Fang Chemical can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
San Fang Chemical had very high historical volatility over the last 90 days
San Fang Chemical has accumulated about 4.21 B in cash with (485.11 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 10.57.
Roughly 60.0% of the company shares are owned by insiders or employees

San Fang 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 San Stock often depends not only on the future outlook of the current and potential San Fang'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. San Fang's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding397.8 M

San Fang Technical Analysis

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

San Fang Predictive Forecast Models

San Fang's time-series forecasting models is one of many San Fang'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 San Fang'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 San Fang Chemical

Checking the ongoing alerts about San Fang for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for San Fang Chemical help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
San Fang Chemical had very high historical volatility over the last 90 days
San Fang Chemical has accumulated about 4.21 B in cash with (485.11 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 10.57.
Roughly 60.0% of the company shares are owned by insiders or employees

Additional Tools for San Stock Analysis

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