SillaJen (Korea) Odds of Future Stock Price Finishing Over 2,575

215600 Stock  KRW 2,750  30.00  1.08%   
SillaJen's future price is the expected price of SillaJen 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 SillaJen performance during a given time horizon utilizing its historical volatility. Check out SillaJen Backtesting, SillaJen Valuation, SillaJen Correlation, SillaJen Hype Analysis, SillaJen Volatility, SillaJen History as well as SillaJen Performance.
  
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SillaJen Target Price Odds to finish over 2,575

The tendency of SillaJen 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 above the current price in 90 days
 2,750 90 days 2,750 
about 42.07
Based on a normal probability distribution, the odds of SillaJen to move above the current price in 90 days from now is about 42.07 (This SillaJen probability density function shows the probability of SillaJen Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon SillaJen has a beta of 0.7. This suggests as returns on the market go up, SillaJen average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SillaJen will be expected to be much smaller as well. Additionally SillaJen 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.
   SillaJen Price Density   
       Price  

Predictive Modules for SillaJen

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SillaJen. 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
2,7472,7502,753
Details
Intrinsic
Valuation
LowRealHigh
2,0872,0903,025
Details
Naive
Forecast
LowNextHigh
2,6142,6182,621
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2,5882,9543,319
Details

SillaJen Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. SillaJen is not an exception. The market had few large corrections towards the SillaJen'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 SillaJen, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SillaJen within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.12
β
Beta against Dow Jones0.70
σ
Overall volatility
199.10
Ir
Information ratio -0.05

SillaJen 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 SillaJen for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SillaJen can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
SillaJen had very high historical volatility over the last 90 days
The company reported the revenue of 1.67 B. Net Loss for the year was (47.82 B) with profit before overhead, payroll, taxes, and interest of 1.67 B.
SillaJen has accumulated about 20.77 B in cash with (22.94 B) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 290.07.

SillaJen 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 SillaJen Stock often depends not only on the future outlook of the current and potential SillaJen'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. SillaJen's indicators that are reflective of the short sentiment are summarized in the table below.
Float Shares66.31M
Average Daily Volume Last 10 Day2.34M
Average Daily Volume In Three Month2.66M

SillaJen Technical Analysis

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

SillaJen Predictive Forecast Models

SillaJen's time-series forecasting models is one of many SillaJen'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 SillaJen'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 SillaJen

Checking the ongoing alerts about SillaJen for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SillaJen help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
SillaJen had very high historical volatility over the last 90 days
The company reported the revenue of 1.67 B. Net Loss for the year was (47.82 B) with profit before overhead, payroll, taxes, and interest of 1.67 B.
SillaJen has accumulated about 20.77 B in cash with (22.94 B) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 290.07.

Other Information on Investing in SillaJen Stock

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