Systech Bhd (Malaysia) Probability of Future Stock Price Finishing Under 0

0050 Stock   0.25  0.01  3.85%   
Systech Bhd's future price is the expected price of Systech Bhd 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 Systech Bhd performance during a given time horizon utilizing its historical volatility. Check out Systech Bhd Backtesting, Systech Bhd Valuation, Systech Bhd Correlation, Systech Bhd Hype Analysis, Systech Bhd Volatility, Systech Bhd History as well as Systech Bhd Performance.
  
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Systech Bhd Target Price Odds to finish below 0

The tendency of Systech 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  0.00  or more in 90 days
 0.25 90 days 0.00 
near 1
Based on a normal probability distribution, the odds of Systech Bhd to drop to  0.00  or more in 90 days from now is near 1 (This Systech Bhd probability density function shows the probability of Systech Stock to fall within a particular range of prices over 90 days) . Probability of Systech Bhd price to stay between  0.00  and its current price of 0.25 at the end of the 90-day period is nearly 4.6 .
Assuming the 90 days trading horizon Systech Bhd has a beta of 0.0327. This suggests as returns on the market go up, Systech Bhd average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Systech Bhd will be expected to be much smaller as well. Additionally Systech Bhd 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.
   Systech Bhd Price Density   
       Price  

Predictive Modules for Systech Bhd

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Systech Bhd. 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
0.010.252.83
Details
Intrinsic
Valuation
LowRealHigh
0.010.232.81
Details
Naive
Forecast
LowNextHigh
0.010.262.83
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.240.260.27
Details

Systech Bhd Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Systech Bhd is not an exception. The market had few large corrections towards the Systech Bhd'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 Systech Bhd, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Systech Bhd within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.39
β
Beta against Dow Jones0.03
σ
Overall volatility
0.03
Ir
Information ratio -0.18

Systech Bhd 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 Systech Bhd for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Systech Bhd can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Systech Bhd generated a negative expected return over the last 90 days
Systech Bhd has some characteristics of a very speculative penny stock
The company reported the revenue of 22.39 M. Net Loss for the year was (20.81 M) with profit before overhead, payroll, taxes, and interest of 0.

Systech Bhd 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 Systech Stock often depends not only on the future outlook of the current and potential Systech Bhd'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. Systech Bhd's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding345.8 M
Dividends Paid692 K
Short Long Term Debt350 K
Cash And Short Term Investments5.2 M

Systech Bhd Technical Analysis

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

Systech Bhd Predictive Forecast Models

Systech Bhd's time-series forecasting models is one of many Systech Bhd'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 Systech Bhd'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 Systech Bhd

Checking the ongoing alerts about Systech Bhd for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Systech Bhd help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Systech Bhd generated a negative expected return over the last 90 days
Systech Bhd has some characteristics of a very speculative penny stock
The company reported the revenue of 22.39 M. Net Loss for the year was (20.81 M) with profit before overhead, payroll, taxes, and interest of 0.

Other Information on Investing in Systech Stock

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