Hai Kwang (Taiwan) Probability of Future Stock Price Finishing Under 13.74

2038 Stock  TWD 15.75  0.15  0.96%   
Hai Kwang's future price is the expected price of Hai Kwang 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 Hai Kwang Enterprise performance during a given time horizon utilizing its historical volatility. Check out Hai Kwang Backtesting, Hai Kwang Valuation, Hai Kwang Correlation, Hai Kwang Hype Analysis, Hai Kwang Volatility, Hai Kwang History as well as Hai Kwang Performance.
  
Please specify Hai Kwang's target price for which you would like Hai Kwang odds to be computed.

Hai Kwang Target Price Odds to finish below 13.74

The tendency of Hai 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$ 13.74  or more in 90 days
 15.75 90 days 13.74 
near 1
Based on a normal probability distribution, the odds of Hai Kwang to drop to NT$ 13.74  or more in 90 days from now is near 1 (This Hai Kwang Enterprise probability density function shows the probability of Hai Stock to fall within a particular range of prices over 90 days) . Probability of Hai Kwang Enterprise price to stay between NT$ 13.74  and its current price of NT$15.75 at the end of the 90-day period is nearly 4.07 .
Assuming the 90 days trading horizon Hai Kwang has a beta of 0.2. This suggests as returns on the market go up, Hai Kwang average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Hai Kwang Enterprise will be expected to be much smaller as well. Additionally Hai Kwang Enterprise 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.
   Hai Kwang Price Density   
       Price  

Predictive Modules for Hai Kwang

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hai Kwang Enterprise. 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
14.0715.7517.43
Details
Intrinsic
Valuation
LowRealHigh
15.0516.7318.41
Details

Hai Kwang Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Hai Kwang is not an exception. The market had few large corrections towards the Hai Kwang'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 Hai Kwang Enterprise, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Hai Kwang within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.17
β
Beta against Dow Jones0.20
σ
Overall volatility
1.19
Ir
Information ratio -0.1

Hai Kwang 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 Hai Kwang for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Hai Kwang Enterprise can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Hai Kwang Enterprise generated a negative expected return over the last 90 days
Hai Kwang Enterprise has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations
About 48.0% of the company shares are owned by insiders or employees

Hai Kwang 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 Hai Stock often depends not only on the future outlook of the current and potential Hai Kwang'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. Hai Kwang's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding181.3 M

Hai Kwang Technical Analysis

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

Hai Kwang Predictive Forecast Models

Hai Kwang's time-series forecasting models is one of many Hai Kwang'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 Hai Kwang'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 Hai Kwang Enterprise

Checking the ongoing alerts about Hai Kwang for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Hai Kwang Enterprise help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Hai Kwang Enterprise generated a negative expected return over the last 90 days
Hai Kwang Enterprise has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations
About 48.0% of the company shares are owned by insiders or employees

Additional Tools for Hai Stock Analysis

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