Shangri La (Malaysia) Probability of Future Stock Price Finishing Under 0.02

5517 Stock   2.00  0.02  0.99%   
Shangri La's future price is the expected price of Shangri La 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 Shangri La Hotels performance during a given time horizon utilizing its historical volatility. Check out Shangri La Backtesting, Shangri La Valuation, Shangri La Correlation, Shangri La Hype Analysis, Shangri La Volatility, Shangri La History as well as Shangri La Performance.
  
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Shangri La Target Price Odds to finish below 0.02

The tendency of Shangri 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  0.02  or more in 90 days
 2.00 90 days 0.02 
close to zero percent
Based on a normal probability distribution, the odds of Shangri La to drop to  0.02  or more in 90 days from now is close to zero percent (This Shangri La Hotels probability density function shows the probability of Shangri Stock to fall within a particular range of prices over 90 days) . Probability of Shangri La Hotels price to stay between  0.02  and its current price of 2.0 at the end of the 90-day period is about 22.42 .
Assuming the 90 days trading horizon Shangri La has a beta of 0.0099. This suggests as returns on the market go up, Shangri La average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Shangri La Hotels will be expected to be much smaller as well. Additionally Shangri La Hotels has an alpha of 0.0491, implying that it can generate a 0.0491 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Shangri La Price Density   
       Price  

Predictive Modules for Shangri La

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shangri La Hotels. 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
0.952.003.05
Details
Intrinsic
Valuation
LowRealHigh
1.162.213.26
Details

Shangri La Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Shangri La is not an exception. The market had few large corrections towards the Shangri La'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 Shangri La Hotels, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Shangri La within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.05
β
Beta against Dow Jones0.01
σ
Overall volatility
0.03
Ir
Information ratio -0.04

Shangri La 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 Shangri La for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Shangri La Hotels can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Shangri La Hotels generated a negative expected return over the last 90 days
Shangri La Hotels has high likelihood to experience some financial distress in the next 2 years
The company reported the revenue of 128.73 M. Net Loss for the year was (126.47 M) with profit before overhead, payroll, taxes, and interest of 0.
Shangri La generates negative cash flow from operations

Shangri La 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 Shangri Stock often depends not only on the future outlook of the current and potential Shangri La'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. Shangri La's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding440 M
Short Long Term Debt174.7 M
Cash And Short Term Investments78.2 M

Shangri La Technical Analysis

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

Shangri La Predictive Forecast Models

Shangri La's time-series forecasting models is one of many Shangri La'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 Shangri La'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 Shangri La Hotels

Checking the ongoing alerts about Shangri La for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Shangri La Hotels help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Shangri La Hotels generated a negative expected return over the last 90 days
Shangri La Hotels has high likelihood to experience some financial distress in the next 2 years
The company reported the revenue of 128.73 M. Net Loss for the year was (126.47 M) with profit before overhead, payroll, taxes, and interest of 0.
Shangri La generates negative cash flow from operations

Other Information on Investing in Shangri Stock

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