Genting Singapore Plc Stock Probability of Future Pink Sheet Price Finishing Over 46.95

GIGNY Stock  USD 30.72  0.00  0.00%   
Genting Singapore's future price is the expected price of Genting Singapore 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 Genting Singapore PLC performance during a given time horizon utilizing its historical volatility. Check out Genting Singapore Backtesting, Genting Singapore Valuation, Genting Singapore Correlation, Genting Singapore Hype Analysis, Genting Singapore Volatility, Genting Singapore History as well as Genting Singapore Performance.
  
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Genting Singapore Target Price Odds to finish over 46.95

The tendency of Genting Pink Sheet 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 over $ 46.95  or more in 90 days
 30.72 90 days 46.95 
near 1
Based on a normal probability distribution, the odds of Genting Singapore to move over $ 46.95  or more in 90 days from now is near 1 (This Genting Singapore PLC probability density function shows the probability of Genting Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Genting Singapore PLC price to stay between its current price of $ 30.72  and $ 46.95  at the end of the 90-day period is about 76.91 .
Assuming the 90 days horizon Genting Singapore has a beta of 0.11. This usually indicates as returns on the market go up, Genting Singapore average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Genting Singapore PLC will be expected to be much smaller as well. Additionally Genting Singapore PLC has an alpha of 0.1755, implying that it can generate a 0.18 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Genting Singapore Price Density   
       Price  

Predictive Modules for Genting Singapore

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Genting Singapore PLC. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
27.6230.7233.82
Details
Intrinsic
Valuation
LowRealHigh
23.1226.2233.79
Details
Naive
Forecast
LowNextHigh
28.0431.1434.25
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
29.0330.6432.26
Details

Genting Singapore Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Genting Singapore is not an exception. The market had few large corrections towards the Genting Singapore'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 Genting Singapore PLC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Genting Singapore within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.18
β
Beta against Dow Jones0.11
σ
Overall volatility
1.78
Ir
Information ratio 0.03

Genting Singapore 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 Genting Singapore for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Genting Singapore PLC can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Genting Singapore had very high historical volatility over the last 90 days

Genting Singapore 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 Genting Pink Sheet often depends not only on the future outlook of the current and potential Genting Singapore'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. Genting Singapore's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding12.1 B

Genting Singapore Technical Analysis

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

Genting Singapore Predictive Forecast Models

Genting Singapore's time-series forecasting models is one of many Genting Singapore's pink sheet 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 Genting Singapore'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 pink sheet market movement and maximize returns from investment trading.

Things to note about Genting Singapore PLC

Checking the ongoing alerts about Genting Singapore for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Genting Singapore PLC help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Genting Singapore had very high historical volatility over the last 90 days

Additional Tools for Genting Pink Sheet Analysis

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