Singhe Hospitals (Sri Lanka) Probability of Future Stock Price Finishing Over 2.42
| SINHN0000 | LKR 2.40 0.10 4.00% |
Singhe |
Singhe Hospitals Target Price Odds to finish over 2.42
The tendency of Singhe 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 Price | Horizon | Target Price | Odds to move over 2.42 or more in 90 days |
| 2.40 | 90 days | 2.42 | about 61.58 |
Based on a normal probability distribution, the odds of Singhe Hospitals to move over 2.42 or more in 90 days from now is about 61.58 (This Singhe Hospitals probability density function shows the probability of Singhe Stock to fall within a particular range of prices over 90 days) . Probability of Singhe Hospitals price to stay between its current price of 2.40 and 2.42 at the end of the 90-day period is about 10.63 .
Assuming the 90 days trading horizon the stock has the beta coefficient of 1.13 . This usually implies Singhe Hospitals market returns are sensitive to returns on the market. As the market goes up or down, Singhe Hospitals is expected to follow. Additionally Singhe Hospitals 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. Singhe Hospitals Price Density |
| Price |
Predictive Modules for Singhe Hospitals
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Singhe Hospitals. 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.Singhe Hospitals Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Singhe Hospitals is not an exception. The market had few large corrections towards the Singhe Hospitals' 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 Singhe Hospitals, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Singhe Hospitals within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.21 | |
β | Beta against Dow Jones | 1.13 | |
σ | Overall volatility | 0.07 | |
Ir | Information ratio | -0.06 |
Singhe Hospitals Technical Analysis
Singhe Hospitals' future price can be derived by breaking down and analyzing its technical indicators over time. Singhe Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Singhe Hospitals. In general, you should focus on analyzing Singhe Stock price patterns and their correlations with different microeconomic environments and drivers.
Singhe Hospitals Predictive Forecast Models
Singhe Hospitals' time-series forecasting models is one of many Singhe Hospitals' 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 Singhe Hospitals' 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Singhe Hospitals in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Singhe Hospitals' short interest history, or implied volatility extrapolated from Singhe Hospitals options trading.
Other Information on Investing in Singhe Stock
Singhe Hospitals financial ratios help investors to determine whether Singhe 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 Singhe with respect to the benefits of owning Singhe Hospitals security.