CEYLON HOSPITALS (Sri Lanka) Probability of Future Stock Price Finishing Under 94.7
| CHLX0000 | LKR 94.20 1.20 1.29% |
CEYLON |
CEYLON HOSPITALS Target Price Odds to finish below 94.7
The tendency of CEYLON 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 stay under 94.70 after 90 days |
| 94.20 | 90 days | 94.70 | about 83.05 |
Based on a normal probability distribution, the odds of CEYLON HOSPITALS to stay under 94.70 after 90 days from now is about 83.05 (This CEYLON HOSPITALS PLC probability density function shows the probability of CEYLON Stock to fall within a particular range of prices over 90 days) . Probability of CEYLON HOSPITALS PLC price to stay between its current price of 94.20 and 94.70 at the end of the 90-day period is about 6.35 .
Assuming the 90 days trading horizon CEYLON HOSPITALS PLC has a beta of -0.18 suggesting as returns on the benchmark increase, returns on holding CEYLON HOSPITALS are expected to decrease at a much lower rate. During a bear market, however, CEYLON HOSPITALS PLC is likely to outperform the market. Additionally CEYLON HOSPITALS PLC 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. CEYLON HOSPITALS Price Density |
| Price |
Predictive Modules for CEYLON 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 CEYLON HOSPITALS PLC. 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.CEYLON HOSPITALS Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CEYLON HOSPITALS is not an exception. The market had few large corrections towards the CEYLON HOSPITALS'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 CEYLON HOSPITALS PLC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CEYLON HOSPITALS within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.04 | |
β | Beta against Dow Jones | -0.18 | |
σ | Overall volatility | 2.18 | |
Ir | Information ratio | -0.11 |
CEYLON HOSPITALS Technical Analysis
CEYLON HOSPITALS's future price can be derived by breaking down and analyzing its technical indicators over time. CEYLON Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CEYLON HOSPITALS PLC. In general, you should focus on analyzing CEYLON Stock price patterns and their correlations with different microeconomic environments and drivers.
CEYLON HOSPITALS Predictive Forecast Models
CEYLON HOSPITALS's time-series forecasting models is one of many CEYLON HOSPITALS'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 CEYLON HOSPITALS'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.
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 CEYLON 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, CEYLON HOSPITALS's short interest history, or implied volatility extrapolated from CEYLON HOSPITALS options trading.
Other Information on Investing in CEYLON Stock
CEYLON HOSPITALS financial ratios help investors to determine whether CEYLON 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 CEYLON with respect to the benefits of owning CEYLON HOSPITALS security.