CONSTANCE HOTELS (Mauritius) Probability of Future Stock Price Finishing Over 19.31
| CHSL Stock | 19.50 0.00 0.00% |
CONSTANCE |
CONSTANCE HOTELS Target Price Odds to finish over 19.31
The tendency of CONSTANCE 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 above 19.31 in 90 days |
| 19.50 | 90 days | 19.31 | close to 99 |
Based on a normal probability distribution, the odds of CONSTANCE HOTELS to stay above 19.31 in 90 days from now is close to 99 (This CONSTANCE HOTELS SERVICES probability density function shows the probability of CONSTANCE Stock to fall within a particular range of prices over 90 days) . Probability of CONSTANCE HOTELS SERVICES price to stay between 19.31 and its current price of 19.5 at the end of the 90-day period is about 49.4 .
Assuming the 90 days trading horizon CONSTANCE HOTELS SERVICES has a beta of -0.0935 suggesting as returns on the benchmark increase, returns on holding CONSTANCE HOTELS are expected to decrease at a much lower rate. During a bear market, however, CONSTANCE HOTELS SERVICES is likely to outperform the market. Additionally CONSTANCE HOTELS SERVICES 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. CONSTANCE HOTELS Price Density |
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Predictive Modules for CONSTANCE HOTELS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CONSTANCE HOTELS SERVICES. 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.CONSTANCE HOTELS Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CONSTANCE HOTELS is not an exception. The market had few large corrections towards the CONSTANCE HOTELS'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 CONSTANCE HOTELS SERVICES, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CONSTANCE HOTELS within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.04 | |
β | Beta against Dow Jones | -0.09 | |
σ | Overall volatility | 0.08 | |
Ir | Information ratio | -0.47 |
CONSTANCE HOTELS Technical Analysis
CONSTANCE HOTELS's future price can be derived by breaking down and analyzing its technical indicators over time. CONSTANCE Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CONSTANCE HOTELS SERVICES. In general, you should focus on analyzing CONSTANCE Stock price patterns and their correlations with different microeconomic environments and drivers.
CONSTANCE HOTELS Predictive Forecast Models
CONSTANCE HOTELS's time-series forecasting models is one of many CONSTANCE HOTELS'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 CONSTANCE HOTELS'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 CONSTANCE HOTELS 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, CONSTANCE HOTELS's short interest history, or implied volatility extrapolated from CONSTANCE HOTELS options trading.