Hunas Falls (Sri Lanka) Probability of Future Stock Price Finishing Over 25.5
| HUNAN0000 | LKR 28.40 0.30 1.07% |
Hunas |
Hunas Falls Target Price Odds to finish over 25.5
The tendency of Hunas 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 25.50 in 90 days |
| 28.40 | 90 days | 25.50 | about 85.88 |
Based on a normal probability distribution, the odds of Hunas Falls to stay above 25.50 in 90 days from now is about 85.88 (This Hunas Falls Hotels probability density function shows the probability of Hunas Stock to fall within a particular range of prices over 90 days) . Probability of Hunas Falls Hotels price to stay between 25.50 and its current price of 28.4 at the end of the 90-day period is about 80.78 .
Assuming the 90 days trading horizon Hunas Falls has a beta of 0.061. This usually indicates as returns on the market go up, Hunas Falls average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Hunas Falls Hotels will be expected to be much smaller as well. Additionally Hunas Falls Hotels has an alpha of 0.0404, implying that it can generate a 0.0404 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Hunas Falls Price Density |
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Predictive Modules for Hunas Falls
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hunas Falls 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.Hunas Falls Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Hunas Falls is not an exception. The market had few large corrections towards the Hunas Falls' 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 Hunas Falls Hotels, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Hunas Falls within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | 0.06 | |
σ | Overall volatility | 1.07 | |
Ir | Information ratio | 0.01 |
Hunas Falls Technical Analysis
Hunas Falls' future price can be derived by breaking down and analyzing its technical indicators over time. Hunas Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Hunas Falls Hotels. In general, you should focus on analyzing Hunas Stock price patterns and their correlations with different microeconomic environments and drivers.
Hunas Falls Predictive Forecast Models
Hunas Falls' time-series forecasting models is one of many Hunas Falls' 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 Hunas Falls' 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 Hunas Falls 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, Hunas Falls' short interest history, or implied volatility extrapolated from Hunas Falls options trading.
Other Information on Investing in Hunas Stock
Hunas Falls financial ratios help investors to determine whether Hunas 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 Hunas with respect to the benefits of owning Hunas Falls security.