Tangerine Beach (Sri Lanka) Probability of Future Stock Price Finishing Under 63.6
| TANGN0000 | LKR 63.00 1.10 1.72% |
Tangerine |
Tangerine Beach Target Price Odds to finish below 63.6
The tendency of Tangerine 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 63.60 after 90 days |
| 63.00 | 90 days | 63.60 | about 92.55 |
Based on a normal probability distribution, the odds of Tangerine Beach to stay under 63.60 after 90 days from now is about 92.55 (This Tangerine Beach Hotels probability density function shows the probability of Tangerine Stock to fall within a particular range of prices over 90 days) . Probability of Tangerine Beach Hotels price to stay between its current price of 63.00 and 63.60 at the end of the 90-day period is about 6.58 .
Assuming the 90 days trading horizon Tangerine Beach Hotels has a beta of -0.28. This usually implies as returns on the benchmark increase, returns on holding Tangerine Beach are expected to decrease at a much lower rate. During a bear market, however, Tangerine Beach Hotels is likely to outperform the market. Additionally Tangerine Beach Hotels has an alpha of 0.0627, implying that it can generate a 0.0627 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Tangerine Beach Price Density |
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Predictive Modules for Tangerine Beach
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tangerine Beach 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.Tangerine Beach Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Tangerine Beach is not an exception. The market had few large corrections towards the Tangerine Beach'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 Tangerine Beach Hotels, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Tangerine Beach within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.06 | |
β | Beta against Dow Jones | -0.28 | |
σ | Overall volatility | 1.63 | |
Ir | Information ratio | -0.05 |
Tangerine Beach Technical Analysis
Tangerine Beach's future price can be derived by breaking down and analyzing its technical indicators over time. Tangerine Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Tangerine Beach Hotels. In general, you should focus on analyzing Tangerine Stock price patterns and their correlations with different microeconomic environments and drivers.
Tangerine Beach Predictive Forecast Models
Tangerine Beach's time-series forecasting models is one of many Tangerine Beach'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 Tangerine Beach'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 Tangerine Beach 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, Tangerine Beach's short interest history, or implied volatility extrapolated from Tangerine Beach options trading.
Other Information on Investing in Tangerine Stock
Tangerine Beach financial ratios help investors to determine whether Tangerine 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 Tangerine with respect to the benefits of owning Tangerine Beach security.