Janashakthi Insurance (Sri Lanka) Probability of Future Stock Price Finishing Under 34.32
| JINSN0000 | LKR 49.50 0.50 1.00% |
Janashakthi |
Janashakthi Insurance Target Price Odds to finish below 34.32
The tendency of Janashakthi 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 drop to 34.32 or more in 90 days |
| 49.50 | 90 days | 34.32 | roughly 2.69 |
Based on a normal probability distribution, the odds of Janashakthi Insurance to drop to 34.32 or more in 90 days from now is roughly 2.69 (This Janashakthi Insurance probability density function shows the probability of Janashakthi Stock to fall within a particular range of prices over 90 days) . Probability of Janashakthi Insurance price to stay between 34.32 and its current price of 49.5 at the end of the 90-day period is about 90.62 .
Assuming the 90 days trading horizon Janashakthi Insurance has a beta of -0.31. This indicates as returns on the benchmark increase, returns on holding Janashakthi Insurance are expected to decrease at a much lower rate. During a bear market, however, Janashakthi Insurance is likely to outperform the market. Additionally Janashakthi Insurance has an alpha of 0.5478, implying that it can generate a 0.55 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Janashakthi Insurance Price Density |
| Price |
Predictive Modules for Janashakthi Insurance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Janashakthi Insurance. 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.Janashakthi Insurance Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Janashakthi Insurance is not an exception. The market had few large corrections towards the Janashakthi Insurance'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 Janashakthi Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Janashakthi Insurance within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.55 | |
β | Beta against Dow Jones | -0.31 | |
σ | Overall volatility | 4.43 | |
Ir | Information ratio | 0.19 |
Janashakthi Insurance Technical Analysis
Janashakthi Insurance's future price can be derived by breaking down and analyzing its technical indicators over time. Janashakthi Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Janashakthi Insurance. In general, you should focus on analyzing Janashakthi Stock price patterns and their correlations with different microeconomic environments and drivers.
Janashakthi Insurance Predictive Forecast Models
Janashakthi Insurance's time-series forecasting models is one of many Janashakthi Insurance'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 Janashakthi Insurance'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 Janashakthi Insurance 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, Janashakthi Insurance's short interest history, or implied volatility extrapolated from Janashakthi Insurance options trading.
Other Information on Investing in Janashakthi Stock
Janashakthi Insurance financial ratios help investors to determine whether Janashakthi 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 Janashakthi with respect to the benefits of owning Janashakthi Insurance security.