Atlas Insurance (Pakistan) Probability of Future Stock Price Finishing Over 39.4
| ATIL Stock | 56.00 1.00 1.82% |
Atlas |
Atlas Insurance Target Price Odds to finish over 39.4
The tendency of Atlas 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 39.40 in 90 days |
| 56.00 | 90 days | 39.40 | about 77.45 |
Based on a normal probability distribution, the odds of Atlas Insurance to stay above 39.40 in 90 days from now is about 77.45 (This Atlas Insurance probability density function shows the probability of Atlas Stock to fall within a particular range of prices over 90 days) . Probability of Atlas Insurance price to stay between 39.40 and its current price of 56.0 at the end of the 90-day period is about 76.3 .
Assuming the 90 days trading horizon Atlas Insurance has a beta of 0.16. This suggests as returns on the market go up, Atlas Insurance average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Atlas Insurance will be expected to be much smaller as well. Additionally Atlas Insurance has an alpha of 0.4887, implying that it can generate a 0.49 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Atlas Insurance Price Density |
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Predictive Modules for Atlas 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 Atlas 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.Atlas Insurance Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Atlas Insurance is not an exception. The market had few large corrections towards the Atlas 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 Atlas Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Atlas Insurance within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.49 | |
β | Beta against Dow Jones | 0.16 | |
σ | Overall volatility | 5.48 | |
Ir | Information ratio | 0.22 |
Atlas Insurance Technical Analysis
Atlas Insurance's future price can be derived by breaking down and analyzing its technical indicators over time. Atlas Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Atlas Insurance. In general, you should focus on analyzing Atlas Stock price patterns and their correlations with different microeconomic environments and drivers.
Atlas Insurance Predictive Forecast Models
Atlas Insurance's time-series forecasting models is one of many Atlas 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 Atlas 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 Atlas 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, Atlas Insurance's short interest history, or implied volatility extrapolated from Atlas Insurance options trading.
Other Information on Investing in Atlas Stock
Atlas Insurance financial ratios help investors to determine whether Atlas 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 Atlas with respect to the benefits of owning Atlas Insurance security.