Unilever Pakistan (Pakistan) Probability of Future Stock Price Finishing Over 21133.87
| UPFL Stock | 21,690 210.00 0.96% |
Unilever |
Unilever Pakistan Target Price Odds to finish over 21133.87
The tendency of Unilever 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 21,134 in 90 days |
| 21,690 | 90 days | 21,134 | about 18.25 |
Based on a normal probability distribution, the odds of Unilever Pakistan to stay above 21,134 in 90 days from now is about 18.25 (This Unilever Pakistan Foods probability density function shows the probability of Unilever Stock to fall within a particular range of prices over 90 days) . Probability of Unilever Pakistan Foods price to stay between 21,134 and its current price of 21690.0 at the end of the 90-day period is about 10.44 .
Assuming the 90 days trading horizon Unilever Pakistan has a beta of 0.0794. This usually implies as returns on the market go up, Unilever Pakistan average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Unilever Pakistan Foods will be expected to be much smaller as well. Additionally Unilever Pakistan Foods has an alpha of 0.2944, implying that it can generate a 0.29 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Unilever Pakistan Price Density |
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Predictive Modules for Unilever Pakistan
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Unilever Pakistan Foods. 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.Unilever Pakistan Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Unilever Pakistan is not an exception. The market had few large corrections towards the Unilever Pakistan'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 Unilever Pakistan Foods, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Unilever Pakistan within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.29 | |
β | Beta against Dow Jones | 0.08 | |
σ | Overall volatility | 1,086 | |
Ir | Information ratio | 0.21 |
Unilever Pakistan Technical Analysis
Unilever Pakistan's future price can be derived by breaking down and analyzing its technical indicators over time. Unilever Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Unilever Pakistan Foods. In general, you should focus on analyzing Unilever Stock price patterns and their correlations with different microeconomic environments and drivers.
Unilever Pakistan Predictive Forecast Models
Unilever Pakistan's time-series forecasting models is one of many Unilever Pakistan'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 Unilever Pakistan'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 Unilever Pakistan 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, Unilever Pakistan's short interest history, or implied volatility extrapolated from Unilever Pakistan options trading.
Other Information on Investing in Unilever Stock
Unilever Pakistan financial ratios help investors to determine whether Unilever 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 Unilever with respect to the benefits of owning Unilever Pakistan security.