Convenience Foods (Sri Lanka) Probability of Future Stock Price Finishing Under 919.23
| SOYN0000 | LKR 903.25 1.50 0.17% |
Convenience |
Convenience Foods Target Price Odds to finish below 919.23
The tendency of Convenience 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 919.23 after 90 days |
| 903.25 | 90 days | 919.23 | about 97.0 |
Based on a normal probability distribution, the odds of Convenience Foods to stay under 919.23 after 90 days from now is about 97.0 (This Convenience Foods PLC probability density function shows the probability of Convenience Stock to fall within a particular range of prices over 90 days) . Probability of Convenience Foods PLC price to stay between its current price of 903.25 and 919.23 at the end of the 90-day period is roughly 2.23 .
Assuming the 90 days trading horizon Convenience Foods PLC has a beta of -0.34. This usually implies as returns on the benchmark increase, returns on holding Convenience Foods are expected to decrease at a much lower rate. During a bear market, however, Convenience Foods PLC is likely to outperform the market. Additionally Convenience Foods PLC has an alpha of 0.2552, implying that it can generate a 0.26 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Convenience Foods Price Density |
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Predictive Modules for Convenience Foods
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Convenience Foods PLC. 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.Convenience Foods Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Convenience Foods is not an exception. The market had few large corrections towards the Convenience Foods' 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 Convenience Foods PLC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Convenience Foods within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.26 | |
β | Beta against Dow Jones | -0.34 | |
σ | Overall volatility | 57.59 | |
Ir | Information ratio | 0.07 |
Convenience Foods Technical Analysis
Convenience Foods' future price can be derived by breaking down and analyzing its technical indicators over time. Convenience Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Convenience Foods PLC. In general, you should focus on analyzing Convenience Stock price patterns and their correlations with different microeconomic environments and drivers.
Convenience Foods Predictive Forecast Models
Convenience Foods' time-series forecasting models is one of many Convenience Foods' 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 Convenience Foods' 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 Convenience Foods 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, Convenience Foods' short interest history, or implied volatility extrapolated from Convenience Foods options trading.
Other Information on Investing in Convenience Stock
Convenience Foods financial ratios help investors to determine whether Convenience 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 Convenience with respect to the benefits of owning Convenience Foods security.