ZAMBIA REINSURANCE (Zambia) Probability of Future Stock Price Finishing Under 2.03
| ZAMBIA-RE | 2.70 0.00 0.00% |
ZAMBIA |
ZAMBIA REINSURANCE Target Price Odds to finish below 2.03
The tendency of ZAMBIA 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 2.03 or more in 90 days |
| 2.70 | 90 days | 2.03 | close to zero percent |
Based on a normal probability distribution, the odds of ZAMBIA REINSURANCE to drop to 2.03 or more in 90 days from now is close to zero percent (This ZAMBIA REINSURANCE PLC probability density function shows the probability of ZAMBIA Stock to fall within a particular range of prices over 90 days) . Probability of ZAMBIA REINSURANCE PLC price to stay between 2.03 and its current price of 2.7 at the end of the 90-day period is about 49.81 .
Assuming the 90 days trading horizon ZAMBIA REINSURANCE PLC has a beta of -0.16. This usually means as returns on the benchmark increase, returns on holding ZAMBIA REINSURANCE are expected to decrease at a much lower rate. During a bear market, however, ZAMBIA REINSURANCE PLC is likely to outperform the market. Additionally ZAMBIA REINSURANCE PLC has an alpha of 0.011, implying that it can generate a 0.011 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). ZAMBIA REINSURANCE Price Density |
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Predictive Modules for ZAMBIA REINSURANCE
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ZAMBIA REINSURANCE 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.ZAMBIA REINSURANCE Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. ZAMBIA REINSURANCE is not an exception. The market had few large corrections towards the ZAMBIA REINSURANCE'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 ZAMBIA REINSURANCE PLC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ZAMBIA REINSURANCE within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.16 | |
σ | Overall volatility | 0.02 | |
Ir | Information ratio | -0.19 |
ZAMBIA REINSURANCE Technical Analysis
ZAMBIA REINSURANCE's future price can be derived by breaking down and analyzing its technical indicators over time. ZAMBIA Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ZAMBIA REINSURANCE PLC. In general, you should focus on analyzing ZAMBIA Stock price patterns and their correlations with different microeconomic environments and drivers.
ZAMBIA REINSURANCE Predictive Forecast Models
ZAMBIA REINSURANCE's time-series forecasting models is one of many ZAMBIA REINSURANCE'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 ZAMBIA REINSURANCE'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 ZAMBIA REINSURANCE 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, ZAMBIA REINSURANCE's short interest history, or implied volatility extrapolated from ZAMBIA REINSURANCE options trading.