Boxer Retail (South Africa) Probability of Future Stock Price Finishing Over 6351.0
| BOX Stock | 6,670 82.00 1.24% |
Boxer |
Boxer Retail Target Price Odds to finish over 6351.0
The tendency of Boxer 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 6,351 in 90 days |
| 6,670 | 90 days | 6,351 | about 92.41 |
Based on a normal probability distribution, the odds of Boxer Retail to stay above 6,351 in 90 days from now is about 92.41 (This Boxer Retail probability density function shows the probability of Boxer Stock to fall within a particular range of prices over 90 days) . Probability of Boxer Retail price to stay between 6,351 and its current price of 6670.0 at the end of the 90-day period is about 65.37 .
Assuming the 90 days trading horizon Boxer Retail has a beta of 0.21 suggesting as returns on the market go up, Boxer Retail average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Boxer Retail will be expected to be much smaller as well. Additionally Boxer Retail has an alpha of 0.0924, implying that it can generate a 0.0924 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Boxer Retail Price Density |
| Price |
Predictive Modules for Boxer Retail
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Boxer Retail. 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.Boxer Retail Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Boxer Retail is not an exception. The market had few large corrections towards the Boxer Retail'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 Boxer Retail, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Boxer Retail within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.09 | |
β | Beta against Dow Jones | 0.21 | |
σ | Overall volatility | 156.00 | |
Ir | Information ratio | 0.08 |
Boxer Retail Technical Analysis
Boxer Retail's future price can be derived by breaking down and analyzing its technical indicators over time. Boxer Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Boxer Retail. In general, you should focus on analyzing Boxer Stock price patterns and their correlations with different microeconomic environments and drivers.
Boxer Retail Predictive Forecast Models
Boxer Retail's time-series forecasting models is one of many Boxer Retail'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 Boxer Retail'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 Boxer Retail 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, Boxer Retail's short interest history, or implied volatility extrapolated from Boxer Retail options trading.