BS2 ALLINVESTMENTS (Brazil) Probability of Future Fund Price Finishing Under 77.14
| LLAO11 Fund | 77.37 0.00 0.00% |
BS2 |
BS2 ALLINVESTMENTS Target Price Odds to finish below 77.14
The tendency of BS2 Fund 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 77.14 or more in 90 days |
| 77.37 | 90 days | 77.14 | about 86.99 |
Based on a normal probability distribution, the odds of BS2 ALLINVESTMENTS to drop to 77.14 or more in 90 days from now is about 86.99 (This BS2 ALLINVESTMENTS FDO probability density function shows the probability of BS2 Fund to fall within a particular range of prices over 90 days) . Probability of BS2 ALLINVESTMENTS FDO price to stay between 77.14 and its current price of 77.37 at the end of the 90-day period is about 5.9 .
Assuming the 90 days trading horizon BS2 ALLINVESTMENTS FDO has a beta of -0.0141. This indicates as returns on the benchmark increase, returns on holding BS2 ALLINVESTMENTS are expected to decrease at a much lower rate. During a bear market, however, BS2 ALLINVESTMENTS FDO is likely to outperform the market. Additionally BS2 ALLINVESTMENTS FDO has an alpha of 0.018, implying that it can generate a 0.018 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). BS2 ALLINVESTMENTS Price Density |
| Price |
Predictive Modules for BS2 ALLINVESTMENTS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BS2 ALLINVESTMENTS FDO. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.BS2 ALLINVESTMENTS Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. BS2 ALLINVESTMENTS is not an exception. The market had few large corrections towards the BS2 ALLINVESTMENTS'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 BS2 ALLINVESTMENTS FDO, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of BS2 ALLINVESTMENTS within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | -0.01 | |
σ | Overall volatility | 0.64 | |
Ir | Information ratio | -0.02 |
BS2 ALLINVESTMENTS Technical Analysis
BS2 ALLINVESTMENTS's future price can be derived by breaking down and analyzing its technical indicators over time. BS2 Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BS2 ALLINVESTMENTS FDO. In general, you should focus on analyzing BS2 Fund price patterns and their correlations with different microeconomic environments and drivers.
BS2 ALLINVESTMENTS Predictive Forecast Models
BS2 ALLINVESTMENTS's time-series forecasting models is one of many BS2 ALLINVESTMENTS's fund 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 BS2 ALLINVESTMENTS'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 fund 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 BS2 ALLINVESTMENTS 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, BS2 ALLINVESTMENTS's short interest history, or implied volatility extrapolated from BS2 ALLINVESTMENTS options trading.
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