NEXG11 (Brazil) Chance of Future Stock Price Finishing Over 124.53
| NEXG11 Stock | 126.00 1.00 0.80% |
NEXG11 |
NEXG11 Target Price Odds to finish over 124.53
The tendency of NEXG11 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 124.53 in 90 days |
| 126.00 | 90 days | 124.53 | nearly 4.43 |
Based on a normal probability distribution, the odds of NEXG11 to stay above 124.53 in 90 days from now is nearly 4.43 (This NEXG11 probability density function shows the probability of NEXG11 Stock to fall within a particular range of prices over 90 days) . Probability of NEXG11 price to stay between 124.53 and its current price of 126.0 at the end of the 90-day period is roughly 2.27 .
Assuming the 90 days trading horizon NEXG11 has a beta of 0.0747. This indicates as returns on the market go up, NEXG11 average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding NEXG11 will be expected to be much smaller as well. Additionally NEXG11 has an alpha of 0.1749, implying that it can generate a 0.17 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). NEXG11 Price Density |
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Predictive Modules for NEXG11
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NEXG11. 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.NEXG11 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. NEXG11 is not an exception. The market had few large corrections towards the NEXG11'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 NEXG11, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of NEXG11 within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.17 | |
β | Beta against Dow Jones | 0.07 | |
σ | Overall volatility | 4.61 | |
Ir | Information ratio | 0.19 |
NEXG11 Technical Analysis
NEXG11's future price can be derived by breaking down and analyzing its technical indicators over time. NEXG11 Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of NEXG11. In general, you should focus on analyzing NEXG11 Stock price patterns and their correlations with different microeconomic environments and drivers.
NEXG11 Predictive Forecast Models
NEXG11's time-series forecasting models is one of many NEXG11'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 NEXG11'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 NEXG11 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, NEXG11's short interest history, or implied volatility extrapolated from NEXG11 options trading.