Htek It (Brazil) Odds of Future Etf Price Finishing Over 57.1
| HTEK11 Etf | 58.15 0.74 1.26% |
Htek |
Htek It Target Price Odds to finish over 57.1
The tendency of Htek Etf 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 57.10 in 90 days |
| 58.15 | 90 days | 57.10 | about 23.1 |
Based on a normal probability distribution, the odds of Htek It to stay above 57.10 in 90 days from now is about 23.1 (This Htek It probability density function shows the probability of Htek Etf to fall within a particular range of prices over 90 days) . Probability of Htek It price to stay between 57.10 and its current price of 58.15 at the end of the 90-day period is about 16.23 .
Assuming the 90 days trading horizon Htek It has a beta of -0.0885. This usually indicates as returns on the benchmark increase, returns on holding Htek It are expected to decrease at a much lower rate. During a bear market, however, Htek It is likely to outperform the market. Additionally Htek It has an alpha of 0.0809, implying that it can generate a 0.0809 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Htek It Price Density |
| Price |
Predictive Modules for Htek It
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Htek It. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Htek It Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Htek It is not an exception. The market had few large corrections towards the Htek It'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 Htek It, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Htek It within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.08 | |
β | Beta against Dow Jones | -0.09 | |
σ | Overall volatility | 1.40 | |
Ir | Information ratio | -0.03 |
Htek It Technical Analysis
Htek It's future price can be derived by breaking down and analyzing its technical indicators over time. Htek Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Htek It. In general, you should focus on analyzing Htek Etf price patterns and their correlations with different microeconomic environments and drivers.
Htek It Predictive Forecast Models
Htek It's time-series forecasting models is one of many Htek It's etf 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 Htek It'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 etf 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 Htek It 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, Htek It's short interest history, or implied volatility extrapolated from Htek It options trading.