NICE Information (Korea) Probability of Future Stock Price Finishing Over 13,717
| 030190 Stock | 12,390 110.00 0.88% |
NICE |
NICE Information Target Price Odds to finish over 13,717
The tendency of NICE 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 move above the current price in 90 days |
| 12,390 | 90 days | 12,390 | nearly 4.6 |
Based on a normal probability distribution, the odds of NICE Information to move above the current price in 90 days from now is nearly 4.6 (This NICE Information Service probability density function shows the probability of NICE Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon NICE Information Service has a beta of -0.48. This suggests as returns on the benchmark increase, returns on holding NICE Information are expected to decrease at a much lower rate. During a bear market, however, NICE Information Service is likely to outperform the market. Additionally NICE Information Service has an alpha of 0.3738, implying that it can generate a 0.37 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). NICE Information Price Density |
| Price |
Predictive Modules for NICE Information
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NICE Information Service. 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.NICE Information Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. NICE Information is not an exception. The market had few large corrections towards the NICE Information'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 NICE Information Service, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of NICE Information within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.37 | |
β | Beta against Dow Jones | -0.48 | |
σ | Overall volatility | 684.89 | |
Ir | Information ratio | 0.17 |
NICE Information Technical Analysis
NICE Information's future price can be derived by breaking down and analyzing its technical indicators over time. NICE Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of NICE Information Service. In general, you should focus on analyzing NICE Stock price patterns and their correlations with different microeconomic environments and drivers.
NICE Information Predictive Forecast Models
NICE Information's time-series forecasting models is one of many NICE Information'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 NICE Information'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 NICE Information 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, NICE Information's short interest history, or implied volatility extrapolated from NICE Information options trading.
Other Information on Investing in NICE Stock
NICE Information financial ratios help investors to determine whether NICE Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in NICE with respect to the benefits of owning NICE Information security.