Nordnet Teknologi (Ireland) Probability of Future Fund Price Finishing Over 238.79
| 0P0001M5YQ | 238.11 3.94 1.68% |
Nordnet |
Nordnet Teknologi Target Price Odds to finish over 238.79
The tendency of Nordnet 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 move over 238.79 or more in 90 days |
| 238.11 | 90 days | 238.79 | about 5.74 |
Based on a normal probability distribution, the odds of Nordnet Teknologi to move over 238.79 or more in 90 days from now is about 5.74 (This Nordnet Teknologi Indeks probability density function shows the probability of Nordnet Fund to fall within a particular range of prices over 90 days) . Probability of Nordnet Teknologi Indeks price to stay between its current price of 238.11 and 238.79 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Nordnet Teknologi has a beta of 0.0771. This suggests as returns on the market go up, Nordnet Teknologi average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Nordnet Teknologi Indeks will be expected to be much smaller as well. Additionally Nordnet Teknologi Indeks has an alpha of 0.2336, implying that it can generate a 0.23 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Nordnet Teknologi Price Density |
| Price |
Predictive Modules for Nordnet Teknologi
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nordnet Teknologi Indeks. 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.Nordnet Teknologi Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Nordnet Teknologi is not an exception. The market had few large corrections towards the Nordnet Teknologi'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 Nordnet Teknologi Indeks, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Nordnet Teknologi within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.23 | |
β | Beta against Dow Jones | 0.08 | |
σ | Overall volatility | 9.03 | |
Ir | Information ratio | 0.18 |
Nordnet Teknologi Technical Analysis
Nordnet Teknologi's future price can be derived by breaking down and analyzing its technical indicators over time. Nordnet Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Nordnet Teknologi Indeks. In general, you should focus on analyzing Nordnet Fund price patterns and their correlations with different microeconomic environments and drivers.
Nordnet Teknologi Predictive Forecast Models
Nordnet Teknologi's time-series forecasting models is one of many Nordnet Teknologi'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 Nordnet Teknologi'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 Nordnet Teknologi 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, Nordnet Teknologi's short interest history, or implied volatility extrapolated from Nordnet Teknologi options trading.
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |