Nordea Norwegian (Ireland) Probability of Future Fund Price Finishing Under 168.24
| 0P0001IIFG | 169.65 0.66 0.39% |
Nordea |
Nordea Norwegian Target Price Odds to finish below 168.24
The tendency of Nordea 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 168.24 or more in 90 days |
| 169.65 | 90 days | 168.24 | about 76.28 |
Based on a normal probability distribution, the odds of Nordea Norwegian to drop to 168.24 or more in 90 days from now is about 76.28 (This Nordea Norwegian Stars probability density function shows the probability of Nordea Fund to fall within a particular range of prices over 90 days) . Probability of Nordea Norwegian Stars price to stay between 168.24 and its current price of 169.65 at the end of the 90-day period is about 10.52 .
Assuming the 90 days trading horizon Nordea Norwegian has a beta of 0.0193. This suggests as returns on the market go up, Nordea Norwegian average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Nordea Norwegian Stars will be expected to be much smaller as well. Additionally Nordea Norwegian Stars has an alpha of 0.0653, implying that it can generate a 0.0653 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Nordea Norwegian Price Density |
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Predictive Modules for Nordea Norwegian
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nordea Norwegian Stars. 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.Nordea Norwegian Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Nordea Norwegian is not an exception. The market had few large corrections towards the Nordea Norwegian'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 Nordea Norwegian Stars, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Nordea Norwegian within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.02 | |
σ | Overall volatility | 3.46 | |
Ir | Information ratio | -0.1 |
Nordea Norwegian Technical Analysis
Nordea Norwegian's future price can be derived by breaking down and analyzing its technical indicators over time. Nordea Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Nordea Norwegian Stars. In general, you should focus on analyzing Nordea Fund price patterns and their correlations with different microeconomic environments and drivers.
Nordea Norwegian Predictive Forecast Models
Nordea Norwegian's time-series forecasting models is one of many Nordea Norwegian'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 Nordea Norwegian'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 Nordea Norwegian 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, Nordea Norwegian's short interest history, or implied volatility extrapolated from Nordea Norwegian options trading.
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