Aurora Eiendom (Norway) Probability of Future Stock Price Finishing Over 75.43
| AURA Stock | 79.50 1.00 1.27% |
Aurora |
Aurora Eiendom Target Price Odds to finish over 75.43
The tendency of Aurora 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 75.43 in 90 days |
| 79.50 | 90 days | 75.43 | over 95.1 |
Based on a normal probability distribution, the odds of Aurora Eiendom to stay above 75.43 in 90 days from now is over 95.1 (This Aurora Eiendom AS probability density function shows the probability of Aurora Stock to fall within a particular range of prices over 90 days) . Probability of Aurora Eiendom AS price to stay between 75.43 and its current price of 79.5 at the end of the 90-day period is about 72.96 .
Assuming the 90 days trading horizon Aurora Eiendom AS has a beta of -0.0235. This suggests as returns on the benchmark increase, returns on holding Aurora Eiendom are expected to decrease at a much lower rate. During a bear market, however, Aurora Eiendom AS is likely to outperform the market. Additionally Aurora Eiendom AS has an alpha of 0.0765, implying that it can generate a 0.0765 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Aurora Eiendom Price Density |
| Price |
Predictive Modules for Aurora Eiendom
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aurora Eiendom AS. 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.Aurora Eiendom Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Aurora Eiendom is not an exception. The market had few large corrections towards the Aurora Eiendom'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 Aurora Eiendom AS, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Aurora Eiendom within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.08 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 1.68 | |
Ir | Information ratio | -0.02 |
Aurora Eiendom Technical Analysis
Aurora Eiendom's future price can be derived by breaking down and analyzing its technical indicators over time. Aurora Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Aurora Eiendom AS. In general, you should focus on analyzing Aurora Stock price patterns and their correlations with different microeconomic environments and drivers.
Aurora Eiendom Predictive Forecast Models
Aurora Eiendom's time-series forecasting models is one of many Aurora Eiendom'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 Aurora Eiendom'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 Aurora Eiendom 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, Aurora Eiendom's short interest history, or implied volatility extrapolated from Aurora Eiendom options trading.