SKAGEN AVKASTNING (Norway) Probability of Future Fund Price Finishing Under 148.11
| NO0008000452 | 148.42 0.02 0.01% |
SKAGEN |
SKAGEN AVKASTNING Target Price Odds to finish below 148.11
The tendency of SKAGEN 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 148.11 or more in 90 days |
| 148.42 | 90 days | 148.11 | about 86.04 |
Based on a normal probability distribution, the odds of SKAGEN AVKASTNING to drop to 148.11 or more in 90 days from now is about 86.04 (This SKAGEN AVKASTNING probability density function shows the probability of SKAGEN Fund to fall within a particular range of prices over 90 days) . Probability of SKAGEN AVKASTNING price to stay between 148.11 and its current price of 148.42 at the end of the 90-day period is about 6.66 .
Assuming the 90 days trading horizon SKAGEN AVKASTNING has a beta of -0.0019. This indicates as returns on the benchmark increase, returns on holding SKAGEN AVKASTNING are expected to decrease at a much lower rate. During a bear market, however, SKAGEN AVKASTNING is likely to outperform the market. Additionally SKAGEN AVKASTNING has an alpha of 0.0175, implying that it can generate a 0.0175 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SKAGEN AVKASTNING Price Density |
| Price |
Predictive Modules for SKAGEN AVKASTNING
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SKAGEN AVKASTNING. 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.SKAGEN AVKASTNING Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SKAGEN AVKASTNING is not an exception. The market had few large corrections towards the SKAGEN AVKASTNING'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 SKAGEN AVKASTNING, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SKAGEN AVKASTNING within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | -0.0019 | |
σ | Overall volatility | 0.77 | |
Ir | Information ratio | -3.67 |
SKAGEN AVKASTNING Technical Analysis
SKAGEN AVKASTNING's future price can be derived by breaking down and analyzing its technical indicators over time. SKAGEN Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SKAGEN AVKASTNING. In general, you should focus on analyzing SKAGEN Fund price patterns and their correlations with different microeconomic environments and drivers.
SKAGEN AVKASTNING Predictive Forecast Models
SKAGEN AVKASTNING's time-series forecasting models is one of many SKAGEN AVKASTNING'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 SKAGEN AVKASTNING'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 SKAGEN AVKASTNING 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, SKAGEN AVKASTNING's short interest history, or implied volatility extrapolated from SKAGEN AVKASTNING options trading.
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