KLP AksjeEuropa (Ireland) Probability of Future Fund Price Finishing Under 1837.42
| 0P00016TMM | 1,874 0.00 0.00% |
KLP |
KLP AksjeEuropa Target Price Odds to finish below 1837.42
The tendency of KLP 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 1,837 or more in 90 days |
| 1,874 | 90 days | 1,837 | about 20.92 |
Based on a normal probability distribution, the odds of KLP AksjeEuropa to drop to 1,837 or more in 90 days from now is about 20.92 (This KLP AksjeEuropa Indeks probability density function shows the probability of KLP Fund to fall within a particular range of prices over 90 days) . Probability of KLP AksjeEuropa Indeks price to stay between 1,837 and its current price of 1873.99 at the end of the 90-day period is about 56.14 .
Assuming the 90 days trading horizon KLP AksjeEuropa Indeks has a beta of -0.095. This suggests as returns on the benchmark increase, returns on holding KLP AksjeEuropa are expected to decrease at a much lower rate. During a bear market, however, KLP AksjeEuropa Indeks is likely to outperform the market. Additionally KLP AksjeEuropa Indeks has an alpha of 0.0331, implying that it can generate a 0.0331 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). KLP AksjeEuropa Price Density |
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Predictive Modules for KLP AksjeEuropa
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KLP AksjeEuropa 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.KLP AksjeEuropa Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. KLP AksjeEuropa is not an exception. The market had few large corrections towards the KLP AksjeEuropa'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 KLP AksjeEuropa Indeks, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of KLP AksjeEuropa within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.1 | |
σ | Overall volatility | 23.60 | |
Ir | Information ratio | -0.1 |
KLP AksjeEuropa Technical Analysis
KLP AksjeEuropa's future price can be derived by breaking down and analyzing its technical indicators over time. KLP Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of KLP AksjeEuropa Indeks. In general, you should focus on analyzing KLP Fund price patterns and their correlations with different microeconomic environments and drivers.
KLP AksjeEuropa Predictive Forecast Models
KLP AksjeEuropa's time-series forecasting models is one of many KLP AksjeEuropa'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 KLP AksjeEuropa'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 KLP AksjeEuropa 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, KLP AksjeEuropa's short interest history, or implied volatility extrapolated from KLP AksjeEuropa options trading.
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