ISFELAG HF (Iceland) Probability of Future Stock Price Finishing Over 156.40
ISF Stock | 154.60 0.40 0.26% |
ISFELAG |
ISFELAG HF Target Price Odds to finish over 156.40
The tendency of ISFELAG 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 move over 156.40 or more in 90 days |
154.60 | 90 days | 156.40 | about 21.6 |
Based on a normal probability distribution, the odds of ISFELAG HF to move over 156.40 or more in 90 days from now is about 21.6 (This ISFELAG HF probability density function shows the probability of ISFELAG Stock to fall within a particular range of prices over 90 days) . Probability of ISFELAG HF price to stay between its current price of 154.60 and 156.40 at the end of the 90-day period is about 24.06 .
Assuming the 90 days trading horizon ISFELAG HF has a beta of -0.28. This usually indicates as returns on the benchmark increase, returns on holding ISFELAG HF are expected to decrease at a much lower rate. During a bear market, however, ISFELAG HF is likely to outperform the market. Additionally ISFELAG HF has an alpha of 0.0361, implying that it can generate a 0.0361 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). ISFELAG HF Price Density |
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Predictive Modules for ISFELAG HF
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ISFELAG HF. 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.ISFELAG HF Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. ISFELAG HF is not an exception. The market had few large corrections towards the ISFELAG HF'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 ISFELAG HF, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ISFELAG HF within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | -0.28 | |
σ | Overall volatility | 2.66 | |
Ir | Information ratio | -0.1 |
ISFELAG HF Technical Analysis
ISFELAG HF's future price can be derived by breaking down and analyzing its technical indicators over time. ISFELAG Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ISFELAG HF. In general, you should focus on analyzing ISFELAG Stock price patterns and their correlations with different microeconomic environments and drivers.
ISFELAG HF Predictive Forecast Models
ISFELAG HF's time-series forecasting models is one of many ISFELAG HF'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 ISFELAG HF'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 ISFELAG HF 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, ISFELAG HF's short interest history, or implied volatility extrapolated from ISFELAG HF options trading.