ARCTIC HIGH (Norway) Probability of Future Fund Price Finishing Under 2,019
| IE00B3VBZH49 | 2,039 3.08 0.15% |
ARCTIC |
ARCTIC HIGH Target Price Odds to finish below 2,019
The tendency of ARCTIC 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 move below current price in 90 days |
| 2,039 | 90 days | 2,039 | over 95.97 |
Based on a normal probability distribution, the odds of ARCTIC HIGH to move below current price in 90 days from now is over 95.97 (This ARCTIC HIGH RETURN probability density function shows the probability of ARCTIC Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon ARCTIC HIGH RETURN has a beta of -0.0066. This usually indicates as returns on the benchmark increase, returns on holding ARCTIC HIGH are expected to decrease at a much lower rate. During a bear market, however, ARCTIC HIGH RETURN is likely to outperform the market. Additionally ARCTIC HIGH RETURN has an alpha of 0.0197, implying that it can generate a 0.0197 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). ARCTIC HIGH Price Density |
| Price |
Predictive Modules for ARCTIC HIGH
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ARCTIC HIGH RETURN. 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as ARCTIC HIGH. Your research has to be compared to or analyzed against ARCTIC HIGH's peers to derive any actionable benefits. When done correctly, ARCTIC HIGH's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in ARCTIC HIGH RETURN.ARCTIC HIGH Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. ARCTIC HIGH is not an exception. The market had few large corrections towards the ARCTIC HIGH'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 ARCTIC HIGH RETURN, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ARCTIC HIGH within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | -0.0066 | |
σ | Overall volatility | 11.03 | |
Ir | Information ratio | -0.44 |
ARCTIC HIGH Technical Analysis
ARCTIC HIGH's future price can be derived by breaking down and analyzing its technical indicators over time. ARCTIC Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ARCTIC HIGH RETURN. In general, you should focus on analyzing ARCTIC Fund price patterns and their correlations with different microeconomic environments and drivers.
ARCTIC HIGH Predictive Forecast Models
ARCTIC HIGH's time-series forecasting models is one of many ARCTIC HIGH'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 ARCTIC HIGH'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 ARCTIC HIGH 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, ARCTIC HIGH's short interest history, or implied volatility extrapolated from ARCTIC HIGH options trading.
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