Aberdeen Australia Ef Fund Probability of Future Fund Price Finishing Under 4.46
| IAF Fund | USD 4.47 0.03 0.67% |
Aberdeen |
Aberdeen Australia Target Price Odds to finish below 4.46
The tendency of Aberdeen 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 $ 4.46 or more in 90 days |
| 4.47 | 90 days | 4.46 | about 68.73 |
Based on a normal probability distribution, the odds of Aberdeen Australia to drop to $ 4.46 or more in 90 days from now is about 68.73 (This Aberdeen Australia Ef probability density function shows the probability of Aberdeen Fund to fall within a particular range of prices over 90 days) . Probability of Aberdeen Australia price to stay between $ 4.46 and its current price of $4.47 at the end of the 90-day period is nearly 4.27 .
Considering the 90-day investment horizon Aberdeen Australia has a beta of 0.43. This usually indicates as returns on the market go up, Aberdeen Australia average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Aberdeen Australia Ef will be expected to be much smaller as well. Additionally Aberdeen Australia Ef has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Aberdeen Australia Price Density |
| Price |
Predictive Modules for Aberdeen Australia
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aberdeen Australia. 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.Aberdeen Australia Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Aberdeen Australia is not an exception. The market had few large corrections towards the Aberdeen Australia'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 Aberdeen Australia Ef, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Aberdeen Australia within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.02 | |
β | Beta against Dow Jones | 0.43 | |
σ | Overall volatility | 0.08 | |
Ir | Information ratio | -0.09 |
Aberdeen Australia Technical Analysis
Aberdeen Australia's future price can be derived by breaking down and analyzing its technical indicators over time. Aberdeen Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Aberdeen Australia Ef. In general, you should focus on analyzing Aberdeen Fund price patterns and their correlations with different microeconomic environments and drivers.
Aberdeen Australia Predictive Forecast Models
Aberdeen Australia's time-series forecasting models is one of many Aberdeen Australia'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 Aberdeen Australia'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 Aberdeen Australia 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, Aberdeen Australia's short interest history, or implied volatility extrapolated from Aberdeen Australia options trading.
Other Information on Investing in Aberdeen Fund
Aberdeen Australia financial ratios help investors to determine whether Aberdeen Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Aberdeen with respect to the benefits of owning Aberdeen Australia security.
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |