ANZ Group (Australia) Probability of Future Stock Price Finishing Under 100.04
| AN3PK Stock | 103.70 0.03 0.03% |
ANZ |
ANZ Group Target Price Odds to finish below 100.04
The tendency of ANZ 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 drop to 100.04 or more in 90 days |
| 103.70 | 90 days | 100.04 | near 1 |
Based on a normal probability distribution, the odds of ANZ Group to drop to 100.04 or more in 90 days from now is near 1 (This ANZ Group Holdings probability density function shows the probability of ANZ Stock to fall within a particular range of prices over 90 days) . Probability of ANZ Group Holdings price to stay between 100.04 and its current price of 103.7 at the end of the 90-day period is about 72.63 .
Assuming the 90 days trading horizon ANZ Group Holdings has a beta of -0.0538. This suggests as returns on the benchmark increase, returns on holding ANZ Group are expected to decrease at a much lower rate. During a bear market, however, ANZ Group Holdings is likely to outperform the market. Additionally ANZ Group Holdings has an alpha of 0.0386, implying that it can generate a 0.0386 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). ANZ Group Price Density |
| Price |
Predictive Modules for ANZ Group
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ANZ Group Holdings. 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.ANZ Group Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. ANZ Group is not an exception. The market had few large corrections towards the ANZ Group'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 ANZ Group Holdings, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ANZ Group within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | -0.05 | |
σ | Overall volatility | 0.96 | |
Ir | Information ratio | -0.37 |
ANZ Group Technical Analysis
ANZ Group's future price can be derived by breaking down and analyzing its technical indicators over time. ANZ Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ANZ Group Holdings. In general, you should focus on analyzing ANZ Stock price patterns and their correlations with different microeconomic environments and drivers.
ANZ Group Predictive Forecast Models
ANZ Group's time-series forecasting models is one of many ANZ Group'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 ANZ Group'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 ANZ Group 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, ANZ Group's short interest history, or implied volatility extrapolated from ANZ Group options trading.
Other Information on Investing in ANZ Stock
ANZ Group financial ratios help investors to determine whether ANZ Stock 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 ANZ with respect to the benefits of owning ANZ Group security.