ANZ Group Pink Sheet Forecast - Polynomial Regression
| ANZGFDelisted Stock | 16.38 0.20 1.24% |
The Polynomial Regression forecasted value of ANZ Group Holdings on the next trading day is expected to be 16.21 with a mean absolute deviation of 0.61 and the sum of the absolute errors of 29.32. ANZ Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of ANZ Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
ANZ |
ANZ Group Polynomial Regression Price Forecast For the 30th of November
Given 90 days horizon, the Polynomial Regression forecasted value of ANZ Group Holdings on the next trading day is expected to be 16.21 with a mean absolute deviation of 0.61, mean absolute percentage error of 0.63, and the sum of the absolute errors of 29.32.Please note that although there have been many attempts to predict ANZ Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that ANZ Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ANZ Group Pink Sheet Forecast Pattern
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of ANZ Group pink sheet data series using in forecasting. Note that when a statistical model is used to represent ANZ Group pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 93.7502 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6108 |
| MAPE | Mean absolute percentage error | 0.0388 |
| SAE | Sum of the absolute errors | 29.3168 |
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 pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with ANZ Group pink sheet to make a market-neutral strategy. Peer analysis of ANZ Group could also be used in its relative valuation, which is a method of valuing ANZ Group by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ANZ Group Market Strength Events
Market strength indicators help investors to evaluate how ANZ Group pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ANZ Group shares will generate the highest return on investment. By undertsting and applying ANZ Group pink sheet market strength indicators, traders can identify ANZ Group Holdings entry and exit signals to maximize returns.
ANZ Group Risk Indicators
The analysis of ANZ Group's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in ANZ Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting anz pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 2.5 | |||
| Semi Deviation | 2.78 | |||
| Standard Deviation | 3.56 | |||
| Variance | 12.65 | |||
| Downside Variance | 14.15 | |||
| Semi Variance | 7.73 | |||
| Expected Short fall | (4.41) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Currently Active Assets on Macroaxis
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Consideration for investing in ANZ Pink Sheet
If you are still planning to invest in ANZ Group Holdings check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the ANZ Group's history and understand the potential risks before investing.
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