Westpac Banking Pink Sheet Forecast - Simple Regression
| WEBNF Stock | USD 27.27 1.67 6.52% |
Westpac Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Westpac Banking's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 29th of January 2026, The relative strength index (RSI) of Westpac Banking's share price is at 59. This entails that the pink sheet is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Westpac Banking, making its price go up or down. Momentum 59
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Oversold | Overbought |
Using Westpac Banking hype-based prediction, you can estimate the value of Westpac Banking from the perspective of Westpac Banking response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Westpac Banking on the next trading day is expected to be 25.69 with a mean absolute deviation of 0.64 and the sum of the absolute errors of 39.98. Westpac Banking after-hype prediction price | USD 27.27 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Westpac |
Westpac Banking Additional Predictive Modules
Most predictive techniques to examine Westpac price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Westpac using various technical indicators. When you analyze Westpac charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Westpac Banking Simple Regression Price Forecast For the 30th of January
Given 90 days horizon, the Simple Regression forecasted value of Westpac Banking on the next trading day is expected to be 25.69 with a mean absolute deviation of 0.64, mean absolute percentage error of 0.70, and the sum of the absolute errors of 39.98.Please note that although there have been many attempts to predict Westpac 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 Westpac Banking's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Westpac Banking Pink Sheet Forecast Pattern
| Backtest Westpac Banking | Westpac Banking Price Prediction | Buy or Sell Advice |
Westpac Banking Forecasted Value
In the context of forecasting Westpac Banking's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Westpac Banking's downside and upside margins for the forecasting period are 22.83 and 28.55, respectively. We have considered Westpac Banking's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Westpac Banking pink sheet data series using in forecasting. Note that when a statistical model is used to represent Westpac Banking 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 | 119.5976 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6448 |
| MAPE | Mean absolute percentage error | 0.0258 |
| SAE | Sum of the absolute errors | 39.9778 |
Predictive Modules for Westpac Banking
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Westpac Banking. 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.Westpac Banking After-Hype Price Density Analysis
As far as predicting the price of Westpac Banking at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Westpac Banking or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Westpac Banking, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Westpac Banking Estimiated After-Hype Price Volatility
In the context of predicting Westpac Banking's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Westpac Banking's historical news coverage. Westpac Banking's after-hype downside and upside margins for the prediction period are 24.41 and 30.13, respectively. We have considered Westpac Banking's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Westpac Banking is not too volatile at this time. Analysis and calculation of next after-hype price of Westpac Banking is based on 3 months time horizon.
Westpac Banking Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Westpac Banking is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Westpac Banking backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Westpac Banking, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.23 | 2.86 | 0.09 | 0.01 | 8 Events / Month | 2 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
27.27 | 27.27 | 0.00 |
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Westpac Banking Hype Timeline
Westpac Banking is at this time traded for 27.27. The entity has historical hype elasticity of -0.09, and average elasticity to hype of competition of -0.01. Westpac is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is at this time at 0.23%. %. The volatility of related hype on Westpac Banking is about 5200.0%, with the expected price after the next announcement by competition of 27.26. About 28.0% of the company outstanding shares are owned by institutional investors. The company has Price to Book (P/B) ratio of 1.15. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. Westpac Banking has Price/Earnings To Growth (PEG) ratio of 1.22. The entity last dividend was issued on the 17th of November 2022. The firm had 548:545 split on the 19th of October 2015. Assuming the 90 days horizon the next estimated press release will be in about 8 days. Check out Historical Fundamental Analysis of Westpac Banking to cross-verify your projections.Westpac Banking Related Hype Analysis
Having access to credible news sources related to Westpac Banking's direct competition is more important than ever and may enhance your ability to predict Westpac Banking's future price movements. Getting to know how Westpac Banking's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Westpac Banking may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NABZY | National Australia Bank | (0.39) | 8 per month | 1.40 | 0.05 | 1.95 | (2.22) | 6.74 | |
| NAUBF | National Australia Bank | (0.04) | 2 per month | 0.00 | (0.13) | 0.00 | 0.00 | 15.14 | |
| ANZGY | ANZ Group Holdings | (0.04) | 2 per month | 1.28 | 0.04 | 1.90 | (1.93) | 7.31 | |
| MZHOF | Mizuho Financial Group | 0.00 | 0 per month | 2.52 | 0.13 | 4.81 | (4.49) | 27.97 | |
| BKFCF | Bank of Communications | (0.04) | 2 per month | 0.00 | (0.03) | 0.00 | 0.00 | 13.76 | |
| INGVF | ING Groep NV | 0.00 | 0 per month | 0.00 | 0.13 | 3.92 | (3.12) | 12.39 | |
| BNPQF | BNP Paribas SA | 0.00 | 0 per month | 1.46 | 0.16 | 4.25 | (2.87) | 12.43 | |
| BCLYF | Barclays PLC | 0.00 | 0 per month | 1.60 | 0.17 | 3.99 | (2.61) | 11.85 | |
| BNPQY | BNP Paribas SA | 0.00 | 0 per month | 0.72 | 0.27 | 2.86 | (1.69) | 5.56 | |
| SMFNF | Sumitomo Mitsui Financial | (0.04) | 2 per month | 2.56 | 0.11 | 5.72 | (4.91) | 13.02 |
Other Forecasting Options for Westpac Banking
For every potential investor in Westpac, whether a beginner or expert, Westpac Banking's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Westpac Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Westpac. Basic forecasting techniques help filter out the noise by identifying Westpac Banking's price trends.Westpac Banking 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 Westpac Banking pink sheet to make a market-neutral strategy. Peer analysis of Westpac Banking could also be used in its relative valuation, which is a method of valuing Westpac Banking by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Westpac Banking Market Strength Events
Market strength indicators help investors to evaluate how Westpac Banking 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 Westpac Banking shares will generate the highest return on investment. By undertsting and applying Westpac Banking pink sheet market strength indicators, traders can identify Westpac Banking entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.07 | |||
| Day Median Price | 27.27 | |||
| Day Typical Price | 27.27 | |||
| Price Action Indicator | 0.83 | |||
| Period Momentum Indicator | 1.67 | |||
| Relative Strength Index | 59.04 |
Westpac Banking Risk Indicators
The analysis of Westpac Banking'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 Westpac Banking's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting westpac 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 | 2.02 | |||
| Semi Deviation | 2.4 | |||
| Standard Deviation | 2.91 | |||
| Variance | 8.49 | |||
| Downside Variance | 10.98 | |||
| Semi Variance | 5.74 | |||
| Expected Short fall | (3.15) |
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.
Story Coverage note for Westpac Banking
The number of cover stories for Westpac Banking depends on current market conditions and Westpac Banking's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Westpac Banking is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Westpac Banking's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Westpac Banking Short Properties
Westpac Banking's future price predictability will typically decrease when Westpac Banking's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Westpac Banking often depends not only on the future outlook of the potential Westpac Banking's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Westpac Banking's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 3.5 B | |
| Dividends Paid | 4.3 B | |
| Short Long Term Debt | 29.3 B |
Other Information on Investing in Westpac Pink Sheet
Westpac Banking financial ratios help investors to determine whether Westpac Pink Sheet 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 Westpac with respect to the benefits of owning Westpac Banking security.