Westpac Banking Stock Forecast - Double Exponential Smoothing

WBCPI Stock   100.32  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Westpac Banking on the next trading day is expected to be 100.32 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Westpac Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Westpac Banking stock prices and determine the direction of Westpac Banking's future trends based on various well-known forecasting models. 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.
  
At present, Westpac Banking's Short and Long Term Debt Total is projected to decrease significantly based on the last few years of reporting. The current year's Other Stockholder Equity is expected to grow to about 2.7 B, whereas Total Assets are forecasted to decline to about 1 T.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Westpac Banking works best with periods where there are trends or seasonality.

Westpac Banking Double Exponential Smoothing Price Forecast For the 15th of December 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Westpac Banking on the next trading day is expected to be 100.32 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Westpac Stock 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 Stock Forecast Pattern

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Westpac Banking Forecasted Value

In the context of forecasting Westpac Banking's Stock 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 100.32 and 100.32, 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.
Market Value
100.32
100.32
Downside
100.32
Expected Value
100.32
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Westpac Banking stock data series using in forecasting. Note that when a statistical model is used to represent Westpac Banking stock, 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
When Westpac Banking prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Westpac Banking trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Westpac Banking observations are given relatively more weight in forecasting than the older observations.

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 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.
Hype
Prediction
LowEstimatedHigh
100.32100.32100.32
Details
Intrinsic
Valuation
LowRealHigh
100.32100.32100.32
Details

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 Stock 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 stock 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 Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Westpac Banking's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Westpac Banking's current price.

Westpac Banking Market Strength Events

Market strength indicators help investors to evaluate how Westpac Banking stock 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 stock market strength indicators, traders can identify Westpac Banking entry and exit signals to maximize returns.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Other Information on Investing in Westpac Stock

Westpac Banking financial ratios help investors to determine whether Westpac 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 Westpac with respect to the benefits of owning Westpac Banking security.