Woori Financial Stock Forecast - Simple Exponential Smoothing
| WF Stock | USD 58.79 0.06 0.10% |
The Simple Exponential Smoothing forecasted value of Woori Financial Group on the next trading day is expected to be 58.79 with a mean absolute deviation of 0.67 and the sum of the absolute errors of 40.30. Woori Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Woori Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 2nd of January 2026 the relative strength index (rsi) of Woori Financial's share price is below 20 . This entails that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.42 | EPS Estimate Next Quarter 2.2 K | EPS Estimate Current Year 12.8 K | EPS Estimate Next Year 13.3 K | Wall Street Target Price 71.9395 |
Using Woori Financial hype-based prediction, you can estimate the value of Woori Financial Group from the perspective of Woori Financial response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Woori Financial Group on the next trading day is expected to be 58.79 with a mean absolute deviation of 0.67 and the sum of the absolute errors of 40.30. Woori Financial after-hype prediction price | USD 58.79 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Woori Financial to cross-verify your projections. Woori Financial Additional Predictive Modules
Most predictive techniques to examine Woori price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Woori using various technical indicators. When you analyze Woori 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 |
Woori Financial Simple Exponential Smoothing Price Forecast For the 3rd of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Woori Financial Group on the next trading day is expected to be 58.79 with a mean absolute deviation of 0.67, mean absolute percentage error of 0.90, and the sum of the absolute errors of 40.30.Please note that although there have been many attempts to predict Woori 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 Woori Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Woori Financial Stock Forecast Pattern
| Backtest Woori Financial | Woori Financial Price Prediction | Buy or Sell Advice |
Woori Financial Forecasted Value
In the context of forecasting Woori Financial'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. Woori Financial's downside and upside margins for the forecasting period are 57.06 and 60.52, respectively. We have considered Woori Financial'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Woori Financial stock data series using in forecasting. Note that when a statistical model is used to represent Woori Financial 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.| AIC | Akaike Information Criteria | 116.1713 |
| Bias | Arithmetic mean of the errors | -0.0553 |
| MAD | Mean absolute deviation | 0.6717 |
| MAPE | Mean absolute percentage error | 0.0121 |
| SAE | Sum of the absolute errors | 40.3024 |
Predictive Modules for Woori Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Woori Financial Group. 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.Other Forecasting Options for Woori Financial
For every potential investor in Woori, whether a beginner or expert, Woori Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Woori Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Woori. Basic forecasting techniques help filter out the noise by identifying Woori Financial's price trends.Woori Financial 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 Woori Financial stock to make a market-neutral strategy. Peer analysis of Woori Financial could also be used in its relative valuation, which is a method of valuing Woori Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Woori Financial Group 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 Woori Financial'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 Woori Financial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Woori Financial Market Strength Events
Market strength indicators help investors to evaluate how Woori Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Woori Financial shares will generate the highest return on investment. By undertsting and applying Woori Financial stock market strength indicators, traders can identify Woori Financial Group entry and exit signals to maximize returns.
Woori Financial Risk Indicators
The analysis of Woori Financial'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 Woori Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting woori stock 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 | 1.26 | |||
| Semi Deviation | 1.64 | |||
| Standard Deviation | 1.73 | |||
| Variance | 2.98 | |||
| Downside Variance | 3.12 | |||
| Semi Variance | 2.7 | |||
| Expected Short fall | (1.36) |
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 Historical Fundamental Analysis of Woori Financial to cross-verify your projections. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Is Diversified Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Woori Financial. If investors know Woori will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Woori Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.42 | Dividend Share 1.3 K | Earnings Share 8.7 | Revenue Per Share | Quarterly Revenue Growth (0.01) |
The market value of Woori Financial Group is measured differently than its book value, which is the value of Woori that is recorded on the company's balance sheet. Investors also form their own opinion of Woori Financial's value that differs from its market value or its book value, called intrinsic value, which is Woori Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Woori Financial's market value can be influenced by many factors that don't directly affect Woori Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Woori Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Woori Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Woori Financial's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.