UBS Group Stock Forecast - Triple Exponential Smoothing

Triple exponential smoothing for UBS Group - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When UBS Group 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 trend in UBS Group price movement. However, neither of these exponential smoothing models address any seasonality of UBS Group AG.

UBS Group Triple Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of UBS Group AG on the next trading day is expected to be 31.73 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.25, and the sum of the absolute errors of 22.68.

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of UBS Group stock data series using in forecasting. Note that when a statistical model is used to represent UBS Group 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. As with simple exponential smoothing, in triple exponential smoothing models past UBS Group observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older UBS Group AG observations.

Predictive Modules for UBS 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 UBS Group AG. 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 Low Estimated High 30.23 31.73 33.23 Details

Intrinsic Valuation Low Real High 31.13 32.62 34.13 Details

Bollinger Band Projection (param) Low Middle High 30.90 32.01 33.12 Details

2 Analysts Consensus Low Target High 30.92 33.98 37.72 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as UBS Group. Your research has to be compared to or analyzed against UBS Group's peers to derive any actionable benefits. When done correctly, UBS Group's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in UBS Group AG.

Other Forecasting Options for UBS Group

For every potential investor in UBS, whether a beginner or expert, UBS Group's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. UBS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in UBS. Basic forecasting techniques help filter out the noise by identifying UBS Group's price trends.

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UBS Group AG 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 UBS Group'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 UBS Group's current price.

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