UBS Group Stock Forecast - 4 Period Moving Average

UBSG34 Stock  BRL 193.99  0.44  0.23%   
The 4 Period Moving Average forecasted value of UBS Group AG on the next trading day is expected to be 194.02 with a mean absolute deviation of 2.49 and the sum of the absolute errors of 144.46. UBS Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast UBS Group stock prices and determine the direction of UBS Group AG's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of UBS Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for UBS Group AG is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

UBS Group 4 Period Moving Average Price Forecast For the 15th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of UBS Group AG on the next trading day is expected to be 194.02 with a mean absolute deviation of 2.49, mean absolute percentage error of 12.02, and the sum of the absolute errors of 144.46.
Please note that although there have been many attempts to predict UBS 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 UBS Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

UBS Group Stock Forecast Pattern

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UBS Group Forecasted Value

In the context of forecasting UBS Group'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. UBS Group's downside and upside margins for the forecasting period are 192.62 and 195.42, respectively. We have considered UBS Group'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
193.99
192.62
Downside
194.02
Expected Value
195.42
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average 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.
AICAkaike Information Criteria115.0838
BiasArithmetic mean of the errors -1.2458
MADMean absolute deviation2.4906
MAPEMean absolute percentage error0.0134
SAESum of the absolute errors144.4575
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of UBS Group. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for UBS Group AG and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

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
LowEstimatedHigh
192.59193.99195.39
Details
Intrinsic
Valuation
LowRealHigh
162.13163.53213.39
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.

UBS 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 UBS Group stock to make a market-neutral strategy. Peer analysis of UBS Group could also be used in its relative valuation, which is a method of valuing UBS Group by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

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.

UBS Group Market Strength Events

Market strength indicators help investors to evaluate how UBS Group stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading UBS Group shares will generate the highest return on investment. By undertsting and applying UBS Group stock market strength indicators, traders can identify UBS Group AG entry and exit signals to maximize returns.

UBS Group Risk Indicators

The analysis of UBS 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 UBS Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ubs 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.
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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Information and Resources on Investing in UBS Stock

When determining whether UBS Group AG is a strong investment it is important to analyze UBS Group's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact UBS Group's future performance. For an informed investment choice regarding UBS Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of UBS Group to cross-verify your projections.
You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Please note, there is a significant difference between UBS Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if UBS Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, UBS Group'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.