UBS Group Stock Forecast - Naive Prediction
| UBS Stock | USD 31.80 0.06 0.19% |
The Naive Prediction forecasted value of UBS Group AG on the next trading day is expected to be 31.61 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 21.87. UBS Stock Forecast is based on your current time horizon.
UBS |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the UBS Group's financial statements to predict how it will affect future prices.
Cash | First Reported 2000-03-31 | Previous Quarter 251.6 B | Current Value 246.6 B | Quarterly Volatility 68 B |
UBS Group Naive Prediction Price Forecast For the 26th of November
Given 90 days horizon, the Naive Prediction forecasted value of UBS Group AG on the next trading day is expected to be 31.61 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.22, and the sum of the absolute errors of 21.87.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 30.11 and 33.11, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction 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.| AIC | Akaike Information Criteria | 116.5933 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3586 |
| MAPE | Mean absolute percentage error | 0.0115 |
| SAE | Sum of the absolute errors | 21.8734 |
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.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.| Cycle Indicators | ||
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| Overlap Studies | ||
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| Volume Indicators |
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.
| Mean Deviation | 1.09 | |||
| Semi Deviation | 1.55 | |||
| Standard Deviation | 1.48 | |||
| Variance | 2.19 | |||
| Downside Variance | 2.56 | |||
| Semi Variance | 2.41 | |||
| Expected Short fall | (1.09) |
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.
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Additional Tools for UBS Stock Analysis
When running UBS Group's price analysis, check to measure UBS Group's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy UBS Group is operating at the current time. Most of UBS Group's value examination focuses on studying past and present price action to predict the probability of UBS Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UBS Group's price. Additionally, you may evaluate how the addition of UBS Group to your portfolios can decrease your overall portfolio volatility.