Ubs Ag London Etf Chance of Future Etf Price Finishing Over 37.72
| WUCT Etf | 38.15 1.78 4.89% |
UBS |
UBS AG Target Price Odds to finish over 37.72
The tendency of UBS Etf price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above 37.72 in 90 days |
| 38.15 | 90 days | 37.72 | near 1 |
Based on a normal probability distribution, the odds of UBS AG to stay above 37.72 in 90 days from now is near 1 (This UBS AG London probability density function shows the probability of UBS Etf to fall within a particular range of prices over 90 days) . Probability of UBS AG London price to stay between 37.72 and its current price of 38.15 at the end of the 90-day period is near 1 .
Given the investment horizon of 90 days UBS AG has a beta of 0.44. This entails as returns on the market go up, UBS AG average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding UBS AG London will be expected to be much smaller as well. Additionally UBS AG London has an alpha of 0.1424, implying that it can generate a 0.14 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). UBS AG Price Density |
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Predictive Modules for UBS AG
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 AG London. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of UBS AG's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
UBS AG Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. UBS AG is not an exception. The market had few large corrections towards the UBS AG's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold UBS AG London, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of UBS AG within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.14 | |
β | Beta against Dow Jones | 0.44 | |
σ | Overall volatility | 0.97 | |
Ir | Information ratio | 0.07 |
UBS AG Technical Analysis
UBS AG's future price can be derived by breaking down and analyzing its technical indicators over time. UBS Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of UBS AG London. In general, you should focus on analyzing UBS Etf price patterns and their correlations with different microeconomic environments and drivers.
UBS AG Predictive Forecast Models
UBS AG's time-series forecasting models is one of many UBS AG's etf analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary UBS AG's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the etf market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards UBS AG in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, UBS AG's short interest history, or implied volatility extrapolated from UBS AG options trading.
Check out UBS AG Backtesting, Portfolio Optimization, UBS AG Correlation, UBS AG Hype Analysis, UBS AG Volatility, UBS AG History as well as UBS AG Performance. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
The market value of UBS AG London is measured differently than its book value, which is the value of UBS that is recorded on the company's balance sheet. Investors also form their own opinion of UBS AG's value that differs from its market value or its book value, called intrinsic value, which is UBS AG'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 UBS AG's market value can be influenced by many factors that don't directly affect UBS AG'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 UBS AG's value and its price as these two are different measures arrived at by different means. Investors typically determine if UBS AG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, UBS AG'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.