UBS ETF (Germany) Analysis
| UIQN Etf | EUR 13.84 0.05 0.36% |
UBS ETF is overvalued with Real Value of 12.71 and Hype Value of 13.84. The main objective of UBS ETF etf analysis is to determine its intrinsic value, which is an estimate of what UBS ETF is worth, separate from its market price. There are two main types of UBS Etf analysis: fundamental analysis and technical analysis.
The UBS ETF etf is traded in Germany on Frankfurt Exchange, with the market opening at 08:00:00 and closing at 22:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and UBS ETF's ongoing operational relationships across important fundamental and technical indicators.
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Technical Drivers
As of the 12th of December 2024, UBS ETF has the Downside Deviation of 0.8811, risk adjusted performance of 0.0325, and Market Risk Adjusted Performance of (0.17). Our technical analysis interface makes it possible for you to check practical technical drivers of UBS ETF, as well as the relationship between them. Please validate UBS ETF treynor ratio, value at risk, downside variance, as well as the relationship between the maximum drawdown and potential upside to decide if UBS ETF is priced adequately, providing market reflects its prevalent price of 13.84 per share.UBS ETF Price Movement Analysis
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UBS ETF Predictive Daily Indicators
UBS ETF intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of UBS ETF etf daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
UBS ETF Forecast Models
UBS ETF's time-series forecasting models are one of many UBS ETF's etf analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These non-stationary UBS ETF'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 market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our etf analysis tools, you can find out how much better you can do when adding UBS ETF to your portfolios without increasing risk or reducing expected return.Did you try this?
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Other Information on Investing in UBS Etf
UBS ETF financial ratios help investors to determine whether UBS Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in UBS with respect to the benefits of owning UBS ETF security.