UBS ETF (Germany) Market Value
| UIQN Etf | EUR 13.63 0.04 0.29% |
| Symbol | UBS |
Please note, there is a significant difference between UBS ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if UBS ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, UBS ETF'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.
UBS ETF 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to UBS ETF's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of UBS ETF.
| 12/10/2023 |
| 12/04/2024 |
If you would invest 0.00 in UBS ETF on December 10, 2023 and sell it all today you would earn a total of 0.00 from holding UBS ETF or generate 0.0% return on investment in UBS ETF over 360 days. UBS ETF is related to or competes with UBS Fund, Xtrackers, Xtrackers Nikkei, SPDR Gold, Vanguard Funds, and IShares Core. More
UBS ETF Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure UBS ETF's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess UBS ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 3.72 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.24 |
UBS ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UBS ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UBS ETF's standard deviation. In reality, there are many statistical measures that can use UBS ETF historical prices to predict the future UBS ETF's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 0.1665 |
UBS ETF Backtested Returns
At this point, UBS ETF is very steady. UBS ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0052, which indicates the etf had a 0.0052% return per unit of standard deviation over the last 3 months. We have found twenty-three technical indicators for UBS ETF , which you can use to evaluate the volatility of the entity. Please validate UBS ETF's Risk Adjusted Performance of (0.01), standard deviation of 0.762, and Market Risk Adjusted Performance of 0.1765 to confirm if the risk estimate we provide is consistent with the expected return of 0.004%. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning UBS ETF are expected to decrease at a much lower rate. During the bear market, UBS ETF is likely to outperform the market.
Auto-correlation | 0.01 |
Virtually no predictability
UBS ETF has virtually no predictability. Overlapping area represents the amount of predictability between UBS ETF time series from 10th of December 2023 to 7th of June 2024 and 7th of June 2024 to 4th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of UBS ETF price movement. The serial correlation of 0.01 indicates that just 1.0% of current UBS ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
UBS ETF lagged returns against current returns
Autocorrelation, which is UBS ETF etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting UBS ETF's etf expected returns. We can calculate the autocorrelation of UBS ETF returns to help us make a trade decision. For example, suppose you find that UBS ETF has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
UBS ETF regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If UBS ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UBS ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UBS ETF etf over time.
Current vs Lagged Prices |
| Timeline |
UBS ETF Lagged Returns
When evaluating UBS ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UBS ETF etf have on its future price. UBS ETF autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, UBS ETF autocorrelation shows the relationship between UBS ETF etf current value and its past values and can show if there is a momentum factor associated with investing in UBS ETF .
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
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.