Ubs Ag London Etf Market Value
| MLPB Etf | USD 26.72 0.42 1.55% |
| Symbol | UBS |
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.
UBS AG '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 AG'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 AG.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in UBS AG on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding UBS AG London or generate 0.0% return on investment in UBS AG over 30 days. UBS AG is related to or competes with Ultimus Managers, American Beacon, Direxion Daily, Direxion Daily, EA Series, Global X, and ETRACS Quarterly. The ETRACS Alerian MLP Infrastructure Index ETN Series B is senior unsecured debt securities issued by UBS More
UBS AG 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 AG'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 AG London upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7456 | |||
| Information Ratio | 0.0588 | |||
| Maximum Drawdown | 4.46 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 1.54 |
UBS AG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UBS AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UBS AG's standard deviation. In reality, there are many statistical measures that can use UBS AG historical prices to predict the future UBS AG's volatility.| Risk Adjusted Performance | 0.1467 | |||
| Jensen Alpha | 0.1089 | |||
| Total Risk Alpha | 0.0376 | |||
| Sortino Ratio | 0.0678 | |||
| Treynor Ratio | 0.3534 |
UBS AG London Backtested Returns
At this point, UBS AG is very steady. UBS AG London owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.23, which indicates the etf had a 0.23% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for UBS AG London, which you can use to evaluate the volatility of the entity. Please validate UBS AG's Downside Deviation of 0.7456, market risk adjusted performance of 0.3634, and Risk Adjusted Performance of 0.1467 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. The entity has a beta of 0.44, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, UBS AG's returns are expected to increase less than the market. However, during the bear market, the loss of holding UBS AG is expected to be smaller as well.
Auto-correlation | 0.59 |
Modest predictability
UBS AG London has modest predictability. Overlapping area represents the amount of predictability between UBS AG time series from 4th of November 2024 to 19th of November 2024 and 19th of November 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 AG London price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current UBS AG price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.31 |
UBS AG London lagged returns against current returns
Autocorrelation, which is UBS AG 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 AG's etf expected returns. We can calculate the autocorrelation of UBS AG returns to help us make a trade decision. For example, suppose you find that UBS AG 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 AG 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 AG etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UBS AG etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UBS AG etf over time.
Current vs Lagged Prices |
| Timeline |
UBS AG Lagged Returns
When evaluating UBS AG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UBS AG etf have on its future price. UBS AG 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 AG autocorrelation shows the relationship between UBS AG etf current value and its past values and can show if there is a momentum factor associated with investing in UBS AG London.
Regressed Prices |
| Timeline |
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.When determining whether UBS AG London is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if UBS Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ubs Ag London Etf. Highlighted below are key reports to facilitate an investment decision about Ubs Ag London Etf:Check out UBS AG Correlation, UBS AG Volatility and UBS AG Alpha and Beta module to complement your research on UBS AG. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
UBS AG technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.