Ubs Ag Fi Etf Market Value
| FBGX Etf | USD 943.29 10.61 1.11% |
| Symbol | UBS |
The market value of UBS AG FI 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.
| 01/26/2023 |
| 06/19/2024 |
If you would invest 0.00 in UBS AG on January 26, 2023 and sell it all today you would earn a total of 0.00 from holding UBS AG FI or generate 0.0% return on investment in UBS AG over 510 days. UBS AG is related to or competes with Direxion Daily, ProShares Ultra, and ProShares Ultra. The UBS AG FI Enhanced Large Cap Growth ETN due June 19, 2024 are a series of FI Enhanced ETNs 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 FI upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.59 | |||
| Information Ratio | 0.1352 | |||
| Maximum Drawdown | 6.89 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 3.3 |
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 | 0.095 | |||
| Jensen Alpha | 0.2341 | |||
| Total Risk Alpha | 0.2314 | |||
| Sortino Ratio | 0.1479 | |||
| Treynor Ratio | 0.1594 |
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 FI Backtested Returns
We consider UBS AG very steady. UBS AG FI owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.1, which indicates the etf had a 0.1% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for UBS AG FI, which you can use to evaluate the volatility of the entity. Please validate UBS AG's Risk Adjusted Performance of 0.095, downside deviation of 1.59, and Market Risk Adjusted Performance of 0.1694 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The entity has a beta of 1.49, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, UBS AG will likely underperform.
Auto-correlation | 0.85 |
Very good predictability
UBS AG FI has very good predictability. Overlapping area represents the amount of predictability between UBS AG time series from 26th of January 2023 to 8th of October 2023 and 8th of October 2023 to 19th of June 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 FI price movement. The serial correlation of 0.85 indicates that around 85.0% of current UBS AG price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 11.5 K |
UBS AG FI 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 FI.
Regressed Prices |
| Timeline |
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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.Additional Information and Resources on Investing in UBS Etf
When determining whether UBS AG FI offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of UBS AG's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ubs Ag Fi Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ubs Ag Fi 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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.