UBS ETF (Switzerland) Market Value
| SMMCHA Etf | CHF 259.40 2.65 1.01% |
| Symbol | UBS |
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.
| 02/17/2024 |
| 04/17/2024 |
If you would invest 0.00 in UBS ETF on February 17, 2024 and sell it all today you would earn a total of 0.00 from holding UBS ETF SMIM or generate 0.0% return on investment in UBS ETF over 60 days. UBS ETF is related to or competes with UBS ETF. The investment seeks to track the price and yield performance, before fees and expenses, of the SMIM SMI Mid index 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 SMIM upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5445 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 3.12 | |||
| Value At Risk | (1.00) | |||
| Potential Upside | 1.15 |
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 | 0.0286 | |||
| Jensen Alpha | 0.0166 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.3613 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of UBS ETF'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 ETF SMIM Backtested Returns
We consider UBS ETF very steady. UBS ETF SMIM owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0623, which indicates the etf had a 0.0623% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for UBS ETF SMIM, which you can use to evaluate the volatility of the entity. Please validate UBS ETF's Downside Deviation of 0.5445, market risk adjusted performance of 0.3713, and Risk Adjusted Performance of 0.0286 to confirm if the risk estimate we provide is consistent with the expected return of 0.0401%. The entity has a beta of 0.0531, which indicates not very significant fluctuations relative to the market. As returns on the market increase, UBS ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding UBS ETF is expected to be smaller as well.
Auto-correlation | -0.5 |
Modest reverse predictability
UBS ETF SMIM has modest reverse predictability. Overlapping area represents the amount of predictability between UBS ETF time series from 17th of February 2024 to 18th of March 2024 and 18th of March 2024 to 17th of April 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 SMIM price movement. The serial correlation of -0.5 indicates that about 50.0% of current UBS ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 3.88 |
UBS ETF SMIM 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 SMIM.
Regressed Prices |
| Timeline |
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Check out UBS ETF Correlation, UBS ETF Volatility and UBS ETF Alpha and Beta module to complement your research on UBS ETF. For information on how to trade UBS Etf refer to our How to Trade UBS Etf guide.Note that the UBS ETF SMIM information on this page should be used as a complementary analysis to other UBS ETF's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
UBS ETF 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.