UBS ETF's market value is the price at which a share of UBS ETF trades on a public exchange. It measures the collective expectations of UBS ETF SICAV investors about its performance. UBS ETF is trading at 85.44 as of the 11th of December 2024, a 0.27 percent increase since the beginning of the trading day. The etf's lowest day price was 85.08. With this module, you can estimate the performance of a buy and hold strategy of UBS ETF SICAV and determine expected loss or profit from investing in UBS ETF over a given investment horizon. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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.
0.00
11/11/2024
No Change 0.00
0.0
In 31 days
12/11/2024
0.00
If you would invest 0.00 in UBS ETF on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding UBS ETF SICAV or generate 0.0% return on investment in UBS ETF over 30 days.
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 SICAV upside and downside potential and time the market with a certain degree of confidence.
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.
At this point, UBS ETF is very steady. UBS ETF SICAV owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0358, which indicates the etf had a 0.0358% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for UBS ETF SICAV, which you can use to evaluate the volatility of the entity. Please validate UBS ETF's Downside Deviation of 0.765, market risk adjusted performance of 2.0, and Risk Adjusted Performance of 0.034 to confirm if the risk estimate we provide is consistent with the expected return of 0.0246%. The entity has a beta of 0.0115, 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
-0.06
Very weak reverse predictability
UBS ETF SICAV has very weak reverse predictability. Overlapping area represents the amount of predictability between UBS ETF time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 SICAV price movement. The serial correlation of -0.06 indicates that barely 6.0% of current UBS ETF price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.06
Spearman Rank Test
0.36
Residual Average
0.0
Price Variance
0.86
UBS ETF SICAV 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 SICAV.
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.