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 plc investors about its performance. UBS ETF is selling for under 20.93 as of the 4th of March 2025; that is 0.76% down since the beginning of the trading day. The etf's lowest day price was 20.93. With this module, you can estimate the performance of a buy and hold strategy of UBS ETF plc 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 nation.
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
02/02/2025
No Change 0.00
0.0
In 31 days
03/04/2025
0.00
If you would invest 0.00 in UBS ETF on February 2, 2025 and sell it all today you would earn a total of 0.00 from holding UBS ETF plc 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 plc 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as UBS ETF. Your research has to be compared to or analyzed against UBS ETF's peers to derive any actionable benefits. When done correctly, UBS ETF's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in UBS ETF plc.
UBS ETF plc Backtested Returns
UBS ETF plc owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0847, which indicates the etf had a -0.0847 % return per unit of standard deviation over the last 3 months. UBS ETF plc exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate UBS ETF's Standard Deviation of 0.6659, risk adjusted performance of (0.02), and Market Risk Adjusted Performance of (0.33) to confirm the risk estimate we provide. The entity has a beta of 0.0744, 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
0.28
Poor predictability
UBS ETF plc has poor predictability. Overlapping area represents the amount of predictability between UBS ETF time series from 2nd of February 2025 to 17th of February 2025 and 17th of February 2025 to 4th of March 2025. 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 plc price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current UBS ETF price fluctuation can be explain by its past prices.
Correlation Coefficient
0.28
Spearman Rank Test
0.11
Residual Average
0.0
Price Variance
0.07
UBS ETF plc 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 plc.
Regressed Prices
Timeline
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