UBS Fund's market value is the price at which a share of UBS Fund trades on a public exchange. It measures the collective expectations of UBS Fund Solutions investors about its performance. UBS Fund is trading at 8.53 as of the 2nd of December 2024, a 1.31 percent up since the beginning of the trading day. The etf's lowest day price was 8.45. With this module, you can estimate the performance of a buy and hold strategy of UBS Fund Solutions and determine expected loss or profit from investing in UBS Fund 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 Fund '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 Fund'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 Fund.
0.00
11/02/2024
No Change 0.00
0.0
In 31 days
12/02/2024
0.00
If you would invest 0.00 in UBS Fund on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding UBS Fund Solutions or generate 0.0% return on investment in UBS Fund over 30 days.
UBS Fund 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 Fund'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 Fund Solutions 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 Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UBS Fund's standard deviation. In reality, there are many statistical measures that can use UBS Fund historical prices to predict the future UBS Fund's volatility.
UBS Fund appears to be somewhat reliable, given 3 months investment horizon. UBS Fund Solutions owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the etf had a 0.14% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for UBS Fund Solutions, which you can use to evaluate the volatility of the entity. Please review UBS Fund's Market Risk Adjusted Performance of 3.91, risk adjusted performance of 0.1113, and Downside Deviation of 2.4 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.0837, which indicates not very significant fluctuations relative to the market. As returns on the market increase, UBS Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding UBS Fund is expected to be smaller as well.
Auto-correlation
0.48
Average predictability
UBS Fund Solutions has average predictability. Overlapping area represents the amount of predictability between UBS Fund time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd 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 Fund Solutions price movement. The serial correlation of 0.48 indicates that about 48.0% of current UBS Fund price fluctuation can be explain by its past prices.
Correlation Coefficient
0.48
Spearman Rank Test
0.16
Residual Average
0.0
Price Variance
0.01
UBS Fund Solutions lagged returns against current returns
Autocorrelation, which is UBS Fund 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 Fund's etf expected returns. We can calculate the autocorrelation of UBS Fund returns to help us make a trade decision. For example, suppose you find that UBS Fund 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 Fund 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 Fund etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UBS Fund etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UBS Fund etf over time.
Current vs Lagged Prices
Timeline
UBS Fund Lagged Returns
When evaluating UBS Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UBS Fund etf have on its future price. UBS Fund 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 Fund autocorrelation shows the relationship between UBS Fund etf current value and its past values and can show if there is a momentum factor associated with investing in UBS Fund Solutions.
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.