UBS IF's market value is the price at which a share of UBS IF trades on a public exchange. It measures the collective expectations of UBS IF Eqs investors about its performance. UBS IF is trading at 240.05 as of the 9th of January 2025, a No Change since the beginning of the trading day. The fund's open price was 240.05. With this module, you can estimate the performance of a buy and hold strategy of UBS IF Eqs and determine expected loss or profit from investing in UBS IF over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any fund could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
UBS
UBS IF '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 IF's fund 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 IF.
0.00
12/10/2024
No Change 0.00
0.0
In 31 days
01/09/2025
0.00
If you would invest 0.00 in UBS IF on December 10, 2024 and sell it all today you would earn a total of 0.00 from holding UBS IF Eqs or generate 0.0% return on investment in UBS IF over 30 days.
UBS IF 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 IF's fund 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 IF Eqs 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 IF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UBS IF's standard deviation. In reality, there are many statistical measures that can use UBS IF historical prices to predict the future UBS IF's volatility.
At this point, UBS IF is very steady. UBS IF Eqs owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the fund had a 0.16% return per unit of standard deviation over the last 3 months. We have found twenty-four technical indicators for UBS IF Eqs, which you can use to evaluate the volatility of the entity. Please validate UBS IF's Market Risk Adjusted Performance of (0.96), downside deviation of 1.07, and Risk Adjusted Performance of 0.1315 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. The entity has a beta of -0.15, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning UBS IF are expected to decrease at a much lower rate. During the bear market, UBS IF is likely to outperform the market.
Auto-correlation
0.50
Modest predictability
UBS IF Eqs has modest predictability. Overlapping area represents the amount of predictability between UBS IF time series from 10th of December 2024 to 25th of December 2024 and 25th of December 2024 to 9th of January 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 IF Eqs price movement. The serial correlation of 0.5 indicates that about 50.0% of current UBS IF price fluctuation can be explain by its past prices.
Correlation Coefficient
0.5
Spearman Rank Test
0.9
Residual Average
0.0
Price Variance
1.37
UBS IF Eqs lagged returns against current returns
Autocorrelation, which is UBS IF fund'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 IF's fund expected returns. We can calculate the autocorrelation of UBS IF returns to help us make a trade decision. For example, suppose you find that UBS IF has exhibited high autocorrelation historically, and you observe that the fund 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 IF 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 IF fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UBS IF fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UBS IF fund over time.
Current vs Lagged Prices
Timeline
UBS IF Lagged Returns
When evaluating UBS IF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UBS IF fund have on its future price. UBS IF 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 IF autocorrelation shows the relationship between UBS IF fund current value and its past values and can show if there is a momentum factor associated with investing in UBS IF Eqs.
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.