Ubs Etf Fundamentals
UBS fundamentals help investors to digest information that contributes to UBS's financial success or failures. It also enables traders to predict the movement of UBS Etf. The fundamental analysis module provides a way to measure UBS's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to UBS etf.
UBS |
UBS ETF Year To Date Return Analysis
UBS's Year to Date Return (YTD) is the total return generated from holding a security from the beginning of the current fiscal year. In other words, YTD Return represents the capital appreciation of your investments from the start of the current fiscal year.
More About Year To Date Return | All Equity Analysis
YTD Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Current UBS Year To Date Return | 15.64 % |
Most of UBS's fundamental indicators, such as Year To Date Return, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, UBS is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Year-To-Date typically refers to a period starting from the beginning of the current year and continuing up to the present day. Investors should becareful when comparing YTD ratios if not much of the year has occurred as research shows that YTD measures are more sensitive to early periods than late.
CompetitionAs per the company's disclosures, UBS has a Year To Date Return of 15.64%. This is much higher than that of the UBS Group AG family and significantly higher than that of the Volatility category. The year to date return for all United States etfs is notably lower than that of the firm.
UBS Year To Date Return Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses UBS's direct or indirect competition against its Year To Date Return to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of UBS could also be used in its relative valuation, which is a method of valuing UBS by comparing valuation metrics of similar companies.UBS is currently under evaluation in year to date return as compared to similar ETFs.
UBS Fundamentals
| Year To Date Return | 15.64 % | |||
| One Year Return | 7.80 % | |||
| Three Year Return | (9.48) % | |||
| Net Asset | 13.78 M |
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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.Check out Your Current Watchlist 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 gross domestic product. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Other Tools for UBS Etf
When running UBS's price analysis, check to measure UBS's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy UBS is operating at the current time. Most of UBS's value examination focuses on studying past and present price action to predict the probability of UBS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UBS's price. Additionally, you may evaluate how the addition of UBS to your portfolios can decrease your overall portfolio volatility.
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