Ubs Etf Last Dividend Paid
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 Last Dividend Paid Analysis
UBS's Last Dividend Paid refers to dividend per share(DPS) paid to the shareholder the last time dividends were issued by a company. In its conventional sense, dividends refer to the distribution of some of a company's net earnings or capital gains decided by the board of directors.
More About Last Dividend Paid | All Equity Analysis
Last Dividend | = | Last Profit Distribution AmountTotal Shares |
Current UBS Last Dividend Paid | 0.18 |
Most of UBS's fundamental indicators, such as Last Dividend Paid, 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.
Many stable companies today pay out dividends to their shareholders in the form of the income distribution, but high-growth firms rarely offer dividends because all of their earnings are reinvested back to the business.
CompetitionBased on the recorded statements, UBS has a Last Dividend Paid of 0.178. This is much higher than that of the UBS Group AG family and significantly higher than that of the Trading--Miscellaneous category. The last dividend paid for all United States etfs is notably lower than that of the firm.
UBS Last Dividend Paid 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 Last Dividend Paid 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 last dividend paid as compared to similar ETFs.
UBS Fundamentals
| Number Of Employees | 274 | |||
| Total Asset | 121.55 M | |||
| One Year Return | (70.63) % | |||
| Three Year Return | (31.31) % | |||
| Five Year Return | (16.61) % | |||
| Net Asset | 121.55 M | |||
| Last Dividend Paid | 0.18 |
Pair Trading with UBS
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if UBS position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in UBS will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Microsoft - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Microsoft to buy it.
The correlation of Microsoft is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Microsoft can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in census. Note that the UBS information on this page should be used as a complementary analysis to other UBS's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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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