Dws Etf Five Year Return
DWS fundamentals help investors to digest information that contributes to DWS's financial success or failures. It also enables traders to predict the movement of DWS Etf. The fundamental analysis module provides a way to measure DWS'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 DWS etf.
DWS |
DWS ETF Five Year Return Analysis
DWS's Five Year Return is considered one of the best measures to evaluate fund performance, especially from the mid and long term perspective. It shows the total annualized return generated from holding equity for the last five years and represents capital appreciation of the investment, including all dividends, losses, and capital gains distributions.
More About Five Year Return | All Equity Analysis
Five Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Current DWS Five Year Return | 9.64 % |
Most of DWS's fundamental indicators, such as Five Year 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, DWS is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Although Five Year Returns can give a sense of overall investment potential, it is recommended to compare equity performance with similar assets for the same five year time interval. Similarly, comparing overall investment performance over the last five years with the appropriate market index is a great way to determine how this equity instrument will perform during unforeseen market fluctuations.
CompetitionAccording to the company disclosure, DWS has a Five Year Return of 9.64%. This is much higher than that of the Deutsche Bank AG family and significantly higher than that of the Trading--Inverse Commodities category. The five year return for all United States etfs is notably lower than that of the firm.
DWS Five Year Return Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses DWS's direct or indirect competition against its Five Year Return to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of DWS could also be used in its relative valuation, which is a method of valuing DWS by comparing valuation metrics of similar companies.DWS is currently under evaluation in five year return as compared to similar ETFs.
DWS Fundamentals
| Number Of Employees | 107 | |||
| Total Asset | 332.63 K | |||
| One Year Return | 2.24 % | |||
| Three Year Return | (3.37) % | |||
| Five Year Return | 9.64 % | |||
| Ten Year Return | 0.93 % | |||
| Net Asset | 332.63 K |
Pair Trading with DWS
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 DWS 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 DWS 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 Investing Opportunities 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 unemployment. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Tools for DWS Etf
When running DWS's price analysis, check to measure DWS'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 DWS is operating at the current time. Most of DWS's value examination focuses on studying past and present price action to predict the probability of DWS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DWS's price. Additionally, you may evaluate how the addition of DWS to your portfolios can decrease your overall portfolio volatility.
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