Xtrackers Shortdax Etf Price To Earnings To Growth
| DBPD Etf | EUR 0.92 0.03 3.16% |
Xtrackers ShortDAX fundamentals help investors to digest information that contributes to Xtrackers' financial success or failures. It also enables traders to predict the movement of Xtrackers Etf. The fundamental analysis module provides a way to measure Xtrackers' 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 Xtrackers etf.
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Xtrackers ShortDAX ETF Price To Earnings To Growth Analysis
Xtrackers' PEG Ratio indicates the potential value of an equity instrument and is calculated by dividing Price to Earnings (P/E) ratio into earnings growth rate. Most analysts and investors prefer this measure to a Price to Earnings (P/E) ratio because it incorporates the future growth of a firm. The low PEG ratio usually implies that an equity instrument is undervalued; whereas PEG of 1 may indicate that an equity is reasonably priced under given expectations of future growth.
Generally speaking, PEG ratio is a 'quick and dirty' way to measure how the current price of a firm's stock relates to its earnings and growth rate. The main benefit of using PEG ratio is that investors can compare the relative valuations of companies within different industries without analyzing their P/E ratios.
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Based on the latest financial disclosure, Xtrackers ShortDAX has a Price To Earnings To Growth of 0.0 times. This indicator is about the same for the DWS Investment S.A. (ETF) average (which is currently at 0.0) family and about the same as Price To Earnings To Growth (which currently averages 0.0) category. This indicator is about the same for all Germany etfs average (which is currently at 0.0).
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Xtrackers Fundamentals
| Total Asset | 123.8 M | |||
| One Year Return | 2.34 % | |||
| Three Year Return | (16.95) % | |||
| Five Year Return | (20.46) % | |||
| Net Asset | 123.8 M |
About Xtrackers Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Xtrackers ShortDAX's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Xtrackers using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Xtrackers ShortDAX based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Xtrackers in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Xtrackers' short interest history, or implied volatility extrapolated from Xtrackers options trading.
Pair Trading with Xtrackers
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 Xtrackers 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 Xtrackers will appreciate offsetting losses from the drop in the long position's value.Moving together with Xtrackers Etf
| 0.68 | XJSE | Xtrackers II | PairCorr |
Moving against Xtrackers Etf
| 0.98 | DBPE | Xtrackers LevDAX | PairCorr |
| 0.93 | VWCE | Vanguard FTSE All | PairCorr |
| 0.91 | SXR8 | iShares Core SP | PairCorr |
| 0.91 | VGWL | Vanguard FTSE All | PairCorr |
| 0.89 | VUSA | Vanguard Funds Public | PairCorr |
The ability to find closely correlated positions to Xtrackers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Xtrackers 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 Xtrackers - 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 Xtrackers ShortDAX to buy it.
The correlation of Xtrackers 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 Xtrackers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xtrackers ShortDAX 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 Xtrackers 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, which includes a position in Xtrackers ShortDAX. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.