Deutsche Brse Ag Stock Filter Stocks by Fundamentals
| DBOEF Stock | USD 198.05 1.45 0.73% |
Deutsche Brse AG fundamentals help investors to digest information that contributes to Deutsche Börse's financial success or failures. It also enables traders to predict the movement of Deutsche Pink Sheet. The fundamental analysis module provides a way to measure Deutsche Börse'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 Deutsche Börse pink sheet.
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Deutsche Fundamentals
| Return On Equity | 0.19 | |||
| Return On Asset | 0.0049 | |||
| Profit Margin | 0.29 % | |||
| Operating Margin | 0.41 % | |||
| Current Valuation | (77.61 B) | |||
| Shares Outstanding | 183.62 M | |||
| Shares Owned By Institutions | 64.70 % | |||
| Price To Earning | 27.33 X | |||
| Price To Book | 3.68 X | |||
| Price To Sales | 6.46 X | |||
| Revenue | 4.36 B | |||
| Gross Profit | 4.23 B | |||
| EBITDA | 2.07 B | |||
| Net Income | 1.21 B | |||
| Cash And Equivalents | 894.1 M | |||
| Cash Per Share | 4.87 X | |||
| Total Debt | 3.04 B | |||
| Debt To Equity | 0.58 % | |||
| Current Ratio | 1.01 X | |||
| Book Value Per Share | 45.47 X | |||
| Cash Flow From Operations | 908.9 M | |||
| Earnings Per Share | 8.27 X | |||
| Price To Earnings To Growth | 2.77 X | |||
| Number Of Employees | 40 | |||
| Beta | 0.46 | |||
| Market Capitalization | 34.39 B | |||
| Total Asset | 222.92 B | |||
| Z Score | 6.6 | |||
| Annual Yield | 0.02 % | |||
| Five Year Return | 2.08 % | |||
| Net Asset | 222.92 B | |||
| Last Dividend Paid | 3.6 |
About Deutsche Börse Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Deutsche Brse AG's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Deutsche Börse using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Deutsche Brse AG based on its fundamental data. In general, a quantitative approach, as applied to this company, 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.
Pair Trading with Deutsche Börse
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 Deutsche Börse 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 Deutsche Börse will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Deutsche Börse could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deutsche Börse 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 Deutsche Börse - 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 Deutsche Brse AG to buy it.
The correlation of Deutsche Börse 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 Deutsche Börse moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deutsche Brse AG 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 Deutsche Börse 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 Deutsche Brse AG. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in income. Note that the Deutsche Brse AG information on this page should be used as a complementary analysis to other Deutsche Börse'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 Commodity Directory module to find actively traded commodities issued by global exchanges.
Complementary Tools for Deutsche Pink Sheet analysis
When running Deutsche Börse's price analysis, check to measure Deutsche Börse'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 Deutsche Börse is operating at the current time. Most of Deutsche Börse's value examination focuses on studying past and present price action to predict the probability of Deutsche Börse's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Börse's price. Additionally, you may evaluate how the addition of Deutsche Börse to your portfolios can decrease your overall portfolio volatility.
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