Arwed Fischer - Deutsche Wohnen Member of the Supervisory Board
DTCWY Stock | USD 9.37 0.50 5.07% |
Executive
Mr. Arwed Fischer serves as Member of the Supervisory Board of the Company. After studying business administration at the University of Regensburg, Arwed Fischer graduated in 1981 with a degree in business administration . He then held various management positions in industrial and service companies. From 1994 to 2005, Arwed Fischer was a member of the Management Board of listed trading companies, including KarstadtQuelle AG. From 2008 to 2015 he was a member of the Management Board of PATRIZIA Immobilien AG in the function of Chief Financial Officer. since 2019.
Age | 66 |
Tenure | 5 years |
Phone | 49 30 897 86 0 |
Web | https://www.deutsche-wohnen.com |
Deutsche Wohnen Management Efficiency
Deutsche Wohnen's management efficiency ratios could be used to measure how well Deutsche Wohnen manages its routine affairs as well as how well it operates its assets and liabilities.Similar Executives
Found 3 records | EXECUTIVE Age | ||
Bradley Kyles | American Realty Investors | N/A | |
Rollie Gonzalez | Landsea Homes Corp | N/A | |
Kelly Rentzel | Landsea Homes Corp | N/A |
Management Performance
Return On Equity | 0.0997 | |||
Return On Asset | 0.01 |
Deutsche Wohnen SE Leadership Team
Elected by the shareholders, the Deutsche Wohnen's board of directors comprises two types of representatives: Deutsche Wohnen inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Deutsche. The board's role is to monitor Deutsche Wohnen's management team and ensure that shareholders' interests are well served. Deutsche Wohnen's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Deutsche Wohnen's outside directors are responsible for providing unbiased perspectives on the board's policies.
Uwe Flach, Chairman of the Supervisory Board | ||
Andrea Frese, Head Relations | ||
Michael Zahn, Chairman of the Management Board, CEO | ||
Arwed Fischer, Member of the Supervisory Board | ||
Olaf Weber, CFO Board | ||
Konstantina Kanellopoulos, CoCEO Board | ||
Lars Urbansky, COO, Member of the Executive Board | ||
Lars BA, CoCEO Board | ||
Andreas Kretschmer, Vice Chairman of the Supervisory Board | ||
Matthias Huenlein, Member of the Supervisory Board | ||
Florian Stetter, Member of the Supervisory Board | ||
Philip Grosse, CFO, Member of the Management Board | ||
Lars Wittan, Vice Chairman of the Management Board, COO | ||
Jens Koglin, Managing HR | ||
Juergen Fenk, Member of the Supervisory Board | ||
Claus Wisser, Member of the Supervisory Board | ||
Marcus Eilers, Managing Strategy |
Deutsche Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right pink sheet is not an easy task. Is Deutsche Wohnen a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
Return On Equity | 0.0997 | |||
Return On Asset | 0.01 | |||
Profit Margin | 0.41 % | |||
Operating Margin | 0.14 % | |||
Current Valuation | 16 B | |||
Shares Outstanding | 793.87 M | |||
Price To Earning | 4.31 X | |||
Price To Book | 0.46 X | |||
Price To Sales | 2.38 X | |||
Revenue | 2.27 B |
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 Deutsche Wohnen 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, Deutsche Wohnen's short interest history, or implied volatility extrapolated from Deutsche Wohnen options trading.
Pair Trading with Deutsche Wohnen
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 Wohnen 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 Wohnen will appreciate offsetting losses from the drop in the long position's value.Moving together with Deutsche Pink Sheet
0.74 | CRBJF | China Resources Land | PairCorr |
Moving against Deutsche Pink Sheet
0.92 | GE | GE Aerospace Earnings Call This Week | PairCorr |
0.64 | WF | Woori Financial Group Financial Report 21st of May 2024 | PairCorr |
0.61 | KB | KB Financial Group Earnings Call This Week | PairCorr |
0.56 | SHG | Shinhan Financial Earnings Call This Week | PairCorr |
0.52 | PBCRY | Bank Central Asia | PairCorr |
The ability to find closely correlated positions to Deutsche Wohnen 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 Wohnen 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 Wohnen - 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 Wohnen SE to buy it.
The correlation of Deutsche Wohnen 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 Wohnen moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deutsche Wohnen SE 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 Wohnen 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 Wohnen SE. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in housing. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary Tools for Deutsche Pink Sheet analysis
When running Deutsche Wohnen's price analysis, check to measure Deutsche Wohnen'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 Wohnen is operating at the current time. Most of Deutsche Wohnen's value examination focuses on studying past and present price action to predict the probability of Deutsche Wohnen'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 Wohnen's price. Additionally, you may evaluate how the addition of Deutsche Wohnen to your portfolios can decrease your overall portfolio volatility.
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Stocks Directory Find actively traded stocks across global markets | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Global Correlations Find global opportunities by holding instruments from different markets | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |