Marc Bosscher - Warehouses Chief Officer
WDP Stock | EUR 20.72 0.60 2.98% |
Insider
Marc Bosscher is Chief Officer of Warehouses de Pauw
Age | 60 |
Phone | 32 5 233 84 00 |
Web | https://www.wdp.eu |
Warehouses Management Efficiency
The company has return on total asset (ROA) of 0.03 % which means that it generated a profit of $0.03 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.0918 %, meaning that it generated $0.0918 on every $100 dollars invested by stockholders. Warehouses' management efficiency ratios could be used to measure how well Warehouses manages its routine affairs as well as how well it operates its assets and liabilities.Similar Executives
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Management Performance
Return On Equity | 0.0918 | |||
Return On Asset | 0.03 |
Warehouses de Pauw Leadership Team
Elected by the shareholders, the Warehouses' board of directors comprises two types of representatives: Warehouses inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Warehouses. The board's role is to monitor Warehouses' management team and ensure that shareholders' interests are well served. Warehouses' inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Warehouses' outside directors are responsible for providing unbiased perspectives on the board's policies.
Johanna Vermeeren, G Counsel | ||
Mickal Hauwe, CFO Mang | ||
Joke Cordeels, Investor Officer | ||
Tony Pauw, CoCEO MD | ||
Marc Bosscher, Chief Officer | ||
Joost Uwents, CoCEO MD | ||
Michiel Assink, Gen Netherlands |
Warehouses Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Warehouses 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 | 0.0918 | |||
Return On Asset | 0.03 | |||
Profit Margin | 0.89 % | |||
Operating Margin | 0.80 % | |||
Current Valuation | 7.32 B | |||
Shares Outstanding | 203.98 M | |||
Shares Owned By Insiders | 21.60 % | |||
Shares Owned By Institutions | 35.60 % | |||
Price To Earning | 10.34 X | |||
Price To Book | 1.19 X |
Pair Trading with Warehouses
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 Warehouses 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 Warehouses will appreciate offsetting losses from the drop in the long position's value.Moving together with Warehouses Stock
Moving against Warehouses Stock
The ability to find closely correlated positions to Warehouses could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Warehouses 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 Warehouses - 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 Warehouses de Pauw to buy it.
The correlation of Warehouses 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 Warehouses moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Warehouses de Pauw 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 Warehouses 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.Additional Tools for Warehouses Stock Analysis
When running Warehouses' price analysis, check to measure Warehouses' 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 Warehouses is operating at the current time. Most of Warehouses' value examination focuses on studying past and present price action to predict the probability of Warehouses' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Warehouses' price. Additionally, you may evaluate how the addition of Warehouses to your portfolios can decrease your overall portfolio volatility.