Warehouses De Pauw Stock Beta
| WDP Stock | EUR 20.92 0.28 1.36% |
Warehouses de Pauw fundamentals help investors to digest information that contributes to Warehouses' financial success or failures. It also enables traders to predict the movement of Warehouses Stock. The fundamental analysis module provides a way to measure Warehouses' 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 Warehouses stock.
Warehouses |
Warehouses de Pauw Company Beta Analysis
Warehouses' Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Current Warehouses Beta | 0.37 |
Most of Warehouses' fundamental indicators, such as Beta, 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, Warehouses de Pauw is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
| Competition |
In accordance with the recently published financial statements, Warehouses de Pauw has a Beta of 0.3702. This is 48.58% lower than that of the Real Estate sector and 41.24% lower than that of the REIT - Industrial industry. The beta for all Belgium stocks is notably lower than that of the firm.
Warehouses Beta Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Warehouses' direct or indirect competition against its Beta to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Warehouses could also be used in its relative valuation, which is a method of valuing Warehouses by comparing valuation metrics of similar companies.Warehouses is currently under evaluation in beta category among its peers.
As returns on the market increase, Warehouses' returns are expected to increase less than the market. However, during the bear market, the loss of holding Warehouses is expected to be smaller as well.
Warehouses Fundamentals
| 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 | |||
| Price To Sales | 15.89 X | |||
| Revenue | 278.65 M | |||
| Gross Profit | 339.56 M | |||
| EBITDA | 1.13 B | |||
| Net Income | 982.27 M | |||
| Cash And Equivalents | 5.24 M | |||
| Cash Per Share | 0.23 X | |||
| Total Debt | 1.89 B | |||
| Debt To Equity | 105.60 % | |||
| Current Ratio | 0.24 X | |||
| Book Value Per Share | 20.95 X | |||
| Cash Flow From Operations | 223.35 M | |||
| Earnings Per Share | 4.61 X | |||
| Price To Earnings To Growth | 2.27 X | |||
| Target Price | 29.1 | |||
| Beta | 0.37 | |||
| Market Capitalization | 6.15 B | |||
| Total Asset | 6.11 B | |||
| Retained Earnings | 11 M | |||
| Working Capital | (238 M) | |||
| Current Asset | 19 M | |||
| Current Liabilities | 257 M | |||
| Z Score | 1.8 | |||
| Annual Yield | 0.03 % | |||
| Five Year Return | 4.53 % | |||
| Net Asset | 6.11 B | |||
| Last Dividend Paid | 1.0 |
About Warehouses Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Warehouses de Pauw's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Warehouses using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Warehouses de Pauw 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 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
| 0.97 | MONT | Montea CVA | PairCorr |
| 0.62 | WEB | Warehouses Estates | PairCorr |
| 0.69 | ABI | Anheuser Busch Inbev | PairCorr |
| 0.86 | BPOST | Bpost NV | PairCorr |
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.