Immobiliere Distri Land Nv Etf Last Dividend Paid
| DISL Etf | EUR 210.00 0.00 0.00% |
Immobiliere Distri Land NV fundamentals help investors to digest information that contributes to Immobiliere Distri's financial success or failures. It also enables traders to predict the movement of Immobiliere Etf. The fundamental analysis module provides a way to measure Immobiliere Distri'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 Immobiliere Distri etf.
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Immobiliere Distri Land NV ETF Last Dividend Paid Analysis
Immobiliere Distri's Last Dividend Paid refers to dividend per share(DPS) paid to the shareholder the last time dividends were issued by a company. In its conventional sense, dividends refer to the distribution of some of a company's net earnings or capital gains decided by the board of directors.
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Last Dividend | = | Last Profit Distribution AmountTotal Shares |
Current Immobiliere Distri Last Dividend Paid | 16.21 |
Most of Immobiliere Distri's fundamental indicators, such as Last Dividend Paid, 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, Immobiliere Distri Land NV is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Many stable companies today pay out dividends to their shareholders in the form of the income distribution, but high-growth firms rarely offer dividends because all of their earnings are reinvested back to the business.
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Based on the recorded statements, Immobiliere Distri Land NV has a Last Dividend Paid of 16.21. This is much higher than that of the Real Estate family and significantly higher than that of the Real Estate Services category. The last dividend paid for all Belgium etfs is notably lower than that of the firm.
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Immobiliere Fundamentals
| Return On Equity | 2.4 | |||
| Return On Asset | 19.09 | |||
| Profit Margin | 0.69 % | |||
| Operating Margin | 84.73 % | |||
| Shares Outstanding | 1.25 K | |||
| Price To Sales | 0.22 X | |||
| Revenue | 1.31 M | |||
| Gross Profit | 1.1 M | |||
| EBITDA | 1.11 M | |||
| Net Income | 9.04 K | |||
| Cash And Equivalents | 1.57 M | |||
| Total Debt | 1.81 M | |||
| Debt To Equity | 4.75 % | |||
| Current Ratio | 1.25 X | |||
| Beta | 0.03 | |||
| Market Capitalization | 284.94 K | |||
| Five Year Return | 9.80 % | |||
| Last Dividend Paid | 16.21 |
About Immobiliere Distri Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Immobiliere Distri Land NV's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Immobiliere Distri using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Immobiliere Distri Land NV 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.
Pair Trading with Immobiliere Distri
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 Immobiliere Distri 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 Immobiliere Distri will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Immobiliere Distri could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Immobiliere Distri 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 Immobiliere Distri - 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 Immobiliere Distri Land NV to buy it.
The correlation of Immobiliere Distri 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 Immobiliere Distri moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Immobiliere Distri Land 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 Immobiliere Distri 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 Immobiliere Distri Land NV. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.