Banque Nationale De Stock Cash Per Share
| BNB Stock | EUR 456.00 1.00 0.22% |
Banque nationale de fundamentals help investors to digest information that contributes to Banque Nationale's financial success or failures. It also enables traders to predict the movement of Banque Stock. The fundamental analysis module provides a way to measure Banque Nationale'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 Banque Nationale stock.
Banque |
Banque nationale de Company Cash Per Share Analysis
Banque Nationale's Cash per Share is a ratio of current cash on hands or in the banks of the company to a total number of shares outstanding. It is used to determine a firm's liquidity and is a good indicator of the overall financial health of a company. Value investors often compare this ratio to the current stock quote, and if it exceeds the stock price they would invest in it.
Companies with high Cash per Share ratio will be considered as an attractive investment by most investors. In most industries if you can single out an equity instrument trading below its cash per share value, you have a bargain and should consider buying it. Finding the stocks traded below their cash value, therefore, can be a good starting point for investors using strategies based on fundamentals.
| Competition |
In accordance with the recently published financial statements, Banque nationale de has a Cash Per Share of 0.0 times. This is 100.0% lower than that of the Financial Services sector and 100.0% lower than that of the Banks - Regional - Europe industry. The cash per share for all Belgium stocks is 100.0% higher than that of the company.
Banque Cash Per Share Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Banque Nationale's direct or indirect competition against its Cash Per Share to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Banque Nationale could also be used in its relative valuation, which is a method of valuing Banque Nationale by comparing valuation metrics of similar companies.Banque Nationale is currently under evaluation in cash per share category among related companies.
Banque Fundamentals
| Return On Equity | 0.0469 | |||
| Return On Asset | 0.0011 | |||
| Profit Margin | 0.41 % | |||
| Operating Margin | 0.51 % | |||
| Current Valuation | 682 M | |||
| Shares Outstanding | 400 K | |||
| Shares Owned By Insiders | 5.00 % | |||
| Shares Owned By Institutions | 1.18 % | |||
| Price To Earning | 1.23 X | |||
| Price To Book | 0.04 X | |||
| Price To Sales | 0.32 X | |||
| Revenue | 862.74 M | |||
| Gross Profit | 849.64 M | |||
| Net Income | 745.56 M | |||
| Book Value Per Share | 18,954 X | |||
| Earnings Per Share | 888.48 X | |||
| Number Of Employees | 1.67 K | |||
| Beta | 0.57 | |||
| Market Capitalization | 266.4 M | |||
| Total Asset | 88.97 B | |||
| Retained Earnings | 5.42 B | |||
| Current Asset | 27.09 B | |||
| Current Liabilities | 26.92 B | |||
| Annual Yield | 0.20 % | |||
| Five Year Return | 4.85 % | |||
| Last Dividend Paid | 138.04 |
About Banque Nationale Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Banque nationale de's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Banque Nationale using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Banque nationale de 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.
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 Banque Nationale 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, Banque Nationale's short interest history, or implied volatility extrapolated from Banque Nationale options trading.
Pair Trading with Banque Nationale
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 Banque Nationale 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 Banque Nationale will appreciate offsetting losses from the drop in the long position's value.Moving against Banque Stock
| 0.5 | LOTB | Lotus Bakeries | PairCorr |
The ability to find closely correlated positions to Banque Nationale could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Banque Nationale 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 Banque Nationale - 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 Banque nationale de to buy it.
The correlation of Banque Nationale 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 Banque Nationale moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banque nationale 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 Banque Nationale 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Banque nationale de. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. Note that the Banque nationale information on this page should be used as a complementary analysis to other Banque Nationale'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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Complementary Tools for Banque Stock analysis
When running Banque Nationale's price analysis, check to measure Banque Nationale'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 Banque Nationale is operating at the current time. Most of Banque Nationale's value examination focuses on studying past and present price action to predict the probability of Banque Nationale's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Banque Nationale's price. Additionally, you may evaluate how the addition of Banque Nationale to your portfolios can decrease your overall portfolio volatility.
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