| ING Stock | | | 245.00 0.50 0.20% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in ING Bank lski. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in housing.
ING Bank lski Company Z Score Analysis
ING Bank's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
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| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
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| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
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| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
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| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
According to the company's disclosures, ING Bank lski has a Z Score of 0.0. This is 100.0% lower than that of the Financial Services sector and about the same as
Banks-Regional (which currently averages 0.0) industry. The z score for all Poland stocks is 100.0% higher than that of the company.
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ING Fundamentals
About ING Bank Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze ING Bank lski's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ING Bank using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of ING Bank lski 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.
Pair Trading with ING Bank
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 ING Bank 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 ING Bank will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to ING Bank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ING Bank 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 ING Bank - 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 ING Bank lski to buy it.
The correlation of ING Bank 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 ING Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ING Bank lski 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 ING Bank 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 ING Stock Analysis
When running ING Bank's price analysis, check to
measure ING Bank'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 ING Bank is operating at the current time. Most of ING Bank's value examination focuses on studying past and present price action to
predict the probability of ING Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ING Bank's price. Additionally, you may evaluate how the addition of ING Bank to your portfolios can decrease your overall portfolio volatility.