Ming Le Sports Stock Z Score

ML2 Stock  EUR 1.04  0.00  0.00%   
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 Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Ming Le Sports. 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.
  

Ming Le Sports Company Z Score Analysis

Ming Le'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..

Z Score

 = 

Sum Of

5 Factors

More About Z Score | All Equity Analysis

First Factor

 = 

1.2 * (

Working Capital

/

Total Assets )

Second Factor

 = 

1.4 * (

Retained Earnings

/

Total Assets )

Thrid Factor

 = 

3.3 * (

EBITAD

/

Total Assets )

Fouth Factor

 = 

0.6 * (

Market Value of Equity

/

Total Liabilities )

Fifth Factor

 = 

0.99 * (

Revenue

/

Total Assets )

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.
Based on the company's disclosures, Ming Le Sports has a Z Score of 0.0. This indicator is about the same for the average (which is currently at 0.0) sector and about the same as Z Score (which currently averages 0.0) industry. This indicator is about the same for all Germany stocks average (which is currently at 0.0).

Ming Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Ming Le's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Ming Le could also be used in its relative valuation, which is a method of valuing Ming Le by comparing valuation metrics of similar companies.
Ming Le is currently under evaluation in z score category among related companies.

About Ming Le Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Ming Le Sports's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Ming Le using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Ming Le Sports 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 Ming Le

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 Ming Le 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 Ming Le will appreciate offsetting losses from the drop in the long position's value.

Moving against Ming Stock

  0.75SSU Samsung Electronics Earnings Call This WeekPairCorr
  0.73SSU Samsung Electronics Earnings Call This WeekPairCorr
  0.73ECHA Ecopetrol SAPairCorr
  0.67DBPE Xtrackers LevDAXPairCorr
  0.6SSUN Samsung Electronics Earnings Call This WeekPairCorr
The ability to find closely correlated positions to Ming Le could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ming Le 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 Ming Le - 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 Ming Le Sports to buy it.
The correlation of Ming Le 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 Ming Le moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ming Le Sports 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 Ming Le 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.
Pair CorrelationCorrelation Matching
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Ming Le Sports. 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 Ming Le Sports information on this page should be used as a complementary analysis to other Ming Le'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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Complementary Tools for Ming Stock analysis

When running Ming Le's price analysis, check to measure Ming Le'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 Ming Le is operating at the current time. Most of Ming Le's value examination focuses on studying past and present price action to predict the probability of Ming Le's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ming Le's price. Additionally, you may evaluate how the addition of Ming Le to your portfolios can decrease your overall portfolio volatility.
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Stocks Directory
Find actively traded stocks across global markets
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Fundamental Analysis
View fundamental data based on most recent published financial statements
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Please note, there is a significant difference between Ming Le's value and its price as these two are different measures arrived at by different means. Investors typically determine if Ming Le is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ming Le's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.