Capgemini Se Stock Z Score

CAPMF Stock  USD 211.04  4.16  1.93%   
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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Capgemini SE. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population.
  

Capgemini SE Company Z Score Analysis

Capgemini'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

Current Capgemini Z Score

    
  3.0  
Most of Capgemini's fundamental indicators, such as Z Score, 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, Capgemini SE is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

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.
Competition

In accordance with the company's disclosures, Capgemini SE has a Z Score of 3.0. This is 77.7% lower than that of the Technology sector and 61.44% lower than that of the Information Technology Services industry. The z score for all United States stocks is 65.6% higher than that of the company.

Did you try this?

Run Fundamental Analysis Now

   

Fundamental Analysis

View fundamental data based on most recent published financial statements
All  Next Launch Module

Capgemini Fundamentals

About Capgemini Fundamental Analysis

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

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

Moving together with Capgemini Pink Sheet

  0.74IBM International Business Earnings Call This WeekPairCorr

Moving against Capgemini Pink Sheet

  0.59EC Ecopetrol SA ADR Financial Report 8th of May 2024 PairCorr
The ability to find closely correlated positions to Capgemini could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Capgemini 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 Capgemini - 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 Capgemini SE to buy it.
The correlation of Capgemini 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 Capgemini moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Capgemini SE 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 Capgemini 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Capgemini SE. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population.
You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.

Complementary Tools for Capgemini Pink Sheet analysis

When running Capgemini's price analysis, check to measure Capgemini'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 Capgemini is operating at the current time. Most of Capgemini's value examination focuses on studying past and present price action to predict the probability of Capgemini's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Capgemini's price. Additionally, you may evaluate how the addition of Capgemini to your portfolios can decrease your overall portfolio volatility.
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Please note, there is a significant difference between Capgemini's value and its price as these two are different measures arrived at by different means. Investors typically determine if Capgemini is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Capgemini'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.