Ansys Z Score

ANSS
 Stock
  

USD 232.23  1.61  0.69%   

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. Please continue to Ansys Piotroski F Score and Ansys Valuation analysis.
  

Ansys Z Score Analysis

Ansys' 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 Ansys Z Score

    
  14.0  
Most of Ansys' 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, Ansys Inc 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 Z-Score one would need to know current working capital of the company, its total assets, and liabilities, amount of latest retained earnings as well as earnings before interest and tax. Z-Score 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 high probability of distress. Z Score is used widely by financial auditors, accountants, money managers, loan processers, wealth advisers, as well as day traders. In the last 25 years, many financial models that utilize z score has been proved to be successful as a predictor of corporate bankruptcy.
Compare to competition

In accordance with the company's disclosures, Ansys Inc has a Z Score of 14.0. This is 4.09% higher than that of the Technology sector and significantly higher than that of the Software—Application industry. The z score for all United States stocks is 60.55% lower than that of the firm.

Ansys Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Ansys' 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 Ansys could also be used in its relative valuation, which is a method of valuing Ansys by comparing valuation metrics of similar companies.
Ansys is currently under evaluation in z score category among related companies.

Ansys Institutional Holders

Institutional Holdings refers to the ownership stake in Ansys that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Ansys' outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Ansys' value.
Security TypeSharesValue
Vanguard Group IncCommon Shares9.6 M2.3 B
Blackrock IncCommon Shares8.7 M2.1 B
Aristotle Capital Management LlcCommon Shares4.5 M1.1 B
State Street CorpCommon Shares3.4 M806.3 M
Fmr LlcCommon Shares2.9 M683.8 M
Massachusetts Financial Services CoCommon Shares2.3 M557 M
Bamco IncCommon Shares1.9 M453.2 M

Ansys Fundamentals

About Ansys Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Ansys Inc's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Ansys using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Ansys Inc 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.
ANSYS, Inc. develops and markets engineering simulation software and services worldwide. The company was founded in 1970 and is headquartered in Canonsburg, Pennsylvania. Ansys operates under SoftwareApplication classification in the United States and is traded on NASDAQ Exchange. It employs 5200 people.
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 Ansys 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, Ansys' short interest history, or implied volatility extrapolated from Ansys options trading.

Pair Trading with Ansys

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

Moving together with Ansys

+0.73LUMNCenturylink Downward RallyPairCorr
+0.71FFord Motor Potential GrowthPairCorr
The ability to find closely correlated positions to Ansys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ansys 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 Ansys - 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 Ansys Inc to buy it.
The correlation of Ansys is a statistical measure of how it moves in relation to other equities. 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 Ansys moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ansys Inc 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 Ansys 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
Please continue to Ansys Piotroski F Score and Ansys Valuation analysis. You can also try Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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Is Ansys' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Ansys. If investors know Ansys will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Ansys listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Ansys Inc is measured differently than its book value, which is the value of Ansys that is recorded on the company's balance sheet. Investors also form their own opinion of Ansys' value that differs from its market value or its book value, called intrinsic value, which is Ansys' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Ansys' market value can be influenced by many factors that don't directly affect Ansys' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Ansys' value and its price as these two are different measures arrived at by different means. Investors typically determine Ansys value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ansys' 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.