CatalystTeza Z Score

TEZCX
 Fund
  

USD 7.52  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. Additionally, take a look at World Market Map.
  

CatalystTeza Z Score Analysis

CatalystTeza Algorithmic'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 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.
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CatalystTeza Algorithmic Z Score Component Assessment

Based on the company's disclosures, CatalystTeza Algorithmic Alloc has a Z Score of 0.0. This indicator is about the same for the Catalyst Mutual Funds average (which is currently at 0.0) family and about the same as Macro Trading (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).

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CatalystTeza Fundamentals

About CatalystTeza Algorithmic Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze CatalystTeza Algorithmic Alloc's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of CatalystTeza Algorithmic using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of CatalystTeza Algorithmic Alloc based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, 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.
The fund provides exposure to major global asset classes including equity indexes, government bond interest rates, volatility indexes, foreign currencies andor commodities, such as energy, precious metals, base metals, agriculturals and grains. CatalystTeza Algorithmic is traded on NASDAQ Exchange in the United States.
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 CatalystTeza Algorithmic 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, CatalystTeza Algorithmic's short interest history, or implied volatility extrapolated from CatalystTeza Algorithmic options trading.

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Additionally, take a look at World Market Map. Note that the CatalystTeza Algorithmic information on this page should be used as a complementary analysis to other CatalystTeza Algorithmic'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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..

Other Tools for CatalystTeza Mutual Fund

When running CatalystTeza Algorithmic price analysis, check to measure CatalystTeza Algorithmic'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 CatalystTeza Algorithmic is operating at the current time. Most of CatalystTeza Algorithmic's value examination focuses on studying past and present price action to predict the probability of CatalystTeza Algorithmic's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move CatalystTeza Algorithmic's price. Additionally, you may evaluate how the addition of CatalystTeza Algorithmic to your portfolios can decrease your overall portfolio volatility.
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