White Energy Stock Z Score

WECFF Stock  USD 0.04  0.02  41.17%   
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 Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in White Energy. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in census.
  

White Energy Company Z Score Analysis

White Energy'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 White Energy Z Score

    
  -51.6  
Most of White Energy'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, White Energy 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

As per the company's disclosures, White Energy has a Z Score of -51.6. This is 2413.9% lower than that of the Energy sector and significantly lower than that of the Thermal Coal industry. The z score for all United States stocks is notably higher than that of the company.

White Z Score Peer Comparison

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

White Fundamentals

About White Energy Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze White Energy's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of White Energy using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of White Energy 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.
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 White Energy 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, White Energy's short interest history, or implied volatility extrapolated from White Energy options trading.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in White Energy. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in census.
Note that the White Energy information on this page should be used as a complementary analysis to other White Energy'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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Complementary Tools for White Pink Sheet analysis

When running White Energy's price analysis, check to measure White Energy'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 White Energy is operating at the current time. Most of White Energy's value examination focuses on studying past and present price action to predict the probability of White Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move White Energy's price. Additionally, you may evaluate how the addition of White Energy to your portfolios can decrease your overall portfolio volatility.
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Please note, there is a significant difference between White Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if White Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, White Energy'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.