Cymbria Stock Z Score
CYMBF Stock | USD 47.90 0.00 0.00% |
Cymbria |
Cymbria Company Z Score Analysis
Cymbria'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..
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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.
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In accordance with the company's disclosures, Cymbria has a Z Score of 0.0. This is 100.0% lower than that of the Financial Services sector and 100.0% lower than that of the Asset Management industry. The z score for all United States stocks is 100.0% higher than that of the company.
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Cymbria Fundamentals
Shares Outstanding | 16.34 M | |||
Shares Owned By Insiders | 0.18 % | |||
Price To Book | 1.01 X | |||
Price To Sales | 14.95 X | |||
Revenue | 292.93 M | |||
Net Income | 253.57 M | |||
Cash Flow From Operations | 53.09 M | |||
Earnings Per Share | 2.70 X | |||
Market Capitalization | 1.04 B | |||
Total Asset | 1.52 B | |||
Net Asset | 1.52 B |
About Cymbria Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Cymbria's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Cymbria using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Cymbria 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 Cymbria
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 Cymbria 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 Cymbria will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Cymbria could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cymbria 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 Cymbria - 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 Cymbria to buy it.
The correlation of Cymbria 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 Cymbria moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cymbria 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 Cymbria 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Cymbria. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics. Note that the Cymbria information on this page should be used as a complementary analysis to other Cymbria'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 CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Cymbria Pink Sheet analysis
When running Cymbria's price analysis, check to measure Cymbria'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 Cymbria is operating at the current time. Most of Cymbria's value examination focuses on studying past and present price action to predict the probability of Cymbria's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cymbria's price. Additionally, you may evaluate how the addition of Cymbria to your portfolios can decrease your overall portfolio volatility.
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