| 6240 Stock | | | TWD 20.35 0.75 3.55% |
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 Sung Gang Asset. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
Sung Gang Asset Company Z Score Analysis
Sung Gang'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..
Current Sung Gang Z Score | | | | 3.6 |
Most of Sung Gang'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, Sung Gang Asset 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 ) |
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| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
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| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
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| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
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| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
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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.
In accordance with the company's disclosures, Sung Gang Asset has a Z Score of 3.6. This is 11.46% higher than that of the Consumer Cyclical sector and 30.1% lower than that of the
Publishing industry. The z score for all Taiwan stocks is 58.72% higher than that of the company.
Sung Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Sung Gang's 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 Sung Gang could also be used in its relative valuation, which is a method of valuing Sung Gang by comparing valuation metrics of similar companies.
Sung Gang is currently under evaluation in z score category among its peers.
Sung Fundamentals
About Sung Gang Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Sung Gang Asset's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Sung Gang using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Sung Gang Asset 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 Sung Gang
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 Sung Gang 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 Sung Gang will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Sung Gang could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sung Gang 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 Sung Gang - 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 Sung Gang Asset to buy it.
The correlation of Sung Gang 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 Sung Gang moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sung Gang Asset 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 Sung Gang 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.
Additional Tools for Sung Stock Analysis
When running Sung Gang's price analysis, check to
measure Sung Gang'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 Sung Gang is operating at the current time. Most of Sung Gang's value examination focuses on studying past and present price action to
predict the probability of Sung Gang's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sung Gang's price. Additionally, you may evaluate how the addition of Sung Gang to your portfolios can decrease your overall portfolio volatility.