Karsten Sa Preferred Stock Filter Stocks by Fundamentals
| CTKA4 Preferred Stock | BRL 19.44 0.01 0.05% |
Karsten SA fundamentals help investors to digest information that contributes to Karsten SA's financial success or failures. It also enables traders to predict the movement of Karsten Preferred Stock. The fundamental analysis module provides a way to measure Karsten SA's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Karsten SA preferred stock.
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Karsten Fundamentals
| Return On Asset | 0.0269 | ||||
| Profit Margin | (0.03) % | ||||
| Operating Margin | 0.04 % | ||||
| Current Valuation | 656.89 M | ||||
| Shares Outstanding | 3.33 M | ||||
| Shares Owned By Insiders | 76.73 % | ||||
| Price To Earning | (0.54) X | ||||
| Price To Sales | 0.15 X | ||||
| Revenue | 549.68 M | ||||
| Gross Profit | 224.1 M | ||||
| EBITDA | 80.36 M | ||||
| Net Income | 57.48 M | ||||
| Cash And Equivalents | 3.09 M | ||||
| Cash Per Share | 3.25 X | ||||
| Total Debt | 480 M | ||||
| Current Ratio | 0.35 X | ||||
| Book Value Per Share | (26.20) X | ||||
| Cash Flow From Operations | (6.24 M) | ||||
| Earnings Per Share | 0.57 X | ||||
| Number Of Employees | 2.81 K | ||||
| Beta | 1.13 | ||||
| Market Capitalization | 92.8 M | ||||
| Total Asset | 630.58 M | ||||
| Retained Earnings | (314 M) | ||||
| Working Capital | (268 M) | ||||
| Current Asset | 182 M | ||||
| Current Liabilities | 450 M | ||||
| Net Asset | 630.58 M |
About Karsten SA Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Karsten SA's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Karsten SA using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Karsten SA 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 Karsten SA
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 Karsten SA 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 Karsten SA will appreciate offsetting losses from the drop in the long position's value.Moving against Karsten Preferred Stock
| 0.6 | RBED11 | Aesapar Fundo de | PairCorr |
| 0.56 | HGBS11 | HEDGE Brasil Shopping | PairCorr |
| 0.44 | FIGS11 | Fundo de Investimento | PairCorr |
The ability to find closely correlated positions to Karsten SA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Karsten SA 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 Karsten SA - 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 Karsten SA to buy it.
The correlation of Karsten SA 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 Karsten SA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Karsten SA 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 Karsten SA 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 Karsten SA. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the Karsten SA information on this page should be used as a complementary analysis to other Karsten SA'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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Complementary Tools for Karsten Preferred Stock analysis
When running Karsten SA's price analysis, check to measure Karsten SA'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 Karsten SA is operating at the current time. Most of Karsten SA's value examination focuses on studying past and present price action to predict the probability of Karsten SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Karsten SA's price. Additionally, you may evaluate how the addition of Karsten SA to your portfolios can decrease your overall portfolio volatility.
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