Computer Sciences Corp Stock Current Liabilities

Computer Sciences Corp fundamentals help investors to digest information that contributes to Computer Sciences' financial success or failures. It also enables traders to predict the movement of Computer Stock. The fundamental analysis module provides a way to measure Computer Sciences' 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 Computer Sciences stock.
  
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Computer Current Liabilities Analysis

Computer Sciences' Current Liabilities is the company's short term debt. This usually includes obligations that are due within the next 12 months or within one fiscal year. Current liabilities are very important in analyzing a company's financial health as it requires the company to convert some of its current assets into cash.

Current Liabilities

 = 

Payables

+

Accrued Debt

More About Current Liabilities | All Equity Analysis

Current Computer Sciences Current Liabilities

    
  2.71 B  
Most of Computer Sciences' fundamental indicators, such as Current Liabilities, 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, Computer Sciences Corp is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.
Competition
In accordance with the recently published financial statements, Computer Sciences Corp has a Current Liabilities of 2.71 B. This is 269.65% higher than that of the sector and 84.83% higher than that of the Current Liabilities industry. The current liabilities for all United States stocks is 65.73% higher than that of the company.

Computer Current Liabilities Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Computer Sciences' direct or indirect competition against its Current Liabilities to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Computer Sciences could also be used in its relative valuation, which is a method of valuing Computer Sciences by comparing valuation metrics of similar companies.
Computer Sciences is currently under evaluation in current liabilities category among related companies.

Computer Fundamentals

Pair Trading with Computer Sciences

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 Computer Sciences 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 Computer Sciences will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Fluor could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fluor 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 Fluor - 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 Fluor to buy it.
The correlation of Fluor 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 Fluor moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fluor 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 Fluor 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.
Pair CorrelationCorrelation Matching
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in state.
You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

Other Consideration for investing in Computer Stock

If you are still planning to invest in Computer Sciences Corp check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Computer Sciences' history and understand the potential risks before investing.
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