Computer Sciences Corp Stock Five Year Return
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.
Computer |
Computer Sciences Corp Company Five Year Return Analysis
Computer Sciences' Five Year Return is considered one of the best measures to evaluate fund performance, especially from the mid and long term perspective. It shows the total annualized return generated from holding equity for the last five years and represents capital appreciation of the investment, including all dividends, losses, and capital gains distributions.
More About Five Year Return | All Equity Analysis
Five Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Although Five Year Returns can give a sense of overall investment potential, it is recommended to compare equity performance with similar assets for the same five year time interval. Similarly, comparing overall investment performance over the last five years with the appropriate market index is a great way to determine how this equity instrument will perform during unforeseen market fluctuations.
CompetitionAccording to the company disclosure, Computer Sciences Corp has a Five Year Return of 0.0%. This indicator is about the same for the average (which is currently at 0.0) sector and about the same as Five Year Return (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
Computer Five Year Return 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 Five Year Return 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 five year return category among related companies.
Computer Fundamentals
| Return On Equity | -76.21 | |||
| Return On Asset | -0.0029 | |||
| Profit Margin | (0) % | |||
| Operating Margin | 4.28 % | |||
| Current Valuation | 11.01 B | |||
| Shares Outstanding | 170.88 M | |||
| Shares Owned By Insiders | 0.39 % | |||
| Shares Owned By Institutions | 95.20 % | |||
| Number Of Shares Shorted | 11.55 M | |||
| Price To Earning | (88.70) X | |||
| Price To Book | 4.18 X | |||
| Price To Sales | 1.16 X | |||
| Revenue | 11.38 B | |||
| Gross Profit | 2.19 B | |||
| EBITDA | 1.27 B | |||
| Net Income | 344.1 M | |||
| Cash And Equivalents | 149.1 M | |||
| Cash Per Share | 7.49 X | |||
| Total Debt | 2.2 B | |||
| Debt To Equity | 1.42 % | |||
| Current Ratio | 1.23 X | |||
| Book Value Per Share | 27.52 X | |||
| Cash Flow From Operations | 1.31 B | |||
| Earnings Per Share | (0.78) X | |||
| Number Of Employees | 59 K | |||
| Beta | 1.17 | |||
| Market Capitalization | 9.75 B | |||
| Total Asset | 8.61 B | |||
| Retained Earnings | 4.53 B | |||
| Working Capital | 596.2 M | |||
| Current Asset | 3.3 B | |||
| Current Liabilities | 2.71 B | |||
| Z Score | 3.4 |
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 Computer Sciences 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, Computer Sciences' short interest history, or implied volatility extrapolated from Computer Sciences options trading.
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 Constellation Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Constellation Brands 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 Constellation Brands - 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 Constellation Brands Class to buy it.
The correlation of Constellation Brands 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 Constellation Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Constellation Brands 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 Constellation Brands 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. 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
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.
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Content Syndication Quickly integrate customizable finance content to your own investment portal | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Money Managers Screen money managers from public funds and ETFs managed around the world |