Computer Sciences Corp Stock Beta
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 Beta Analysis
Computer Sciences' Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Current Computer Sciences Beta | 1.17 |
Most of Computer Sciences' fundamental indicators, such as Beta, 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.
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
CompetitionIn accordance with the recently published financial statements, Computer Sciences Corp has a Beta of 1.17. This is 65.69% lower than that of the sector and 82.82% lower than that of the Beta industry. The beta for all United States stocks is notably lower than that of the firm.
Computer Beta 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 Beta 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 beta category among related companies.
As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Computer Sciences will likely underperform.
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 Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft 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 Microsoft - 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 Microsoft to buy it.
The correlation of Microsoft 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 Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft 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 Microsoft 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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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