Computer Sciences Corp Alpha and Beta Analysis
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Computer Sciences Corp. It also helps investors analyze the systematic and unsystematic risks associated with investing in Computer Sciences over a specified time horizon. Remember, high Computer Sciences' alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Computer Sciences' market risk premium analysis include:
Beta 0.0 | Alpha 0.0 | Risk 0.0 | Sharpe Ratio 0.0 | Expected Return 0.0 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
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Computer Sciences Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Computer Sciences market risk premium is the additional return an investor will receive from holding Computer Sciences long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Computer Sciences. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Computer Sciences' performance over market.| α | 0.00 | β | 0.00 |
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.
Build Portfolio with Computer Sciences
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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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