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In finance, the beta (β or market beta or beta coefficient) is a statistic that measures the expected increase or decrease of an individual stock price in proportion to movements of the stock market as a whole. Beta can be used to indicate the contribution of an individual asset to the market risk of a portfolio when it is
To calculate beta, investors divide the covariance of an individual stock (say, Apple) with the overall market, often represented by the Standard & Poor’s 500 Index, by the variance of the ...
(Thus it is important to disclose the nature & magnitude of financial instruments including off-balance sheet). Persistence: Source of increase in current earnings affects the ERC: If earnings are expected to persist into the future this will result in a higher ERC. If the component in the earnings is non-persistent (i.e. unusual, non recurring ...
An estimation of the CAPM and the security market line (purple) for the Dow Jones Industrial Average over 3 years for monthly data.. In finance, the capital asset pricing model (CAPM) is a model used to determine a theoretically appropriate required rate of return of an asset, to make decisions about adding assets to a well-diversified portfolio.
A stock with a high beta indicates it's more volatile than the overall market and can react with dramatic share-price changes amid market swings. … Continue reading ->The post What Is Beta?
Yahoo Finance is a media property that is part of the Yahoo network. It provides financial news, data and commentary including stock quotes , press releases , financial reports , and original content.
Yahoo! Finance uses 5-year expected growth rate and a P/E based on the EPS estimate for the current fiscal year for calculating PEG (PEG for IBM is 1.26 on Aug 9, 2008 [3]). The NASDAQ web-site uses the forecast growth rate (based on the consensus of professional analysts) and forecast earnings over the next 12 months.
The first stage consists of fitting a series of local factor models of the familiar form resulting in a set of factor returns f(i,j,t) where f(i,j,t) is the return to factor i in the jth local model at t. The factor returns are then fit to a second stage model of the form