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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 added in small ...
Beta, or the beta coefficient, measures volatility relative to the market and can be used as a risk measure. By definition, the market always has a beta of 1, so betas above 1 are considered more ...
Beta is a way of measuring a stock’s volatility compared with the overall market’s volatility. ... By definition, the market as a whole has a beta of 1, and everything else is defined in ...
Beta is an important measure of one type of risk, but it doesn’t encapsulate all of a stock’s risk. Stocks are shares of real-life businesses , which subjects them to the economic fortunes of ...
The beta (β) of a stock or portfolio is a number describing the volatility of an asset in relation to the volatility of the benchmark that said asset is being compared to. This benchmark is generally the overall financial market and is often estimated via the use of representative indices , such as the S&P 500 .
Alpha (finance) Alpha is a measure of the active return on an investment, the performance of that investment compared with a suitable market index. An alpha of 1% means the investment's return on investment over a selected period of time was 1% better than the market during that same period; a negative alpha means the investment underperformed ...
Beta values can be negative, which infers the existence of financial assets which historically, tended to move in opposite directions to one another by some unit value. It would seem these are the optimal "hedges" to offset market-draw-downs, during periods of market-stress and poor liquidity Beta values can vary dramatically, and previously ...
In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1) in terms of two positive parameters, denoted by alpha (α) and beta (β), that appear as exponents of the variable and its complement to 1, respectively, and control the shape of the distribution.