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Continue reading → The post How to Calculate the Beta of a Portfolio appeared first on SmartAsset Blog. Investors, whether beginner or seasoned professionals, all have a threshold for risk. Some ...
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
Using beta to evaluate a stock’s risk. Beta allows for a good comparison between an individual stock and a market-tracking index fund, but it doesn’t offer a complete portrait of a stock’s ...
Standardization of the coefficient is usually done to answer the question of which of the independent variables have a greater effect on the dependent variable in a multiple regression analysis where the variables are measured in different units of measurement (for example, income measured in dollars and family size measured in number of individuals).
where α i is called the asset's alpha, β i is the asset's beta coefficient and SCL is the security characteristic line. Once an asset's expected return, (), is calculated using CAPM, the future cash flows of the asset can be discounted to their present value using this rate to establish the correct price for the asset. A riskier stock will ...
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 ...
The term () represents the movement of the market modified by the stock's beta, while represents the unsystematic risk of the security due to firm-specific factors. Macroeconomic events, such as changes in interest rates or the cost of labor, causes the systematic risk that affects the returns of all stocks, and the firm-specific events are the ...
Again, the optimum beta coefficients may be found by maximizing the log-likelihood function generally using numerical methods. A possible method of solution is to set the derivatives of the log-likelihood with respect to each beta coefficient equal to zero and solve for the beta coefficients: