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Risk and Return - Beta Calculation

Beta Calculation

The Beta (β) of a portfolio or stock is a number outlining the correlation of its yields with those of the financial market entirely. A assess of the systematic risk or a portfolio or volatility of a security in equating the market as a whole. Beta is employed in the capital asset pricing model (CAPM), a model that computes the anticipated return of an asset grounded on its beta and anticipated market returns.

An asset has the Beta of zero if its returns vary independent of alterations in the returns of the market. A positive beta entails that the asset's returns more frequently than not follow the market's returns, in the way that they both incline to be above their several averages together or both incline to be below their several averages together. A negative beta entails that the asset's returns more frequently than not proceed inverse to the market's returns, since one will incline to be above its average when the some other is below its average.

It evaluates the component of the statistical divergence of the asset that cannot be took out by the diversification rendered by the portfolio of various high-risk assets, as for the correlation of its returns with the returns of other assets which are in portfolio. Beta could be estimated for several companies employing regression analysis contradicting to a stock market index.

The expression for the beta of an asset within a portfolio is

where ra evaluates the rate of return of the asset, rp evaluates the rate of return of the portfolio, and cov(ra,rp) is the covariance among the rates of return. The portfolio of interest in the CAPM approach is the market portfolio that comprises all risky assets and thus the rp terms in the formula are substituted by rm which is the rate of return of the market.

Beta is also mentioned to as financial elasticity or  correlated relative volatility  and could be cited to as an assess of the sensitivity of the return of asset to market returns, risk, its systematic risk or market risk and its non-diversified. On an individual asset level, evaluating beta could yield clues to liquidity and volatility in the marketplace. Measuring beta, in fund management is believed to discriminate a ability of the manager from the inclination to accept risk.

The beta coefficient was acquitted out of linear regression analysis. It is linked to a regression analysis of the returns of a portfolio such as a stock index on the x-axis in a particular period versus returns of the individual asset y axis in specific year. The regression line is thence known as the Security characteristic Line (SCL).

                  is referred as the asset's alpha and         is referred as the asset's beta coefficient. Both coefficients have an substantial role in Modern portfolio theory.

For an illustration, in a year where the benchmark index or broad market returns 30% above the risk free rate, assume two managers gain 60% above the risk free rate. Since this more eminent return is theoretically possible only by acquiring a leveraged place in the broad market to double the beta so it is precisely 2.0, investor would require a skilled portfolio manager to have worked up the outperforming portfolio with a beta slightly less than 2, such that the surplus return does not explained by beta is positive. If one of the portfolios of manager has an average beta of 3.0, and the others has the beta of  1.5 only, then the CAPM simply states that the extra return of the first manager is not sufficient to compensate us for that manager's risk, while on the contrary the second manager has done more than anticipated at given risk. Whether investors could anticipate the second manager to duplicate that performance in future periods is of course a various question.

A misconception about beta is that it assess the volatility of a security relative to the volatility of the market. If this were true, then a security with a beta of 1 would have  similar volatility of returns as  volatility of market returns. In fact, this is not the case, since beta also incorporates the correlation of returns between the security and the market. By the definition of beta, the formula relating beta (      ), the relative volatility of the security (      )  , the correlation of returns (      )  and the market volatility (      )  is

For illustration, if one stock has low volatility and high correlation and  other stock has low correlation and the high volatility, the beta shall be employed to compare their correlated volatility.

This also leads to an inequality (since            is not greater than one):

Otherwise stated, beta sets a floor on volatility. For illustration, if market volatility is 10%, any stock with the beta of 1 must have volatility of at least 10%.

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