Friday, June 21, 2019

Statistics presentation Coursework Example | Topics and Well Written Essays - 1500 words

Statistics presentation - Coursework ExampleThis formula is based on the stake free rate of the security, the of import factor of that security and the discrepancy between the risk free rates of that investment firm. Understanding the testing of the CAPM, requires a good knowledge of these components of the CAPM. Investing in non-homogeneous securities in the securities market has various risks that the investors must consider when putting their funds in such securities (Sharpe, 2010). These risks are represented in the CAPM formula are the unsystematic risk in the market.The risk in each companys stock is accounted for in the capital asset pricing impersonate formula with the beta factor as the unsystematic risk factor. In this work of capital asset pricing model testing, beta factor in the formula is used to measure the level of risk when an investor decides to invest in any of the 20 companies discussed relative to the market risk (Mullins, 2012). For this coursework, the b eta of the market would be 1 of the FTSE market index of the 20 companies. In measurement of the CAPM, an individual security, which will have a beta of 1.5 will be riskier than the market and less risky than the market if the stock has a beta of 0.5. The formula of the Capital Asset Pricing example is given asThe risk free rate in the Capital Asset Pricing Model (CAPM) formula is the rate which is expected by the investors to be free from any risk when they invest in any of the companies stocks. These are like the Treasury schnoz rate for governments and are generally used as it is short term.Besides, the risk premium is also a component of the CAPM. The capital asset pricing model is made up of two components. If this market risk is multiplied by the beta factor of the market and added to the risk free rate, then, the expected return of the stock can be determined and tested in this case (Lakonishok and Allan, 2013, pp.16). Risk is the same with the volatility. For example, if t he market risk is 1 and in the test a rectify of 2 was found then, the

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