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This work is addressed to the derivation of the CAPM with two distinct levels. The first derivation is an attractive simple derivation of. This is followed by a more rigorous derivation. It is confirmed that CAPM can be a good method to choose portfolios and the beta of an asset and the average beta of a well-diversified portfolio could provide a reasonable measure of portfolio risk. Also are introduced the coherent measures of risk and the CVaR. The mutual relationships between CVaR - Average Return and Standard Deviation are discussed using Excel, The relative efficient frontiers derived…mehr

Produktbeschreibung
This work is addressed to the derivation of the CAPM with two distinct levels. The first derivation is an attractive simple derivation of. This is followed by a more rigorous derivation. It is confirmed that CAPM can be a good method to choose portfolios and the beta of an asset and the average beta of a well-diversified portfolio could provide a reasonable measure of portfolio risk. Also are introduced the coherent measures of risk and the CVaR. The mutual relationships between CVaR - Average Return and Standard Deviation are discussed using Excel, The relative efficient frontiers derived from the respective relationships and calculated by the Excel Solver, that are reported in the continuation present a clear and interesting view of securities and efficient portfolios. Seeing the securities trend of the Milan Stock Exchange for the period under consideration we've found very useful the representation of the so called "Radar" diagrams. An interesting observation from this analysis was: "Not always a growing return (profit) corresponds to a growing Standard Deviation (risk)". Being CVaR a more accurate measure of risk has allowed us to have situations closer to the reality.
Autorenporträt
Valbona Karapici is a lecturer of Macroeconomics at the Tirana University. She received Master of Science in Financial Mathematics & Master of Sciences in Economy and Market Policy at Bologna University. She is a PhD candidate at Bamberg University. Her fields of interest are Quantitative Analysis and Modeling for Energy Trading & Risk Management.