In this thesis we optimize portfolios of one riskless bond and several risky assets in the Black-Scholes model as well as when asset prices follow an exponential Lévy process, which is a natural generalization of the Black-Scholes model. As an alternative to the classical mean variance portfolio selection which goes back to Markowitz, we consider as risk measures so called lower partial moments, e. g. the Value-at-Risk or the expected shortfall which are new benchmark risk measures. Here we replace the variance by the Capital-at-Risk (CaR), of which we think as the capital reserve in equity. We define the CaR as the difference between the riskless wealth and some risk measure. To solve these problems we derive new analytic results for Lévy processes. We also give simulations for realistic financial models.
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In this thesis we optimize portfolios of one riskless bond and several risky assets in the Black-Scholes model as well as when asset prices follow an exponential Lévy process, which is a natural generalization of the Black-Scholes model. As an alternative to the classical mean variance portfolio selection which goes back to Markowitz, we consider as risk measures so called lower partial moments, e. g. the Value-at-Risk or the expected shortfall which are new benchmark risk measures. Here we repl...
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