Simulation of Diversified Portfolios in a Continuous Financial Market
AbstractIn this paper we analyze the simulated behavior of diversified portfolios in a continuous financial market. In particular, we focus on equally weighted portfolios. We illustrate that these well diversified portfolios constitute good proxies of the growth optimal portfolio. The multi-asset market models considered include the Black-Scholes model, the Heston model, the ARCH diffusion model, the geometric Ornstein-Uhlenbeck volatility model and the multi-currency minimal market model. The choice of these models was motivated by the fact that they can be simulated almost exactly and, therefore, very accurately also over longer periods of time. Finally, we provide examples, which demonstrate the robustness of the diversification phenomenon when approximating the growth optimal portfolio of a market by an equal value weighted portfolio. Significant out performance of the market capitalization weighted portfolio by the equal value weighted portfolio can be observed for models.
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Bibliographic InfoPaper provided by Quantitative Finance Research Centre, University of Technology, Sydney in its series Research Paper Series with number 264.
Date of creation: 01 Dec 2009
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growth optimal portfolio; diversification Theorem; diversified portfolios; equally weighted portfolio; exact simulation;
Other versions of this item:
- Eckhard Platen & Renata Rendek, 2010. "Simulation of Diversified Portfolios in a Continuous Financial Market," Research Paper Series 282, Quantitative Finance Research Centre, University of Technology, Sydney.
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- Ignatieva, Katja & Platen, Eckhard, 2012. "Estimating the diffusion coefficient function for a diversified world stock index," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1333-1349.
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