Print Email Facebook Twitter Mean-variance optimization for life-cycle pension portfolios Title Mean-variance optimization for life-cycle pension portfolios Author Peeters Weem, J.M. Contributor Oosterlee, C.W. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Delft Institute of Applied Mathematics Date 2017-05-24 Abstract In this thesis we discuss a framework for life-cycle construction. For the construction of life-cycles we use mean-variance optimization. Mean-variance optimization is a portfolio selection method used to find a combination of asset classes that has an optimal risk-return trade-off. We choose the replacement ratio, the pension income as fraction of labour income, as the quantity to be optimized. We find that using mean-variance optimization for the construction of deterministic life-cycles yields results that contradict conventional investment wisdom. It is mean-variance optimal to increase risk-taking as time passes, whereas conventional investment wisdom states that risk should decrease as time goes by. We introduce dynamic mean-variance optimization, where the asset allocation can adapt to changing circumstances, as an alternative to deterministic mean-variance optimization. We introduce an algorithm for dynamic mean-variance optimization of the replacement ratio, an extension of the dynamic mean-variance algorithm by Cong and Oosterlee. We show that dynamic mean-variance optimization can be used for life-cycle construction and that dynamic life-cycles outperform deterministic ones. Subject mean-variance optimizationlife-cycle construction To reference this document use: http://resolver.tudelft.nl/uuid:29181e27-003c-4ffa-9c77-aeb53783ad91 Part of collection Student theses Document type master thesis Rights (c) 2017 Peeters Weem, J.M. Files PDF Mean-variance optimizatio ... folios.pdf 3.31 MB Close viewer /islandora/object/uuid:29181e27-003c-4ffa-9c77-aeb53783ad91/datastream/OBJ/view