The industry of online personal financial services is expected over the next years to absorb an increasing share of households and individuals’ savings and investment decisions with a parallel expansion of tailored decision tools and underlying methodological developments. In this article we present a dynamic stochastic optimisation model formulated to tackle a long-term optimal wealth management problem-based explicitly on the introduction of consumption and investment goals with a terminal inflation-adjusted retirement target. By embedding a goal-based investing philosophy in a dynamic framework we provide a reference modelling approach for increasingly popular households asset-liability management services. In a discrete setting we show that a dynamic stochastic programming formulation will lead to a highly realistic representation and solution of an otherwise hardly manageable optimisation problem and it is consistent with computer-aided decision support tools’ operational requirements.
(2018). Asset-liability management and goal-based investing for retail business [journal article - articolo]. In INTERNATIONAL JOURNAL OF FINANCIAL ENGINEERING AND RISK MANAGEMENT. Retrieved from http://hdl.handle.net/10446/128499
Asset-liability management and goal-based investing for retail business
Consigli, Giorgio;
2018-01-01
Abstract
The industry of online personal financial services is expected over the next years to absorb an increasing share of households and individuals’ savings and investment decisions with a parallel expansion of tailored decision tools and underlying methodological developments. In this article we present a dynamic stochastic optimisation model formulated to tackle a long-term optimal wealth management problem-based explicitly on the introduction of consumption and investment goals with a terminal inflation-adjusted retirement target. By embedding a goal-based investing philosophy in a dynamic framework we provide a reference modelling approach for increasingly popular households asset-liability management services. In a discrete setting we show that a dynamic stochastic programming formulation will lead to a highly realistic representation and solution of an otherwise hardly manageable optimisation problem and it is consistent with computer-aided decision support tools’ operational requirements.File | Dimensione del file | Formato | |
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