Abstract.
This paper examines the modelling and solution method of complex multiperiod optimal consumption and investment problems with several kinds of constraints. Our work differs from previous results in several ways: typical market imperfections such as short sale constraints, proportional transaction costs are considered simultaneously; the MGARCH model is adopted to provide a satisfactory description of the time-varying behavior of stock returns; the CVaR constraint is introduced to control the wealth loss risk while maximizing the expected utility; it is assumed that the investor wants to maximize the expected utility of both his intermediate consumptions and his terminal wealth; most importantly, the considered problem is described as a stochastic programming problem, which can easily cope with problems with arbitrary utility functions, multiple risky assets and many periods. The derived model can help the investor to find robust consumption-investment decisions. The procedure to solve the resulting nonlinear stochastic optimization problem is discussed in detail. Numerical results show the suitability and promise of our methodology.
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This research was partially supported by the Natural Science Foundation of Shaanxi Province, PRC. The author wishes to express many thanks to an anonymous referee, Professors Hans-Otto Guenther and Edwin Fischer (Editors) for their very helpful comments on a previous version of this paper.
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Chen, Z. Multiperiod consumption and portfolio decisions under the multivariate GARCH model with transaction costs and CVaR-based risk control. OR Spectrum 27, 603–632 (2005). https://doi.org/10.1007/s00291-005-0195-9
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DOI: https://doi.org/10.1007/s00291-005-0195-9