Please use this identifier to cite or link to this item: https://doi.org/10.1109/CSO.2009.368
Title: A dynamic stochastic network model for asset allocation problem
Authors: Song, H.
Huang, H.-C. 
Shi, N.
K. K. Lai
Issue Date: 2009
Source: Song, H., Huang, H.-C., Shi, N., K. K. Lai (2009). A dynamic stochastic network model for asset allocation problem. Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 2 : 597-601. ScholarBank@NUS Repository. https://doi.org/10.1109/CSO.2009.368
Abstract: Asset allocation is an important decision problem in financial planning. In this paper, we study the multistage dynamic asset allocation problem in which an investor is allowed to reallocate its wealth among a set of assets over finite discrete decision points and the stochastic return rates of the assets follow aMarkov chain with nonstationary transition probabilities. The objective is to maximize the utility of the wealth at the end of the planning horizon where the utility of the wealth follows a general piecewise linear and concave function. Transaction costs are considered. We formulate the problem with a dynamic stochastic network model which has potential to introduce a computationally tractable tool to deal with the dynamic asset allocation problem of large number of assets and long planning horizon. © 2009 IEEE.
Source Title: Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/72235
ISBN: 9780769536057
DOI: 10.1109/CSO.2009.368
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