Abstract
We consider a two-stage stochastic bond portfolio optimization problem, where an investor aims to optimize the cost of bond portfolio under different scenarios while ensuring predefined liabilities during a given planning horizon. The investor needs to optimally decide whether to buy, hold, or sell bonds based upon present market conditions under different scenarios and varying assumptions, where the scenarios are determined based on interest rates and buying prices of the bonds. Three stochastic integer programming models are proposed and tested using real data from Saudi Sukuk (Bond) Market. The obtained results demonstrate the varying optimal decisions made to manage bond portfolio over the two stages. In addition, the three stochastic programming models for bond portfolio optimization are tested on a large set of randomly generated instances similar to the Saudi Sukuk (Bond) Market. The results of computational experiments attest the efficiency of the proposed models.
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Acknowledgements
This work is dedicated to the loving memory of András Prékopa who introduced us to the field of Stochastic Programming and its fruitful real-world applications.
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Ersoy Subasi and Munevver Mine Subasi were Co-Senior Authors.
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Alreshidi, N.A., Mrad, M., Subasi, E. et al. Two-stage bond portfolio optimization and its application to Saudi Sukuk Market. Ann Oper Res 288, 1–43 (2020). https://doi.org/10.1007/s10479-020-03544-5
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DOI: https://doi.org/10.1007/s10479-020-03544-5