Two-stage bond portfolio optimization and its application to Saudi Sukuk Market

Nasser Aedh Alreshidi (), Mehdi Mrad (), Ersoy Subasi () and Munevver Mine Subasi ()
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Nasser Aedh Alreshidi: Northern Border University
Mehdi Mrad: King Saud University
Ersoy Subasi: Florida Institute of Technology
Munevver Mine Subasi: Florida Institute of Technology

Annals of Operations Research, 2020, vol. 288, issue 1, No 1, 43 pages

Abstract: 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.

Keywords: Two-stage programming; Bond portfolio optimization; Mixed integer linear programming (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10479-020-03544-5

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