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A multi-objective multi-period stochastic programming model for public debt management

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  • Balibek, Emre
  • Köksalan, Murat

Abstract

While raising debt on behalf of the government, public debt managers need to consider several possibly conflicting objectives and have to find an appropriate combination for government debt taking into account the uncertainty with regard to the future state of the economy. In this paper, we explicitly consider the underlying uncertainties with a complex multi-period stochastic programming model that captures the trade-offs between the objectives. The model is designed to aid the decision makers in formulating the debt issuance strategy. We apply an interactive procedure that guides the issuer to identify good strategies and demonstrate this approach for the public debt management problem of Turkey.

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  • Balibek, Emre & Köksalan, Murat, 2010. "A multi-objective multi-period stochastic programming model for public debt management," European Journal of Operational Research, Elsevier, vol. 205(1), pages 205-217, August.
    • Handle: RePEc:eee:ejores:v:205:y:2010:i:1:p:205-217
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    2. Paul Glasserman & Amit Sirohi & Allen Zhang, 2017. "The effect of “regular and predictable” issuance on Treasury bill financing," Economic Policy Review, Federal Reserve Bank of New York, issue 23-1, pages 43-56.
    3. Consiglio Andrea & Zenios Stavros A., 2015. "Risk Management Optimization for Sovereign Debt Restructuring," Journal of Globalization and Development, De Gruyter, vol. 6(2), pages 181-213, December.
    4. Murat Köksalan & Ceren Tuncer Şakar, 2016. "An interactive approach to stochastic programming-based portfolio optimization," Annals of Operations Research, Springer, vol. 245(1), pages 47-66, October.
    5. Lecturer Gheorghița Dincă Ph. D, Assoc. Prof. Marius Sorin Dincă Ph. D, 2011. "The Evolution Of The Romanian Public Debt During The Last 10 Years," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 4(39), pages 100-109, May.
    6. Andrea Consiglio & Stavros Zenios, 2015. "Risk profiles for re-profiling the sovereign debt of crisis countries," Journal of Risk Finance, Emerald Group Publishing, vol. 16(1), pages 2-26, January.
    7. Körpeoglu, Ersin & Yaman, Hande & Selim Aktürk, M., 2011. "A multi-stage stochastic programming approach in master production scheduling," European Journal of Operational Research, Elsevier, vol. 213(1), pages 166-179, August.
    8. Valladão, Davi M. & Veiga, Álvaro & Veiga, Geraldo, 2014. "A multistage linear stochastic programming model for optimal corporate debt management," European Journal of Operational Research, Elsevier, vol. 237(1), pages 303-311.
    9. Stavros A. Zenios & Andrea Consiglio & Marialena Athanasopoulou & Edmund Moshammer & Angel Gavilan & Aitor Erce, 2021. "Risk Management for Sustainable Sovereign Debt Financing," Operations Research, INFORMS, vol. 69(3), pages 755-773, May.
    10. Date, P. & Canepa, A. & Abdel-Jawad, M., 2011. "A mixed integer linear programming model for optimal sovereign debt issuance," European Journal of Operational Research, Elsevier, vol. 214(3), pages 749-758, November.
    11. Massol, Olivier & Banal-Estañol, Albert, 2014. "Export diversification through resource-based industrialization: The case of natural gas," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1067-1082.
    12. Aleksandras Vytautas Rutkauskas & Viktorija Stasytytė & Nijolė Maknickienė, 2014. "Government debt as the integral portfolio of assets and liabilities generated by debt," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 22-40, February.
    13. Xu, Jiuping & Tao, Zhimiao, 2012. "A class of multi-objective equilibrium chance maximization model with twofold random phenomenon and its application to hydropower station operation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 85(C), pages 11-33.
    14. Johannes Holler, 2013. "Funding Strategies of Sovereign Debt Management: A Risk Focus," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 51-74.
    15. Xiao Liu & Simge Küçükyavuz & Nilay Noyan, 2017. "Robust multicriteria risk-averse stochastic programming models," Annals of Operations Research, Springer, vol. 259(1), pages 259-294, December.

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