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Optimal foreign debt for Egypt: A stochastic control approach

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  • Abutaleb, Ahmed S.
  • Hamad, Marwa G.

Abstract

This study assesses the foreign debt policy in Egypt and contrasts it versus the optimal policy during the period 1985–2008. It also presents a forecast of the optimal debt during the period 2009–2014. The optimal debt policy was derived using an open economy model for Egypt. The uncertainties in the model stem from the uncertainties in the interest or debt service payments and the uncertainties in the rate of return on investments. The stochastic control approach was used to find the optimal debt policy. It was found that Egypt could borrow externally as long as the trend in the rate of return on investments exceeds the trend in the real interest rate or the trend in the rate of the debt service payments. The analysis finds that Egypt's foreign debt was higher than the optimal level before 1997. After 1997, foreign debt seems to converge to the optimal level. However, Egypt's foreign debt is still below its optimal level which results in an opportunity cost for the economy to grow, otherwise, GDP could have recorded a favorable increase.

Suggested Citation

  • Abutaleb, Ahmed S. & Hamad, Marwa G., 2012. "Optimal foreign debt for Egypt: A stochastic control approach," Economic Modelling, Elsevier, vol. 29(3), pages 544-556.
    • Handle: RePEc:eee:ecmode:v:29:y:2012:i:3:p:544-556
    DOI: 10.1016/j.econmod.2011.12.006
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    References listed on IDEAS

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    Cited by:

    1. Amal Soliman ElGhouty, 2018. "Public Debt and Economic Growth in Egypt," Business and Economic Research, Macrothink Institute, vol. 8(3), pages 183-200, September.
    2. Virtue U. Ekhosuehi, 2021. "Optimal control of external debt for a developing economy," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 889-905, December.
    3. Wei-han Liu, 2023. "Attaining stochastic optimal control over debt ratios in U.S. markets," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 967-993, October.

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