Skip to main content
Log in

Using jump-diffusion modeling for valuing real options in infrastructure projects

  • Research Article
  • Published:
Frontiers of Computer Science in China Aims and scope Submit manuscript

Abstract

In infrastructure financed projects, in order to attract private investors, host governments often provide some guarantees. This paper develops a value model of minimum revenue guarantee with multiple-exercise real options under the impact of the emergency incident. The model is applied to infrastructure financed projects using the minimum revenue guarantee under simulation. The simulation results indicate that, before quantifying the value of the minimum revenue guarantee, it is necessary to forecast the jump degree and intensity of the emergency incident, as well as prevent and control risks arising from such emergencies. Otherwise, underestimation of the guarantee value will occur and the government will have to bear huge debt in this condition. We also analyze the dependence of the guaranteed value on the minimum guaranteed revenue level, initial revenue and number of exercise rights. For various conditions, the diagrams of the guaranteed value are also presented.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Grimsey D, Darrin M K. Evaluating the risks of public private partnerships for infrastructure projects. International Journal of Project Management, 2002, 20(2): 107–118

    Article  Google Scholar 

  2. Agusdinata B. Exploratory analysis to support real options analysis: an example from electricity infrastructrue investment. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2005, Vol. 4, 3689–3696

    Article  Google Scholar 

  3. Zhao T, Tseng C L. Valuing flexibility in infrastructure expansion. Journal of Infrastructure Systems, 2003, 9(3): 89–97

    Article  Google Scholar 

  4. Kumbaroğlu G, Madlener R, Demirel M. A real options evaluation model for the diffusion prospects of new renewable power generation technologies. Energy Economics, 2008, 30(4): 1882–1908

    Article  Google Scholar 

  5. Merton R C. An analytical derivation of the cost of deposit insurance and loan guarantees: an application of modern option pricing theory. Journal of Banking & Finance, 1977, 1(1): 3–11

    Article  Google Scholar 

  6. Jones E P, Mason S P. Valuation of loan guarantees. Journal of Banking & Finance, 1980, 4(1): 89–107

    Article  Google Scholar 

  7. Miltersen K R, Persson S A. Pricing rate of return guarantees in a heath-jarrow-morton framework. Insurance: Mathematics & Economics, 1999, 25(3): 307–325

    Article  MATH  MathSciNet  Google Scholar 

  8. Lindset S. Pricing of multi-period rate of return guarantees. Insurance: Mathematics & Economics, 2003, 33(3): 629–644

    Article  MATH  MathSciNet  Google Scholar 

  9. Bakken H, Lindset S, Olson L. Pricing of multi-period rate of return guarantees: The Monte Carlo approach. Insurance, Mathematics & Economics, 2003, 33(3): 629–644

    Article  MathSciNet  Google Scholar 

  10. Ye S, Tiong R K L. Government support and risk-return trade-off in China’s BOT power projects engineering. Engineering, Construction, and Architectural Management, 2000, 7(4): 412–422

    Google Scholar 

  11. Brandao L E T, Saraiva E. The option value of government guarantees in infrastructure projects. Construction Management and Economics, 2008, 26(11): 1171–1180

    Article  Google Scholar 

  12. Huang Y L, Chou S P. Valuation of the minimum revenue guarantee and the option to abandon in bot infrastructure projects. Construction Management and Economics, 2006, 24(4): 379–389

    Article  Google Scholar 

  13. Chiara N, Garvin M J, Vecer J. Valuing simple multiple-exercise real options in infrastructure projects. Journal of Infrastructure Systems, 2007, 13(2): 97–104

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guoxing Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, G., Guo, J., Chai, G. et al. Using jump-diffusion modeling for valuing real options in infrastructure projects. Front. Comput. Sci. China 4, 263–270 (2010). https://doi.org/10.1007/s11704-010-0509-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11704-010-0509-1

Keywords

Navigation