Financial Risk of Port Infrastructure Development
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 126, Issue 6
Abstract
Continually changing shipping industry practices, cargo composition, world markets, and competition among ports are making revenue estimates uncertain. This paper demonstrates the application of Monte Carlo simulation for scrutinizing sources of uncertainty and their impact on investment risk. Strengths and weaknesses of Monte Carlo simulation are discussed using the Port of Colombo development project in Sri Lanka as a case example.
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References
1.
Abeywickrema, R. J. ( 1995). “The case for developing Sri Lanka as a regional shipping center.” Institute of Policy Studies and Planning of Sri Lanka, Colombo, Sri Lanka.
2.
Ang, A. H.-S., and Tang, W. H. ( 1984). Probability concepts in engineering planning and design probability, Wiley, New York.
3.
Cooper, D. F., and Chapman, C. B. ( 1987). Risk analysis for large projects, Wiley, New York.
4.
Damodaran, A. ( 1997). Corporate finance: Theory and practice, Wiley, New York.
5.
deNeufville, R. ( 1990). Applied systems analysis: Engineering, planning and technology management, McGraw-Hill, New York.
6.
Greenberg, J. S. ( 1982). The influence of risk and other factors. Research and information service, American Management Association.
7.
Hull, J. C. ( 1980). The evaluation of risk in business investment, Pergamon, Tarrytown, N.Y.
8.
McCrimmon, K. R., and Ryavec, C. A. ( 1964). “An analytical study of the PERT assumptions.” Operations Res., 12.
9.
Nonneman, W. ( 1972). “Port cost functions.” Working Paper SESO, Ctr. for Economic and Social Res., University of Antwerp, Antwerp, Belgium.
10.
Office of Port and Intermodal Development. ( 1991). “United States port development expenditure report.” Rep., U.S. Department of Transportation, Washington, D.C.
11.
Port Risk Management Guidebook. (1985). A risk management and insurance reference for U.S. port, Maritime Admin., U.S. Department of Transportation, Washington, D.C.
12.
Pouliquen, L. ( 1970). Risk analysis in project appraisal, Johns Hopkins University Press, Baltimore.
13.
Ranasinghe, M., and Russell, A. D. ( 1992a). “Analytical approach for economic risk quantification of large engineering projects: Validation.” Constr. Mgmt. and Economics, 10, 45–68.
14.
Ranasinghe, M., and Russell, A. D. ( 1992b). “Treatment of correlation for risk analysis of engineering projects.” Civ. Engrg. Sys. 9, 17–39.
15.
Skamris, M. E., and Flyvberg. ( 1996). “Bent. accuracy of traffic forecasts and cost estimates on large transportation projects.” Transp. Res. Rec. 1518, Transportation Research Board, National Research Council, Washington, D.C., 65–69.
16.
Touran, A., and Wiser, E. P. (1992). “Monte Carlo technique with correlated random variables.”J. Constr. Engrg. and Mgmt., ASCE, 118(2), 258–272.
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Received: Aug 31, 1998
Published online: Dec 1, 2000
Published in print: Dec 2000
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