IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00719698.html
   My bibliography  Save this paper

Risk in Transport Investments

Author

Listed:
  • André de Palma

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, ENS Cachan - École normale supérieure - Cachan)

  • Nathalie Picard

    (X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris, THEMA - Théorie économique, modélisation et applications - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique)

  • Laetitia Andrieu

    (EDF R&D OSIRIS - Optimisation, Simulation, Risque et Statistiques pour les Marchés de l’Energie - EDF R&D - EDF R&D - EDF - EDF)

Abstract

We discuss how the standard Cost-Benefit Analysis should be modified in order to take risk (and uncertainty) into account. We propose different approaches used in finance (Value at Risk, Conditional Value at Risk, Downside Risk Measures, and Efficiency Ratio) as useful tools to model the impact of risk in project evaluation. After introducing the concepts, we show how they could be used in CBA and provide some simple examples to illustrate how such concepts can be applied to evaluate the desirability of a new project infrastructure.

Suggested Citation

  • André de Palma & Nathalie Picard & Laetitia Andrieu, 2012. "Risk in Transport Investments," Post-Print hal-00719698, HAL.
  • Handle: RePEc:hal:journl:hal-00719698
    DOI: 10.1007/s11067-009-9109-8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fishburn, Peter C, 1977. "Mean-Risk Analysis with Risk Associated with Below-Target Returns," American Economic Review, American Economic Association, vol. 67(2), pages 116-126, March.
    2. J. M. Keynes, 1937. "The General Theory of Employment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 51(2), pages 209-223.
    3. Dreze, Jean & Stern, Nicholas, 1987. "The theory of cost-benefit analysis," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 2, chapter 14, pages 909-989, Elsevier.
    4. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    5. Menezes, C & Geiss, C & Tressler, J, 1980. "Increasing Downside Risk," American Economic Review, American Economic Association, vol. 70(5), pages 921-932, December.
    6. André de Palma & Nathalie Picard, 2006. "Equilibria and Information Provision in Risky Networks with Risk-Averse Drivers," Transportation Science, INFORMS, vol. 40(4), pages 393-408, November.
    7. Pindyck, Robert S, 1993. "A Note on Competitive Investment under Uncertainty," American Economic Review, American Economic Association, vol. 83(1), pages 273-277, March.
    8. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, April.
    9. Anand, Sudhir & Nalebuff, Barry, 1987. "Issues in the Application of Cost-Benefit Analysis to," Oxford Economic Papers, Oxford University Press, vol. 39(1), pages 190-222, March.
    10. Flyvbjerg,Bent & Bruzelius,Nils & Rothengatter,Werner, 2003. "Megaprojects and Risk," Cambridge Books, Cambridge University Press, number 9780521009461, October.
    11. Bawa, Vijay S. & Lindenberg, Eric B., 1977. "Capital market equilibrium in a mean-lower partial moment framework," Journal of Financial Economics, Elsevier, vol. 5(2), pages 189-200, November.
    12. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. André Palma & Robin Lindsey & Stef Proost, 2012. "Introduction to the Special Issue on Funding Transportation Infrastructure," Networks and Spatial Economics, Springer, vol. 12(2), pages 183-185, June.
    2. Aleksandr Saprykin & Ndaona Chokani & Reza S. Abhari, 2021. "Uncertainties of Sub-Scaled Supply and Demand in Agent-Based Mobility Simulations with Queuing Traffic Model," Networks and Spatial Economics, Springer, vol. 21(2), pages 261-290, June.
    3. Turró, Mateu & Penyalver, Domingo, 2019. "Hunting white elephants on the road. A practical procedure to detect harmful projects of transport infrastructure," Research in Transportation Economics, Elsevier, vol. 75(C), pages 3-20.
    4. Katarina Buganova & Maria Luskova & Jozef Kubas & Michal Brutovsky & Jaroslav Slepecky, 2021. "Sustainability of Business through Project Risk Identification with Use of Expert Estimates," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    5. Raphael Konde Kazungu & Ayyoob Sharifi, 2023. "Investigating Risks to the Implementation of the Great Equatorial Landbridge (GELB) Highway Project across Africa," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    6. Laurino, Antonio & Beria, Paolo & Grimaldi, Raffaele, 2010. "Financing transport infrastrucure projects in Italy: a critical analysis of the main approaches," MPRA Paper 29140, University Library of Munich, Germany.
    7. Yingying Kang & Rajan Batta & Changhyun Kwon, 2014. "Value-at-Risk model for hazardous material transportation," Annals of Operations Research, Springer, vol. 222(1), pages 361-387, November.
    8. Omid M. Rouhani & H. Oliver Gao, 2016. "Evaluating Various Road Ownership Structures and Potential Competition on an Urban Road Network," Networks and Spatial Economics, Springer, vol. 16(4), pages 1019-1042, December.
    9. David Watling & Giulio Cantarella, 2015. "Model Representation & Decision-Making in an Ever-Changing World: The Role of Stochastic Process Models of Transportation Systems," Networks and Spatial Economics, Springer, vol. 15(3), pages 843-882, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bi, Hongwei & Huang, Rachel J. & Tzeng, Larry Y. & Zhu, Wei, 2019. "Higher-order Omega: A performance index with a decision-theoretic foundation," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 43-57.
    2. Eeckhoudt, Louis & Fiori, Anna Maria & Rosazza Gianin, Emanuela, 2016. "Loss-averse preferences and portfolio choices: An extension," European Journal of Operational Research, Elsevier, vol. 249(1), pages 224-230.
    3. Guo, Dongmei & Hu, Yi & Wang, Shouyang & Zhao, Lin, 2016. "Comparing risks with reference points: A stochastic dominance approach," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 105-116.
    4. Lwin, Khin T. & Qu, Rong & MacCarthy, Bart L., 2017. "Mean-VaR portfolio optimization: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 260(2), pages 751-766.
    5. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    6. Robert Jarrow & Feng Zhao, 2006. "Downside Loss Aversion and Portfolio Management," Management Science, INFORMS, vol. 52(4), pages 558-566, April.
    7. Jules Sadefo Kamdem, 2023. "Risk-Adjusted Performance And Semi-Moments Of Non-Gaussian Portfolio Returns Distributions," Working Papers hal-04134833, HAL.
    8. Yao, Haixiang & Huang, Jinbo & Li, Yong & Humphrey, Jacquelyn E., 2021. "A general approach to smooth and convex portfolio optimization using lower partial moments," Journal of Banking & Finance, Elsevier, vol. 129(C).
    9. Jules Sadefo-Kamdem, 2011. "Downside Risk And Kappa Index Of Non-Gaussian Portfolio With Lpm," Working Papers hal-00733043, HAL.
    10. Mohd Azdi Maasar & Diana Roman & Paresh Date, 2022. "Risk minimisation using options and risky assets," Operational Research, Springer, vol. 22(1), pages 485-506, March.
    11. Fulga, Cristinca, 2016. "Portfolio optimization under loss aversion," European Journal of Operational Research, Elsevier, vol. 251(1), pages 310-322.
    12. Dipankar Mondal & N. Selvaraju, 2022. "Convexity, two-fund separation and asset ranking in a mean-LPM portfolio selection framework," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 225-248, March.
    13. Brogan, Anita J. & Stidham Jr., Shaler, 2008. "Non-separation in the mean-lower-partial-moment portfolio optimization problem," European Journal of Operational Research, Elsevier, vol. 184(2), pages 701-710, January.
    14. Elisa BORGHI & Chiara DEL BO & Massimo FLORIO, 2010. "The theory of public enterprise, social welfare and planning: a note," Departmental Working Papers 2010-20, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    15. Catarina Roseta‐Palma & Yiğit Sağlam, 2019. "Downside risk in reservoir management," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), pages 328-353, April.
    16. Cabrales, Antonio & Charness, Gary, 2011. "Optimal contracts with team production and hidden information: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 77(2), pages 163-176, February.
    17. Karma, Otto & Sander, Priit, 2006. "The impact of financial leverage on risk of equity measured by loss-oriented risk measures: An option pricing approach," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1340-1356, December.
    18. Salomons, Roelof & Grootveld, Henk, 2002. "The equity risk premium: emerging versus developed markets," Research Report 02E45, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    19. Zhaoqi Zang & Richard Batley & Xiangdong Xu & David Z. W. Wang, 2022. "On the value of distribution tail in the valuation of travel time variability," Papers 2207.06293, arXiv.org, revised Dec 2023.
    20. Geissel Sebastian & Sass Jörn & Seifried Frank Thomas, 2018. "Optimal expected utility risk measures," Statistics & Risk Modeling, De Gruyter, vol. 35(1-2), pages 73-87, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-00719698. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.