IDEAS home Printed from https://ideas.repec.org/p/vuw/vuwcsr/18952.html
   My bibliography  Save this paper

Techniques for Estimating the Fiscal Costs and Risks of Long-term Output-based Payments

Author

Listed:
  • Boyle, Glenn
  • Irwin, Tim

Abstract

Long-term commitments to make output-based payments for infrastructure can encourage private investors to provide socially valuable services. Making good decisions about such commitments is difficult however unless the government understands the fiscal costs and risks of possible commitments. Considering voucher schemes shadow tolls availability payments and access connection and consumption subsidies this paper considers measures of the fiscal risks of such commitments including the excess-payment probability and cash-flow-at-risk. Then it illustrates techniques based on modern finance theory for valuing payment commitments by taking account of the timing of payments and their risk-characteristics. Although the paper is inevitably mathematical it focuses on practical applications and shows how the techniques can be implemented in spreadsheets.

Suggested Citation

  • Boyle, Glenn & Irwin, Tim, 2005. "Techniques for Estimating the Fiscal Costs and Risks of Long-term Output-based Payments," Working Paper Series 18952, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
  • Handle: RePEc:vuw:vuwcsr:18952
    as

    Download full text from publisher

    File URL: https://ir.wgtn.ac.nz/handle/123456789/18952
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Penelope J. Brook & Suzanne M. Smith, 2001. "Contracting for Public Services : Output-based Aid and Its Applications," World Bank Publications - Books, The World Bank Group, number 13978, December.
    2. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    3. Stein, Jeremy C, 1996. "Rational Capital Budgeting in an Irrational World," The Journal of Business, University of Chicago Press, vol. 69(4), pages 429-455, October.
    4. Cox, John C. & Ross, Stephen A., 1976. "The valuation of options for alternative stochastic processes," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 145-166.
    5. Breeden, Douglas T., 1979. "An intertemporal asset pricing model with stochastic consumption and investment opportunities," Journal of Financial Economics, Elsevier, vol. 7(3), pages 265-296, September.
    6. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    7. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    8. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    9. William J. Baumol, 1963. "An Expected Gain-Confidence Limit Criterion for Portfolio Selection," Management Science, INFORMS, vol. 10(1), pages 174-182, October.
    10. Boyle, Phelim P., 1977. "Options: A Monte Carlo approach," Journal of Financial Economics, Elsevier, vol. 4(3), pages 323-338, May.
    Full references (including those not matched with items on IDEAS)

    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. Boyle, Glenn & Irwin, Tim, 2005. "Techniques for Estimating the Fiscal Costs and Risks of Long-term Output-based Payments," Working Paper Series 3857, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    2. repec:vuw:vuwscr:18952 is not listed on IDEAS
    3. repec:dau:papers:123456789/2514 is not listed on IDEAS
    4. D. L. Wilcox & T. J. Gebbie, 2013. "On pricing kernels, information and risk," Papers 1310.4067, arXiv.org, revised Oct 2013.
    5. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    6. De Moor, Lieven & Sercu, Piet, 2013. "The smallest firm effect: An international study," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 129-155.
    7. Rajnish Mehra & Sunil Wahal & Daruo Xie, 2021. "Is idiosyncratic risk conditionally priced?," Quantitative Economics, Econometric Society, vol. 12(2), pages 625-646, May.
    8. Shanken, Jay & Zhou, Guofu, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," Journal of Financial Economics, Elsevier, vol. 84(1), pages 40-86, April.
    9. repec:wvu:wpaper:10-08 is not listed on IDEAS
    10. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    11. N. S. Nanayakkara & P. D. Nimal & Y. K. Weerakoon, 2019. "Behavioural Asset Pricing: A Review," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 101-108.
    12. Rocciolo, Francesco & Gheno, Andrea & Brooks, Chris, 2022. "Explaining abnormal returns in stock markets: An alpha-neutral version of the CAPM," International Review of Financial Analysis, Elsevier, vol. 82(C).
    13. Jagannathan, Ravi & Kubota, Keiichi & Takehara, Hitoshi, 1998. "Relationship between Labor-Income Risk and Average Return: Empirical Evidence from the Japanese Stock Market," The Journal of Business, University of Chicago Press, vol. 71(3), pages 319-347, July.
    14. Dimson, Elroy & Mussavian, Massoud, 1999. "Three centuries of asset pricing," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1745-1769, December.
    15. Liu, Ludan, 2008. "It takes a model to beat a model: Volatility bounds," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 80-110, January.
    16. Cisil Sarisoy & Bas J.M. Werker, 2024. "Linear Factor Models and the Estimation of Expected Returns," Finance and Economics Discussion Series 2024-014, Board of Governors of the Federal Reserve System (U.S.).
    17. Nawalkha, Sanjay K., 1997. "A multibeta representation theorem for linear asset pricing theories," Journal of Financial Economics, Elsevier, vol. 46(3), pages 357-381, December.
    18. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    19. Avanidhar Subrahmanyam, 2010. "The Cross†Section of Expected Stock Returns: What Have We Learnt from the Past Twenty†Five Years of Research?," European Financial Management, European Financial Management Association, vol. 16(1), pages 27-42, January.
    20. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    21. Stijn Van Nieuwerburgh & Hanno Lustig & Bryan Kelly & Bernard Herskovic, 2014. "The Common Factor in Idiosyncratic Volatility," 2014 Meeting Papers 810, Society for Economic Dynamics.
    22. Ayesha Afzal & Nawazish Mirza, 2011. "Size and Value Premium in International Portfolios: Evidence from 15 European Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(2), pages 173-190, June.
    23. Li, Minqiang, 2010. "Asset Pricing - A Brief Review," MPRA Paper 22379, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    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:vuw:vuwcsr:18952. 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: Library Technology Services (email available below). General contact details of provider: https://edirc.repec.org/data/fcvuwnz.html .

    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.