[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1406.0055.html
   My bibliography  Save this paper

Explicit investment rules with time-to-build and uncertainty

Author

Listed:
  • Ren'e Aid
  • Salvatore Federico
  • Huy^en Pham
  • Bertrand Villeneuve
Abstract
We establish explicit socially optimal rules for an irreversible investment deci- sion with time-to-build and uncertainty. Assuming a price sensitive demand function with a random intercept, we provide comparative statics and economic interpreta- tions for three models of demand (arithmetic Brownian, geometric Brownian, and the Cox-Ingersoll-Ross). Committed capacity, that is, the installed capacity plus the in- vestment in the pipeline, must never drop below the best predictor of future demand, minus two biases. The discounting bias takes into account the fact that investment is paid upfront for future use; the precautionary bias multiplies a type of risk aversion index by the local volatility. Relying on the analytical forms, we discuss in detail the economic effects.

Suggested Citation

  • Ren'e Aid & Salvatore Federico & Huy^en Pham & Bertrand Villeneuve, 2014. "Explicit investment rules with time-to-build and uncertainty," Papers 1406.0055, arXiv.org.
  • Handle: RePEc:arx:papers:1406.0055
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1406.0055
    File Function: Latest version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pacheco-de-Almeida, Goncalo & Zemsky, Peter, 2003. "The Effect of Time-to-Build on Strategic Investment under Uncertainty," RAND Journal of Economics, The RAND Corporation, vol. 34(1), pages 166-182, Spring.
    2. Giorgio Ferrari, 2012. "On an integral equation for the free-boundary of stochastic, irreversible investment problems," Papers 1211.0412, arXiv.org, revised Jan 2015.
    3. Steven R. Grenadier, 2002. "Option Exercise Games: An Application to the Equilibrium Investment Strategies of Firms," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 691-721.
    4. Robert McDonald & Daniel Siegel, 1986. "The Value of Waiting to Invest," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(4), pages 707-727.
    5. Milne, Alistair & Whalley, A Elizabeth, 2000. "'Time to build, option value and investment decisions': a comment," Journal of Financial Economics, Elsevier, vol. 56(2), pages 325-332, May.
    6. Bar-Ilan, Avner & Sulem, Agnes & Zanello, Alessandro, 2002. "Time-to-build and capacity choice," Journal of Economic Dynamics and Control, Elsevier, vol. 26(1), pages 69-98, January.
    7. Bar-Ilan, Avner & Strange, William C, 1996. "Investment Lags," American Economic Review, American Economic Association, vol. 86(3), pages 610-622, June.
    8. Felipe L. Aguerrevere, 2003. "Equilibrium Investment Strategies and Output Price Behavior: A Real-Options Approach," The Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1239-1272.
    9. Gonçalo Pacheco-De-Almeida & Peter Zemsky, 2003. "The Effect of Time-to-Build on Strategic Investment under Uncertainty," Post-Print hal-00576375, HAL.
    10. Bruder, Benjamin & Pham, Huyên, 2009. "Impulse control problem on finite horizon with execution delay," Stochastic Processes and their Applications, Elsevier, vol. 119(5), pages 1436-1469, May.
    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. Mike Ludkovski, 2022. "Regression Monte Carlo for Impulse Control," Papers 2203.06539, arXiv.org.
    2. Julien Prat & Benjamin Walter, 2021. "An Equilibrium Model of the Market for Bitcoin Mining," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2415-2452.
    3. De Cesare, Luigi & Sportelli, Mario, 2022. "A non-linear approach to Kalecki’s investment cycle," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 193(C), pages 57-70.
    4. Torben Koch & Tiziano Vargiolu, 2019. "Optimal Installation of Solar Panels with Price Impact: a Solvable Singular Stochastic Control Problem," Papers 1911.04223, arXiv.org.
    5. Salvatore Federico & Mauro Rosestolato & Elisa Tacconi, 2018. "Irreversible investment with fixed adjustment costs: a stochastic impulse control approach," Papers 1801.04491, arXiv.org, revised Feb 2019.
    6. Aïd, René & Basei, Matteo & Ferrari, Giorgio, 2023. "A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy," Center for Mathematical Economics Working Papers 679, Center for Mathematical Economics, Bielefeld University.
    7. Aïd, René & Li, Liangchen & Ludkovski, Michael, 2017. "Capacity expansion games with application to competition in power generation investments," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 1-31.
    8. Jukka Lempa, 2020. "Some results on optimal stopping under phase-type distributed implementation delay," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 91(3), pages 559-583, June.
    9. Genc, Talat S., 2017. "The impact of lead time on capital investments," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 142-164.
    10. Magnus Perninge, 2018. "A limited-feedback approximation scheme for optimal switching problems with execution delays," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 87(3), pages 347-382, June.
    11. Giorgio Fabbri & Fausto Gozzi & Andrzej Swiech, 2017. "Stochastic Optimal Control in Infinite Dimensions - Dynamic Programming and HJB Equations," Post-Print hal-01505767, HAL.
    12. Ren'e Aid & Matteo Basei & Giorgio Ferrari, 2023. "A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy," Papers 2305.00541, arXiv.org.

    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. Fredrik Armerin & Han-Suck Song, 2021. "A framework for modelling cash flow lags," SN Business & Economics, Springer, vol. 1(10), pages 1-13, October.
    2. Jeon, Haejun, 2021. "Investment timing and capacity decisions with time-to-build in a duopoly market," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
    3. Jyh-Bang Jou & Tan (Charlene) Lee, 2011. "Mutually exclusive investment with technical uncertainty," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4723-4728.
    4. Dumortier, Jerome & Kauffman, Nathan & Hayes, Dermot J., 2017. "Production and spatial distribution of switchgrass and miscanthus in the United States under uncertainty and sunk cost," Energy Economics, Elsevier, vol. 67(C), pages 300-314.
    5. Genc, Talat S., 2017. "The impact of lead time on capital investments," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 142-164.
    6. Taschini, Luca, 2021. "Flexibility premium of emissions permits," Journal of Economic Dynamics and Control, Elsevier, vol. 126(C).
    7. Haejun Jeon, 2023. "Time-to-build and capacity expansion," Annals of Operations Research, Springer, vol. 328(2), pages 1461-1494, September.
    8. Lei Zhu & ZhongXiang Zhang & Ying Fan, 2011. "An evaluation of overseas oil investment projects under uncertainty using a real options based simulation model," Economics Study Area Working Papers 121, East-West Center, Economics Study Area.
    9. Pierre Lasserre & Moez Souissi, 2007. "It Takes Two to Tango. La fusion : exercice de deux options réelles," Économie et Prévision, Programme National Persée, vol. 178(2), pages 51-65.
    10. Aïd, René & Basei, Matteo & Ferrari, Giorgio, 2023. "A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy," Center for Mathematical Economics Working Papers 679, Center for Mathematical Economics, Bielefeld University.
    11. Chevalier-Roignant, Benoît & Flath, Christoph M. & Huchzermeier, Arnd & Trigeorgis, Lenos, 2011. "Strategic investment under uncertainty: A synthesis," European Journal of Operational Research, Elsevier, vol. 215(3), pages 639-650, December.
    12. Laarni T. Bulan, 2005. "Real options, irreversible investment and firm uncertainty: New evidence from U.S. firms," Review of Financial Economics, John Wiley & Sons, vol. 14(3-4), pages 255-279.
    13. Saphores, Jean-Daniel & Gravel, Éric & Bernard, Jean-Thomas, 2003. "Environmental Impact Assessment and Investment under Uncertainty. An Application to Power Grid Interconnection," Cahiers de recherche 0303, GREEN.
    14. Ren'e Aid & Matteo Basei & Giorgio Ferrari, 2023. "A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy," Papers 2305.00541, arXiv.org.
    15. Roques, F.A. & Savva , N.S., 2006. "Price Cap Regulation and Investment Incentives under Demand Uncertainty," Cambridge Working Papers in Economics 0636, Faculty of Economics, University of Cambridge.
    16. Gkochari, Christiana C., 2015. "Optimal investment timing in the dry bulk shipping sector," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 102-109.
    17. Huang, Ying Sophie & Wu, Jiajia & Guo, Feng, 2022. "Venture capital staging under economic policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 572-596.
    18. Feil, Jan-Henning & Musshoff, Oliver, 2013. "Modelling investment and disinvestment decisions under competition, uncertainty and different market interventions," Economic Modelling, Elsevier, vol. 35(C), pages 443-452.
    19. Ren'e Aid & Luciano Campi & Nicolas Langren'e & Huy^en Pham, 2012. "A probabilistic numerical method for optimal multiple switching problem and application to investments in electricity generation," Papers 1210.8175, arXiv.org.
    20. Joachim Gahungu and Yves Smeers, 2012. "A Real Options Model for Electricity Capacity Expansion," RSCAS Working Papers 2012/08, European University Institute.

    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

    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:arx:papers:1406.0055. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.