IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/42431.html
   My bibliography  Save this paper

Assessing the costs of protection in a context of switching stochastic regimes

Author

Listed:
  • Barrieu, Pauline
  • Bellamy, Nadine
  • Sahut, Jean-Michel

Abstract

We consider the problem of cost assessment in the context of switching stochastic regimes. The dynamics of a given asset include a background noise, described by a Brownian motion and a random shock, the impact of which is characterized by changes in the coefficient diffusions. A particular economic agent that is directly exposed to variations in the underlying asset price, incurs some costs, , when the underlying asset price reaches a certain threshold, L. Ideally, the agent would make advance provision, or hedge, for these costs at time 0. We evaluate the amount of provision, or the hedging premium, , for these costs in the disrupted environment, with changes in the regime for a given time horizon, and analyse the sensitivity of this amount to possible model misspecifications.

Suggested Citation

  • Barrieu, Pauline & Bellamy, Nadine & Sahut, Jean-Michel, 2012. "Assessing the costs of protection in a context of switching stochastic regimes," LSE Research Online Documents on Economics 42431, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:42431
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/42431/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Postali, Fernando A.S. & Picchetti, Paulo, 2006. "Geometric Brownian Motion and structural breaks in oil prices: A quantitative analysis," Energy Economics, Elsevier, vol. 28(4), pages 506-522, July.
    2. Brennan, Michael J & Schwartz, Eduardo S, 1985. "Evaluating Natural Resource Investments," The Journal of Business, University of Chicago Press, vol. 58(2), pages 135-157, April.
    3. Robert S. Pindyck, 1999. "The Long-Run Evolutions of Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-27.
    4. McDonald, Robert L & Siegel, Daniel R, 1985. "Investment and the Valuation of Firms When There Is an Option to Shut Down," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(2), pages 331-349, June.
    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. Alain Bensoussan & Benoit Chevalier-Roignant & Alejandro Rivera, 2022. "A model for wind farm management with option interactions," Post-Print hal-04325553, HAL.
    2. Joanna Goard & Mohammed AbaOud, 2023. "A Bimodal Model for Oil Prices," Mathematics, MDPI, vol. 11(10), pages 1-26, May.
    3. Michail Chronopoulos, Derek Bunn, and Afzal Siddiqui, 2014. "Optionality and Policymaking in Re-Transforming the British Power Market," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    4. Postali, Fernando A.S. & Picchetti, Paulo, 2006. "Geometric Brownian Motion and structural breaks in oil prices: A quantitative analysis," Energy Economics, Elsevier, vol. 28(4), pages 506-522, July.
    5. Adkins, Roger & Paxson, Dean, 2019. "Rescaling-contraction with a lower cost technology when revenue declines," European Journal of Operational Research, Elsevier, vol. 277(2), pages 574-586.
    6. Bar-Ilan, Avner & Strange, William C., 1998. "A model of sequential investment," Journal of Economic Dynamics and Control, Elsevier, vol. 22(3), pages 437-463, March.
    7. Tsekrekos, Andrianos E., 2010. "The effect of mean reversion on entry and exit decisions under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 725-742, April.
    8. Chi H. Truong, 2014. "A Two Factor Model for Water Prices and Its Implications for Evaluating Real Options and Other Water Price Derivatives," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(1), pages 23-45, March.
    9. Chiara D'Alpaos & Cesare Dosi & Michele Moretto, 2005. "Concession lenght and investment timing flexibility," Working Papers ubs0502, University of Brescia, Department of Economics.
    10. Tsekrekos, Andrianos E. & Yannacopoulos, Athanasios N., 2016. "Optimal switching decisions under stochastic volatility with fast mean reversion," European Journal of Operational Research, Elsevier, vol. 251(1), pages 148-157.
    11. Linnenluecke, Martina K. & Smith, Tom & McKnight, Brent, 2016. "Environmental finance: A research agenda for interdisciplinary finance research," Economic Modelling, Elsevier, vol. 59(C), pages 124-130.
    12. Bolton, Patrick & Wang, Neng & Yang, Jinqiang, 2019. "Investment under uncertainty with financial constraints," Journal of Economic Theory, Elsevier, vol. 184(C).
    13. Coggins, Jay S. & Ramezani, Cyrus A., 1998. "An Arbitrage-Free Approach to Quasi-Option Value," Journal of Environmental Economics and Management, Elsevier, vol. 35(2), pages 103-125, March.
    14. Xiao, Chang & Florescu, Ionut & Zhou, Jinsheng, 2020. "A comparison of pricing models for mineral rights: Copper mine in China," Resources Policy, Elsevier, vol. 65(C).
    15. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    16. Chen, I-Ju & Wang, David K., 2019. "Real option, idiosyncratic risk, and corporate investment: Evidence from Taiwan family firms," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    17. Max F. Schöne & Stefan Spinler, 2017. "A four-factor stochastic volatility model of commodity prices," Review of Derivatives Research, Springer, vol. 20(2), pages 135-165, July.
    18. Kassar, Ilhem & Lasserre, Pierre, 2004. "Species preservation and biodiversity value: a real options approach," Journal of Environmental Economics and Management, Elsevier, vol. 48(2), pages 857-879, September.
    19. Celine de Quatrebarbes & Bertrand Laporte, 2015. "What do we know about the mineral resource rent sharing in Africa?," CERDI Working papers halshs-01146279, HAL.
    20. Ozdemir, Zeynel Abidin & Gokmenoglu, Korhan & Ekinci, Cagdas, 2013. "Persistence in crude oil spot and futures prices," Energy, Elsevier, vol. 59(C), pages 29-37.

    More about this item

    Keywords

    provision; hedging; costs assessment; stochastic regimes;
    All these keywords.

    JEL classification:

    • F3 - International Economics - - International Finance
    • G3 - Financial Economics - - Corporate Finance and Governance

    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:ehl:lserod:42431. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.