IDEAS home Printed from https://ideas.repec.org/a/eme/arjpps/arj-08-2020-0278.html
   My bibliography  Save this article

Estimation of a term structure model of carbon prices through state spaces methods: a pitch

Author

Listed:
  • Thomas William Aspinall
  • Adrian Gepp
  • Geoff Harris
  • Simone Kelly
  • Colette Southam
  • Bruce Vanstone

Abstract

Purpose - The pitching research template (PRT) is designed to help pitchers identify the core elements that form the framework of any research project. This paper aims to provide a brief commentary on an application of the PRT to pitch an environmental finance research topic with a personal reflection on the pitch exercise discussed. Design/methodology/approach - This paper applies the PRT developed by Faff (2015, 2019) to a research project on estimating the strength of carbon pricing signals under the European Union Emissions Trading Scheme. Findings - The PRT is found to be a valuable tool to refine broad ideas into impactful and novel research contributions. The PRT is recommended for use by all academics regardless of field and particularly PhD students to structure and communicate their research ideas. The PRT is found to be particularly well suited to pitch replication studies, as it effectively summarizes both the “idea” and proposed “twist” of a replication study. Originality/value - This letter is a reflection on a research teams experience with applying the PRT to pitch a replication study at the 2020 Accounting and Finance Association of Australia and New Zealand event. This event focused on replicable research and was a unique opportunity for research teams to pitch their replication research ideas.

Suggested Citation

  • Thomas William Aspinall & Adrian Gepp & Geoff Harris & Simone Kelly & Colette Southam & Bruce Vanstone, 2020. "Estimation of a term structure model of carbon prices through state spaces methods: a pitch," Accounting Research Journal, Emerald Group Publishing Limited, vol. 34(1), pages 106-112, December.
    • Handle: RePEc:eme:arjpps:arj-08-2020-0278
    DOI: 10.1108/ARJ-08-2020-0278
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/ARJ-08-2020-0278/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/ARJ-08-2020-0278/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/ARJ-08-2020-0278?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Han Jun S. & Kordzakhia Nino & Shevchenko Pavel V. & Trück Stefan, 2022. "On correlated measurement errors in the Schwartz–Smith two-factor model," Dependence Modeling, De Gruyter, vol. 10(1), pages 108-122, January.

    More about this item

    Keywords

    Real options; Emissions trading scheme; Pitching research; State space methods; G3; C32;
    All these keywords.

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:eme:arjpps:arj-08-2020-0278. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Emerald Support (email available below). General contact details of provider: .

    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.