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Derivative pricing and hedging on carbon market

Author

Listed:
  • Dominique Guegan

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Marius-Cristian Frunza

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, Sagacarbon - Subsidiary of Caisse des Dépôts et Consignations)

Abstract

The aim of this work is to bring an econometric approach upon the CO2 market. We identify the specificities of this market, and analyze the carbon as a commodity. We investigate the econometric particularities of CO2 prices behavior and their result of the calibration. We apprehend and explain the reasons of the non-Gaussian behavior of this market focusing mainly upon jump diffusions and generalized hyperbolic distributions. These models are used for pricing and hedging of carbon options. We estimate the pricing accuracy of each model and the capacity to provide an efficient dynamic hedging.

Suggested Citation

  • Dominique Guegan & Marius-Cristian Frunza, 2009. "Derivative pricing and hedging on carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00646182, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00646182
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    Cited by:

    1. Marc Lamphiere & Jonathan Blackledge & Derek Kearney, 2021. "Carbon Futures Trading and Short-Term Price Prediction: An Analysis Using the Fractal Market Hypothesis and Evolutionary Computing," Mathematics, MDPI, vol. 9(9), pages 1-32, April.

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