Abstract
In this paper, we focus on the problem of pricing carbon options. The underlying asset of carbon options is described by a jump diffusion process. We first improve the jump test method proposed by Lee and Mykland (2008) for identifying abnormal jumps in asset price series and estimating model parameters. Building on this framework, our approach enables pricing analysts to adjust data structures with greater flexibility based on quantitative evidence, thereby enhancing the flexibility of carbon options pricing. Finally, we employ Monte Carlo simulations and empirical data to validate and discuss this method. © 2025 The Authors.
| Original language | English |
|---|---|
| Article number | 109406 |
| Number of pages | 11 |
| Journal | Finance Research Letters |
| Volume | 90 |
| Online published | 19 Dec 2025 |
| DOIs | |
| Publication status | Published - Feb 2026 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Research Keywords
- Carbon emission trading
- Carbon option
- European option pricing
- Jump diffusion model
- Lee-Mykland jump test method
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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